48 Essential Chief Data Officer Thought Leaders

Last updated: June 2026

The Chief Data Officer role has gone from a curiosity to a cornerstone of enterprise strategy in under two decades. The people on this list are the reason why. As of June 2026, according to Deloitte's 2026 CDAO Survey, 94 per cent of Chief Data and Analytics Officers expect their influence to grow over the next 12 months, and 78 per cent say artificial intelligence has led them to have more power as decision makers. These are not predictions. They are the lived experience of the field. The list that follows brings together 48 practitioners, authors, community builders, and educators who have done the hard work of building, explaining, and advancing what it means to lead data at the highest level of any organisation.

As of June 2026, the question every executive is asking is not whether data matters, but whether their organisation has the leadership capable of translating data into decisions at scale. The 48 people on this list are the voices most likely to help you answer that question. Rather than recycling the same handful of names that appear on every technology list, this directory surfaces the practitioners and thinkers who genuinely deserve to be far better known to anyone working with or alongside data leadership. A 2026 Deloitte survey of 100 C-suite data executives found that 95 per cent believe their organisation is not fully leveraging the value of data, including 53 per cent who are extremely or very concerned about the gap. That finding is both a challenge and an opportunity, and it points directly to the value of the people profiled here.

Jonno White is a Certified Working Genius Facilitator, author of Step Up or Step Out (10,000+ copies sold), and leadership consultant who works with leadership teams globally. When data leaders want to strengthen the human dynamics inside their data function, hire Jonno White to facilitate a session. Email jonno@consultclarity.org to discuss what that looks like for your team.

For more on the broader data and analytics leadership landscape, check out my blog post '35 Leading Thought Leaders on Data Analytics Globally' at consultclarity.org/post/thought-leaders-data-analytics-globally.

Why the CDO Role Is at a Turning Point

The Chief Data Officer is no longer a technical hire made to clean up data architecture. The role has evolved into one of the most strategic seats in the C-suite, and the people who occupy it now face a remit that spans artificial intelligence governance, data product strategy, talent development, regulatory compliance, and cultural change. According to Deloitte's 2026 CDAO Survey, 63 per cent of CDAOs describe themselves as the primary drivers of data and analytics decisions in their organisations, a figure that would have seemed aspirational just five years ago. The same survey, drawn from executives at companies with over one billion dollars in annual revenue, found that 78 per cent are actively implementing data modernisation with artificial intelligence as the driving use case.

That context shapes everything. The CDO community is no longer a niche of technically fluent administrators managing pipelines. It is a growing strategic function under real scrutiny to demonstrate value, navigate AI governance risk, and build data cultures that outlast any individual leader's tenure. The IBM Institute for Business Value conducted a survey of 1,700 senior data and analytics leaders across 27 countries and 19 industries between July and September 2025, and its findings confirmed what practitioners already know: data readiness for AI is the defining challenge of this moment, and most organisations are still catching up.

The people on this list are those who have done the most to advance the field through direct leadership, published work, community building, and visible public engagement. Following them is not a passive act. Their writing, keynote sessions, podcasts, and frameworks offer a genuine shortcut to the most important conversations happening inside the CDO community right now.

Book Jonno White to facilitate a leadership team session focused on the human side of data transformation, including how teams communicate, collaborate, and hold each other accountable when the stakes are high. Reach out to jonno@consultclarity.org.

How This List Was Compiled

Each person on this list was selected on the basis of their current active contribution to the CDO community, their verified role and organisation as of 2025 or 2026, the originality and depth of their published or spoken thought leadership, and the breadth of their influence across practitioners and organisations. The list deliberately spans the full spectrum of CDO thought leadership: active practitioners in senior roles at large enterprises, authors who have defined the field's core frameworks, podcast hosts who convene the CDO community, and educators who are building the next generation of data leaders. Geographic and sector diversity were also considered, and the final 48 reflect voices from across the Americas, Europe, Asia-Pacific, and the Middle East.

Category 1: The Authors and Framework Builders

These eight people have done more than practise data leadership. They have codified it. Their books, frameworks, and conceptual contributions have given the CDO community a shared language and a clearer map of the terrain.

1. Randy Bean

For over four decades, Bean has observed, advised, and documented the evolution of data leadership in Fortune 1000 organisations. As Senior Advisor at the Data and AI Leadership Exchange and a regular contributor to Forbes, Harvard Business Review, and MIT Sloan Management Review, Bean is among the most widely read voices on what the CDO role actually demands from organisations and from the people who fill it. His work reaches senior executives who want evidence-based perspectives rather than vendor-sponsored enthusiasm, and his regular presence at the MIT CDOIQ Symposium as moderator and keynote speaker places him at the centre of the field's most substantive annual gathering.

Bean's book Fail Fast, Learn Faster captures the ethos that distinguishes effective data organisations from those perpetually caught in governance debates or proof-of-concept cycles. A 2025 Wiley title co-authored with Thomas Davenport extends their thinking on how organisations translate data ambition into commercial relationships through AI. His contribution to the conversation about what CDOs need to succeed, and why so many organisations still struggle to give them the mandate they need, is arguably unmatched in its depth and longevity.

2. Caroline Carruthers

Co-Founder and CEO of Carruthers and Jackson, Caroline Carruthers brought both the practitioner's perspective and the educator's discipline when she co-authored The Chief Data Officer's Playbook alongside Peter Jackson. As one of the first women to hold a Chief Data Officer role in the UK public sector, at Network Rail, Carruthers built her authority from direct experience navigating data leadership in a complex, high-stakes infrastructure environment. The firm she co-founded with Jackson has since established the CDO Summer School, a ten-week programme with more than 1,000 international alumni that has become one of the most recognised structured development pathways for aspiring and current data leaders globally.

Named Entrepreneur of the Year at the Computing Rising Stars Awards in 2020 and one of the top 20 inspirational female role models in data by The Female Lead in 2018, Carruthers combines commercial credibility with genuine advocacy for the profession. The firm's annual Data Maturity Index, which surveys hundreds of data leaders worldwide, produces some of the most honest published data on the state of data governance and literacy across industries.

3. Peter Jackson

Peter Jackson is Chief Data and Technology Officer at Outra, a UK-based data company delivering insight across 30 million UK households, and co-founder of Carruthers and Jackson alongside Caroline Carruthers. His career spans five Chief Data Officer or equivalent roles before his current position, including CDO at Southern Water, Group Director of Data Sciences at Legal and General, and Chief Data and Analytics Officer at Exasol. That operational depth makes Jackson one of the most credible practitioner-voices in the CDO author community.

Jackson co-authored three books with Carruthers that together constitute what many in the field consider the foundational CDO library: The Chief Data Officer's Playbook (first and second editions), and Data Driven Business Transformation. He also serves as course leader at the Carruthers and Jackson Data Leaders Summer School, where he translates his hands-on leadership experience into structured learning for the next generation of CDOs. Regular LinkedIn posts on data strategy, data maturity, and the evolving CDO mandate reflect an active, opinionated engagement with the profession.

4. Martin Treder

Germany-based Martin Treder is one of the few CDO-community voices to have written a comprehensive practitioner handbook for the CDO role from an operational rather than a conceptual standpoint. His book The Chief Data Officer Management Handbook, published by Apress, covers the data supply chain, data governance, data strategy, and the practical mechanics of building and running a data office. Treder spent a decade establishing and leading the international data management organisations of DHL Express, TNT Express, and FedEx Express, which gives his writing the credibility that comes from navigating data governance across complex, multinational environments where errors carry direct operational consequence.

Treder's LinkedIn presence reflects a consistent, substantive engagement with data management practice, including bi-weekly thought pieces on data quality, business case development for data investments, and the cultural conditions that make data governance sustainable rather than performative.

5. Sunil Soares

Sunil Soares is the Founder and Managing Partner of Information Asset, a consulting firm specialising in data governance, and the author of 12 books on data management. The Chief Data Officer Handbook for Data Governance remains one of the most widely cited practical guides for CDOs establishing or rebuilding governance programmes. Before founding Information Asset, Soares served as Director of Information Governance at IBM, where the work took him across multiple continents on data strategy. The most recent book, AI Governance Comprehensive, addresses the governance challenge that has become the defining agenda item for CDOs navigating enterprise AI adoption.

Soares holds the AI Governance Practitioner certification from the International Association of Privacy Professionals and serves as an IEEE CertifAIed AI Ethics Assessor, giving the governance frameworks a cross-disciplinary grounding that distinguishes them from purely technical approaches.

6. Laura Madsen

Laura Madsen authored Disrupting Data Governance, a book that challenges the conventional wisdom about how organisations should approach data stewardship. The central argument, that governance should support data usage rather than restrict it, has resonated widely with CDOs navigating the tension between risk management and the need to move quickly on AI and analytics initiatives. Decades of practitioner experience inform this writing and speaking, and the ability to reframe governance as an enabler rather than a bureaucratic constraint has made this one of the more distinctive voices in a field that can default to prescriptive frameworks.

This thought leadership has appeared across industry publications and conference stages, and ongoing engagement with the practitioner community through platforms such as Dataversity reflects a genuine commitment to making governance concepts accessible to the professionals who have to implement them.

7. Anthony Scriffignano

Anthony Scriffignano, PhD, is a Distinguished Fellow at The Stimson Center and the former Senior Vice President and Chief Data Scientist at Dun and Bradstreet, where he spent more than two decades working with what was then arguably the world's largest commercial database. Recognised as the US Chief Data Scientist of the Year by the CDO Club, Scriffignano is an internationally recognised thought leader whose expertise spans advanced algorithms, linguistics, and AI ethics. His work on trustworthy AI, data veracity, and the multilingual challenges of global data identity has placed him at the intersection of data science and national security policy.

Scriffignano has presented at the World Internet Conference in China, briefed the US National Security Telecommunications Advisory Committee, and advised on data and AI strategy at the highest levels of government. His continuing engagement through speaking, interviews, and advisory roles reflects a career-long commitment to the responsible application of data at scale.

8. Kyle Winterbottom

Kyle Winterbottom is CEO of Orbition Group and host of Driven by Data, a podcast that has become one of the most listened-to resources in the CDO and data leadership community. Named to the DataIQ 100 list of the most influential people in data for 2022, 2023, and 2024, Winterbottom has spent over 15 years working inside the data and analytics talent landscape, which gives him a distinctive vantage point on why data leadership appointments succeed or fail. The podcast features conversations with Chief Data Officers from across industries and geographies, and a willingness to ask uncomfortable questions about why CDO mandates so often get misaligned gives the show a candour that practitioners consistently find useful.

In October 2025, Orbition Group hosted Driven by Data LIVE, bringing 120 CDOs and data leaders together in London for panel discussions on data value, AI adoption, and the evolving CDO mandate. Winterbottom's contribution to the CDO community is not primarily conceptual but connective, and in a community where peer learning is often the most effective form of development, that is a genuine and undervalued form of thought leadership.

For more on data leadership talent strategy in Australia and New Zealand, check out my blog post '50 Essential Data Analytics Thought Leaders in ANZ' at consultclarity.org/post/data-analytics-thought-leaders-anz.

Category 2: The Enterprise CDO Practitioners

These CDOs are leading data functions inside some of the world's largest organisations. Their direct experience navigating the scale, complexity, and politics of enterprise data leadership makes them among the most instructive voices in the field.

9. Teresa Heitsenrether

Teresa Heitsenrether is Chief Data and Analytics Officer at JPMorgan Chase and a member of the firm's Operating Committee, one of the most senior data leadership roles at any financial institution globally. Having spent her entire career at the bank, including as Global Head of Securities Services overseeing thirty trillion dollars in client assets, Heitsenrether brings both institutional credibility and the authority that comes from demonstrating commercial results before taking on the CDAO seat.

At the MIT CDOIQ Symposium in July 2025, Heitsenrether shared that JPMorgan Chase has made its CDAO role part of the firm's operating committee and reports directly to the CEO, a structural signal that data leadership is a commercial initiative rather than a technical function. With 200,000 employees using AI tools daily, the focus is on translating data quality into the foundation that makes enterprise AI deployable rather than merely aspirational.

10. Amy Lenander

Amy Lenander is Chief Data Officer at Capital One and ranked number one on the DataIQ 100 North America list for 2025. This recognition reflects a tenure in which Lenander has modernised Capital One's data ecosystem and embedded it deeply into the bank's operational strategy, from platform architecture to boardroom reporting. Capital One has long been regarded as one of the most data-mature organisations in financial services, and this work has continued that trajectory into the AI era.

Lenander's particular contribution is demonstrating what it looks like when a CDO understands the business well enough to reshape its future, not just manage its data. That influence reaches practitioners across financial services who are working out what genuine data maturity looks like inside a regulated enterprise.

11. Kjersten Moody

Kjersten Moody is Chief Data Officer at Prudential Financial, where she joined as the company's inaugural global CDO in 2020. Before Prudential, she served as the first Chief Data and Analytics Officer at State Farm, and before that spent years in data leadership at Unilever based in London, where she led data operations across 190 countries. That international perspective informs her thinking on how data organisations need to balance global standards with local operational realities.

Moody co-founded High Peak, a Prudential start-up to commercialise the company's AI capability in individual life insurance underwriting, which reflects a CDO approach focused on turning data governance into new commercial value rather than solely on managing risk. Participation in Deloitte's Data Leaders 25 cohort and regular speaking engagements position her as one of the most credible voices on purpose-driven data leadership in financial services.

12. Diana Schildhouse

Diana Schildhouse is Executive Vice President and Chief Data and Analytics Officer at Colgate-Palmolive, a role she expanded in June 2025 to include oversight of data, analytics, and artificial intelligence across an organisation operating in more than 200 countries and territories. Her starting insight was that advanced analytics and AI cannot scale without the data foundations that make them trustworthy, a principle applied consistently across the years building Colgate-Palmolive's data and analytics capability.

Schildhouse describes this work as data storytelling, which reflects a commitment to translating complex analytical capability into the business language that drives decisions. Regular speaking at industry events and a willingness to describe the challenges of the role with candour, including the ongoing work of managing data quality in a multinational consumer goods environment, makes these interviews among the more practically useful in the field.

13. Loretta Franks

Loretta Franks is SVP and Global Chief Data Officer at Mars, a role carried over from Kellanova following the company's acquisition by Mars in December 2025. Franks had served as Global CDAO at Kellanova for four years before the acquisition, during which time she built a data-led culture across a business spanning 180 countries. The RGM Navigator capability, a data product built to optimise pricing and promotional decisions using AI and machine learning, delivered a one-dollar incremental revenue return for every dollar invested by the Kellanova Marketing Fund, a demonstration of data value that speaks to boards and CFOs rather than only to data teams.

Franks' approach centres on advancing data literacy alongside technical capability, on the principle that tools without people-change achieve little. LinkedIn content and speaking engagements reflect a consistent focus on how data leaders build trust and embed data thinking into the everyday decisions of large, distributed organisations.

14. Elena Alikhachkina

Elena Alikhachkina is Chief Data and AI Officer at TE Connectivity, a Fortune 500 manufacturer of connectivity and sensor solutions operating across more than 140 countries. Her session at the CDAO Fall 2025 conference drew strong attention for its focus on building AI capabilities that deliver real business impact, including concrete strategies for investing in talent, infrastructure, and tools in a manufacturing environment where the intersection of operational technology and data leadership is still emerging.

Alikhachkina's observation at the 2025 CDOIQ Symposium, that effective CDOs are now enablers of confidence, alignment, and decision velocity rather than stewards of infrastructure, offers one of the cleaner formulations of how the role has evolved. This perspective is particularly valuable for CDOs navigating industrial and manufacturing sectors where data maturity often lags behind financial services and technology but where the operational consequences of data quality failures are immediately visible.

15. Ash Dhupar

Ash Dhupar is Chief Data and AI Officer at Analog Devices, a Fortune 500 semiconductor and electronic components company. A Driven by Data episode featured Dhupar on how data leaders can link their work directly to measurable earnings before interest and taxes contribution, a challenge that remains one of the most persistent difficulties for CDOs seeking to secure sustained executive investment in data capability.

Dhupar's perspective is shaped by the specific demands of a technology manufacturer where data strategy must translate into product quality, supply chain resilience, and customer responsiveness simultaneously. This practical orientation toward financial value demonstration makes the thinking useful to CDOs in sectors where the business case for data investment must be expressed in operational rather than purely strategic terms.

16. Ranil Boteju

Ranil Boteju is Chief AI Officer at Commonwealth Bank of Australia, a role assumed in early 2026 after serving as Group Chief Data and Analytics Officer at Lloyds Banking Group in London. At Lloyds, Boteju led a team of over 2,000 people and delivered more than 50 generative AI initiatives that lifted the bank's ranking in the 2025 Evident AI Index by 12 places. His return to Australia, where he had begun his career at Commonwealth Bank before spending 15 years overseas at Standard Chartered, HSBC, and Lloyds, brings one of the most experienced AI-era data leaders in banking back to the Asia-Pacific market.

Boteju's trajectory illustrates the tightening relationship between the CDO and CAIO roles that defines the current moment in data leadership. Hands-on experience building production-scale generative AI capability inside a major regulated bank gives this thinking on AI governance, talent, and infrastructure a practical grounding that is difficult to replicate from outside enterprise environments.

17. Erin Evans

Erin Evans is CEO of Intelligen, a specialist data and analytics consulting firm, and host of the Humanising Data podcast, which has become one of Australia's most listened-to resources for data and analytics professionals. Now in its third season, the podcast has featured conversations with chief data officers, data engineers, and analytics leaders across Australia and New Zealand, exploring the human dimensions of data careers alongside the technical and strategic ones.

Evans brings a talent strategist's perspective to the CDO community, understanding why data leadership appointments succeed or struggle, what makes teams flourish or fragment, and how organisations can build the data capability they need in a competitive talent environment. This work builds the community that sustains the profession rather than the frameworks that describe it, and that contribution is essential to a field that learns as much from peer conversation as from formal research.

18. Paul Ballew

Paul Ballew is Chief Data and Analytics Officer at the National Football League, where data strategy is applied across an organisation managing more than eighteen billion dollars in annual revenue and serving stakeholders ranging from franchise owners and players to media partners and fans. His career before the NFL spanned CDAO roles at General Motors, Dun and Bradstreet, Nationwide Insurance, and Ford Motor Company, giving him three decades of experience translating data leadership across radically different organisational cultures.

Ballew's podcast appearance with Securiti's Jack Berkowitz explored the governance challenges of managing complex data ecosystems with competing stakeholder demands. The observation that governance is like squeezing jello, that it requires constant pressure applied simultaneously from multiple directions, captures a frustration that CDOs in complex multi-stakeholder environments recognise immediately.

19. Jon Francis

Jon Francis is Chief Data and Analytics Officer at State Farm, having joined in November 2025 from General Motors, where he served as CDAO. This role at State Farm sits at the intersection of digital strategy and data analytics in one of the largest insurance organisations in the world. Before General Motors, his career included CDAO and senior analytics leadership roles at Nike, Starbucks, and PayPal, an unusually diverse set of consumer businesses that has given him cross-sector perspective on how data organisations are built and sustained across different organisational cultures.

His work at General Motors focused on enterprise data strategy spanning manufacturing, product development, customer insights, and AI-powered predictive analytics. The decision to move from automotive to insurance reflects the cross-sector portability of CDO leadership that distinguishes the strongest practitioners in the field.

20. Ryan Swann

Ryan Swann is Principal and Chief Data Analytics Officer at Vanguard, one of the world's largest investment management firms with more than eight trillion dollars under management. Participation in the CDOIQ Symposium panel in July 2025 alongside Teresa Heitsenrether and Chandra Donelson placed Swann among the most senior practitioners discussing how the CDO role must adapt to remain relevant and drive business impact in the AI era.

Vanguard's data environment is one of the most complex in financial services, given the scale of its client base, the regulatory requirements of investment management, and the degree to which data quality directly affects the retirement outcomes of millions of individuals. Experience navigating data leadership at that scale gives this thinking a grounding in consequences that is often absent from more theoretical treatments of the CDO role.

21. Don Vu

Don Vu is Senior Vice President and Chief Data and Analytics Officer at New York Life, one of the largest mutual life insurance companies in the United States. Presence at the CDOIQ Symposium alongside Swann, Heitsenrether, and Donelson reflects standing in the senior CDO practitioner community as a voice on how the role must evolve to drive measurable business impact.

New York Life's mutual structure, where the organisation's obligations run directly to policyholders rather than shareholders, creates a distinctive data governance environment where trust and stewardship carry particular weight. A perspective on building data organisations that are accountable to long-term obligations rather than quarterly earnings is relevant to any CDO operating in a trust-dependent sector.

22. Slawek Kierner

Slawek Kierner is Senior Vice President and Chief Data and Analytics Officer at Humana, one of the largest health insurance companies in the United States. Panel participation at Forrester's Data Strategy and Insights forum placed Kierner alongside other senior CDOs discussing the future of the role, and a focus on linking analytics to health outcomes reflects the particular demands of data leadership in a sector where the stakes extend beyond commercial return.

Healthcare data leadership requires navigating regulatory complexity, data privacy sensitivities, and the operational realities of a sector where data quality can have direct clinical implications. Experience building analytics capability inside a large health insurer gives this perspective a sector-specific depth that is increasingly relevant as CDOs across industries grapple with questions of accountability and impact.

23. Wendy Harrington

Wendy Harrington is Chief Data and AI Officer at TIAA, the financial services organisation dedicated to those who serve the greater good, including academics, researchers, and non-profit workers. In this role, Harrington launched Nuveen Labs, an initiative using data, analytics, and AI to develop superior investment capabilities for TIAA's investment management subsidiary. Before joining TIAA, she served as Chief Marketing Officer at Franklin Templeton, where she led a global team through a period of significant asset growth, and as CMO at Figure Technologies.

Board membership at Accelerant, an insurance technology platform, and advocacy for developing data talent from underrepresented groups reflect a leadership philosophy that combines commercial ambition with community investment. A willingness to be visible in the data community on questions of diversity, talent development, and mission-driven analytics makes this a distinctive voice in an ecosystem that can default to technical rather than human dimensions.

24. Julie Gerdeman

Julie Gerdeman is Global Head of Data and Analytics at BNY, the world's largest custody bank. She joined from Everstream Analytics, where she served as CEO, and before that held executive roles at SAP Ariba, J.P. Morgan, and American Express. BNY Chief Growth Officer Akash Shah described her appointment in April 2025 as combining innovative software experience with the bank's unique reach to create transformative opportunities for putting data into action through insights.

Gerdeman's distinctive background, which includes CEO experience at a supply chain intelligence company, gives a broader commercial frame than many data executives who have developed purely within financial services. A focus on developing data products and driving new commercial growth through analytics reflects BNY's ambition to position its data as a client-facing asset rather than solely an internal governance resource.

25. Eric Hirschhorn

Eric Hirschhorn is Chief Data Officer at BNY Mellon, a role held since joining from BGC Partners in 2020. His scope covers enterprise data management, master data strategy, data governance, and the lake architecture that enables the firm's AI and machine learning initiatives. Participation in the FIMA US 2026 conference placed Hirschhorn among the senior data leaders discussing financial industry data management challenges.

A fintech background spanning Global Head of Rates and FICC eTrading Technology at Bank of America and Chief Technology Officer for Fixed Income at Morgan Stanley gives a systems-level understanding of how data flows through complex financial market infrastructure that is relatively rare among CDO practitioners.

26. Margery Connor

Margery Connor is Chief Data and Analytics Officer at Chevron, one of the world's largest integrated energy companies. Participation at the DataIQ 100 US Summit in Nashville in May 2025 placed Connor among the most senior CDOs discussing data strategy, AI adoption, and governance challenges across major US corporations. Energy sector data leadership carries distinctive challenges, including the integration of operational technology data with enterprise analytics, and the pressure to use data to accelerate the energy transition while maintaining reliability and safety.

27. Ido Biger

Ido Biger is Executive Vice President and Chief Information and Data Officer at Delek US, an integrated energy company. Participation at both the DataIQ 100 US Summit and the Randy Bean-moderated CDAO executive roundtable in February 2026 reflects active engagement with the senior CDO practitioner community. Experience navigating the intersection of data, technology, and business transformation in an energy company places Biger at the forefront of a sector working through rapid data maturity development.

Category 3: The Government and Public Sector CDOs

28. Adita Karkera

Dr Adita Karkera is Chief Data Officer for Deloitte Consulting's Government and Public Services practice, where she shapes data strategy for the firm's public sector clients. With over 25 years of industry experience, a PhD in Computer Information Science from the University of Arkansas focused on CDO roles in government settings, and adjunct faculty status at Carnegie Mellon University, Karkera brings academic depth to a practice that often struggles to translate research into public sector implementation.

As the founding Deputy Chief Data Officer for the State of Arkansas, where she established the state's first CDO office and served on the Governor's COVID-19 Technical Advisory Board, Karkera has direct experience building data leadership capability from scratch in a resource-constrained government environment. Named Data Leader of the Year by World Leaders in Data and AI and recognised multiple times as a Global Data Power Woman by CDO Magazine, her contribution spans practice, advocacy, and community building for women in data and AI leadership.

29. Chandra Donelson

Chandra Donelson served as Chief Data and Artificial Intelligence Officer for the United States Space Force from 2023 until April 2026, when she transitioned to a new role as Strategic Advisor for Enterprise HR IT Modernisation, Analytics and AI at the Assistant Secretary of the Air Force for Manpower and Reserve Affairs. During her Space Force tenure, she was responsible for a portfolio of over four billion dollars aimed at enhancing decision-making and capabilities for warfighters, including AI-enabled capabilities and the modernisation of legacy systems.

Named CDO Magazine's Global Executive of the Year 2025 and the top-ranked honoree on the Data Leaders 100 North America list, Donelson is among the most decorated data leaders in the public sector. She is also a published children's book author, having written The Data Detective at the Carnival in 2024 and The Data Detective at the Airport in 2025, works created to introduce data concepts to young readers. Her transition from the Space Force to a new advisory role continues her contribution to the modernisation of federal data capability.

30. Eileen Vidrine

Eileen Vidrine served as Chief Data and Artificial Intelligence Officer for the Department of the Air Force before transitioning to the private sector as CEO and Founder of Vidrine Vantage LLC. Over more than five years leading data and AI at the Air Force, she developed and implemented enterprise data strategy, digital transformation, and responsible AI governance across one of the most complex data environments in the world. An earlier career at the Office of the Director of National Intelligence and a White House Fellowship in 2016 give a cross-government perspective on data policy that few practitioners can match.

Vidrine is a board member of Women in Data, which reflects a commitment to developing diverse talent pipelines for the data and AI profession. Her transition to Vidrine Vantage positions her to carry the principles of responsible, mission-driven data leadership from the public sector into the commercial organisations that need to build their own versions of those capabilities.

31. Linda Powell

Linda Powell is a former Deputy Chief Data Officer at BNY Mellon and former CDO at both the Consumer Financial Protection Bureau and the Office of Financial Research at the US Treasury Department. Now operating as an independent data governance consultant, speaker, and educator, Powell brings a rare combination of financial regulatory experience and governance practitioner depth that gives a distinctive perspective on the real-world challenges of data stewardship in high-accountability environments.

Active engagement with the data governance community through platforms such as Dataversity, including a 2026 webinar on making governance work in the real world, reflects a career-long commitment to translating governance principles into practical execution. LinkedIn posts on the gap between governance theory and institutional reality draw on direct experience in some of the most challenging data environments in the US financial system.

Category 4: The Sector CDOs

32. Sarita Bakst

Sarita Bakst is Senior Vice President and Chief Data Officer at TD Bank Group, one of North America's largest financial institutions. In 2026, Bakst joined CDO Magazine's Global Board, reflecting standing within the senior CDO community. This role at TD Bank places Bakst at the centre of data governance and strategy challenges that define financial services CDO leadership in Canada, including regulatory compliance, cross-border data management, and the building of AI capability inside a highly regulated environment.

33. Johanna Hutchinson

Johanna Hutchinson is Chief Data Officer at BAE Systems, a global defence, aerospace, and security company operating in highly sensitive data environments where governance failures carry national security implications. Participation in the Driven by Data LIVE event in October 2025 placed Hutchinson in conversation with peers on the theme of leading with a legacy of impact, including how CDOs distinguish between short-term value creation and long-term data transformation.

A perspective on data leadership in a defence context, where the consequences of data quality and governance failures are more serious than in most commercial sectors, offers lessons that translate to any CDO navigating high-stakes data environments.

34. Emma York

Emma York is Chief Data Officer at London Stock Exchange Group, a global financial markets infrastructure provider where data quality and data products are core commercial assets. Participation at CDAO UK 2026, including a session on embedding compliance and ethics directly into platforms and AI models, reflects a focus on making governance operational rather than declarative.

The LSEG context gives York's perspective a distinctive edge: the organisation both consumes data at scale for its own operations and sells data products to financial market participants globally, creating a CDO remit that spans internal data governance and external data commercialisation simultaneously.

35. Paul Hollands

Paul Hollands is Chief Data and AI Officer at AXA, one of the world's largest insurance and financial services groups. Participation at Driven by Data LIVE in October 2025 and visible engagement with the CDO community in the UK and Europe reflect an active thought leadership presence beyond operational responsibilities.

The insurance sector's combination of regulatory intensity, actuarial data requirements, and emerging AI use cases creates a particularly demanding CDO environment, and experience navigating that complexity at one of the sector's global leaders gives this perspective on data governance and AI strategy a practical grounding that is useful across financial services.

36. Steve Pimblett

Steve Pimblett is Chief Data Officer at Rightmove, the UK's largest property portal, where data is both the core product and the operational foundation. Presence at Driven by Data LIVE in October 2025 alongside Ranil Boteju, Loretta Franks, and others placed Pimblett in the company of some of the most senior data practitioners in the UK.

At a digital-first property platform, data is not an internal enabler but the product itself, which creates a CDO remit that combines traditional governance responsibilities with product management and customer-facing data strategy. A perspective on what it means to lead data in a company where data and technology are inseparable from the core value proposition is increasingly relevant as more organisations move toward data-as-product models.

37. Kinnari Ladha

Kinnari Ladha is Chief Data Officer at Merlin Entertainments, the global attractions company operating theme parks, midway attractions, and accommodation worldwide. Participation at Driven by Data LIVE in October 2025 reflected active engagement with the UK CDO practitioner community, with a panel discussion centred on governance, accountability, and what it means to build a lasting data legacy inside a consumer-facing business.

The consumer entertainment context creates a data leadership challenge centred on personalisation, customer experience, and operational efficiency across a diverse portfolio of physical venues in multiple countries. Experience building data capability in a sector that often receives less attention in data leadership discourse than financial services or technology brings a valuable cross-sector perspective to the community.

38. Daniel Hulme

Daniel Hulme is Chief Data and AI Officer at WPP, the world's largest advertising and communications company. This role spans a global network of agencies, technology platforms, and data assets that WPP uses to deliver marketing effectiveness for some of the world's most recognised brands.

The WPP context creates a CDO remit at the intersection of data, creativity, and commercial performance that is genuinely different from the operational and regulatory CDO environments that dominate the community's discourse. Engagement with the CDO practitioner community through events such as Driven by Data LIVE and active LinkedIn content reflect a commitment to contributing to the broader conversation about data leadership beyond a specific sector.

39. Davin Crowley-Sweet

Davin Crowley-Sweet is Chief Data Officer at National Highways, the UK government company responsible for operating, maintaining, and improving the motorway and major trunk road network in England. Participation at Driven by Data LIVE in October 2025 placed Crowley-Sweet in the CDO community as a practitioner navigating data leadership in a critical national infrastructure context.

The public infrastructure environment creates data governance challenges around safety, accountability, and public trust that carry a different weight from commercial CDO roles. This contribution is the practitioner perspective from an organisation where data quality and governance have direct implications for public safety and infrastructure reliability.

40. Prasad Uddaraju

Prasad Uddaraju joined MUFG in 2026 as the financial group's first Chief Data and Artificial Intelligence Officer, a newly created role designed to lead enterprise data strategy, analytics, AI strategy, and governance across one of the world's largest banking groups by assets. This appointment follows executive roles at JPMorgan Chase, First Republic Bank, Citi Markets, and Infosys, giving cross-institutional perspective on how data leadership operates inside large, complex financial organisations.

The creation of a dedicated CDAIO role at a Japanese financial institution of MUFG's scale and global reach represents a significant moment for data leadership in the Asia-Pacific financial sector, and this appointment signals a cross-pollination of data leadership practice between regions.

41. Vladimir Bendikow

Vladimir Bendikow is Chief Data Officer at FirstBank UK Unlimited, where active participation in the UK CDO community, including CDAO UK 2026, reflects engagement with the questions shaping data leadership in the digital banking sector. The FirstBank context creates a data leadership challenge specific to growing digital banks, where architecture decisions and governance frameworks have direct implications for product velocity and regulatory compliance.

Bendikow's perspective on building data capability in a sector where the competitive landscape shifts rapidly and where regulatory requirements from UK financial authorities create non-negotiable governance obligations contributes a viewpoint that is underrepresented in the broader CDO community discourse.

Category 5: The Educators, Community Builders, and Advocates

42. Sol Rashidi

Sol Rashidi is Chief Strategy Officer for Data and AI at Cyera, having previously held CDO and CDAO roles at Sony Music, Merck Pharmaceuticals, Royal Caribbean, and Estee Lauder, and having played a pivotal role in launching IBM Watson in 2011. Widely recognised as one of the earliest practitioners to hold a Chief AI Officer title in a commercial enterprise, Rashidi holds ten granted patents and was named LinkedIn's Top Voice of the Year for 2026.

Her book Your AI Survival Guide, which draws on direct experience navigating AI deployments across Fortune 100 environments, offers practitioners a candid account of what enterprise AI adoption actually involves. Speaking at more than 200 conferences globally and consistent advocacy for amplifying human potential through AI rather than replacing it makes Rashidi one of the most prominent translators between the technical reality of AI and the organisational reality of implementing it.

Organisations looking to navigate the AI-era CDO landscape can reach Jonno White at jonno@consultclarity.org for facilitation support on the leadership team dynamics that determine whether AI investments land or stall.

43. Noelle Russell

Noelle Russell is a multi-award-winning AI executive, author, and speaker. Named the number one Agentic AI Leader in 2025 and recognised as a four-time Microsoft Responsible AI MVP, Russell has led AI and data initiatives at NPR, IBM, AWS, and Amazon Alexa. The founder of the I Love AI community, which focuses on responsible AI education, Russell has built one of the most visible platforms in the CDO and AI community for practitioners who want to think carefully about governance, literacy, and inclusion alongside capability.

Consistent championing of data and AI literacy as the foundation for responsible AI adoption reflects a perspective that complements the technical and governance dimensions of CDO work with a human-centred approach to how organisations and their people actually engage with AI tools. Appearances on The Data Chief podcast and active social media engagement reflect a genuine community-building commitment.

44. Sadie St. Lawrence

Sadie St. Lawrence is CEO of the Human Machine Collaboration Institute and Founder of Women in Data, a global non-profit organisation now represented in 55 countries with more than 70,000 community members. Named to DataIQ's Top 100 Most Influential People in Data for 2024 and recognised as a Top 30 Woman in AI, St. Lawrence has built the largest dedicated community for women in data and technology roles globally.

The work on human-centred AI, pursued through the Human Machine Collaboration Institute, addresses the question of how organisations can use AI to amplify human potential rather than displace it. As an instructor at Coursera and LinkedIn Learning who has educated over 600,000 people in data science, St. Lawrence represents a form of CDO community contribution that operates at genuine scale: democratising access to data skills rather than concentrating them in a small number of elite organisations.

45. Wendy Turner-Williams

Wendy Turner-Williams is Chief Data, Architecture and Intelligence Officer at SymphraAI, an AI company she co-founded and joined in December 2025. Prior executive roles have spanned major technology and enterprise organisations, and the decision to take a co-founder role at an AI company reflects the direction many senior data executives are taking as the CDO community navigates the transition from data management to AI product development.

CDO Magazine recognised this appointment as reflective of the senior talent increasingly moving from established enterprise CDO roles into the AI-native company sector, a trend that is reshaping where CDO expertise is being applied and how it is being commercialised.

46. Lamiaa Farrag

Lamiaa Farrag is Head of Data and Digital Consumer Engagement at Nestle, where she shapes data strategy for consumer engagement across one of the world's largest food and beverage companies. With over two decades of experience building data and digital centres of excellence across Europe, the Middle East and Africa, and the United States, for organisations including Cigna and Schaeffler Group, Farrag brings a cross-regional perspective on data leadership that is genuinely global in its scope.

Participation at the Data Intelligence Summit NYC 2026 and regular LinkedIn engagement on topics including data-driven portfolio strategy, AI in consumer goods, and leadership authenticity reflect an active thought leadership presence that extends beyond operational responsibilities.

47. Ronke Ekwensi

Ronke Ekwensi is Vice President of the Global Data Office at Applied Materials, a global semiconductor manufacturing equipment company, having previously served as Vice President and Chief Data Officer at T-Mobile. Participation as a panellist at the ICONIQ Capital CDO/CAIO Executive Roundtable in February 2026, alongside Randy Bean, Teresa Heitsenrether, and Kalyani Sekar, reflects standing in the senior CDO practitioner community.

Applied Materials' position at the intersection of semiconductor technology and data-intensive manufacturing gives Ekwensi a perspective on industrial data leadership, including data quality in precision manufacturing and data governance in a dual-use technology environment, that is valuable to CDOs across manufacturing and technology sectors.

48. Kalyani Sekar

Kalyani Sekar is Senior Vice President and Chief Data and AI Officer at Verizon, one of the largest telecommunications companies in the United States. Participation at the ICONIQ Capital CDO/CAIO Executive Roundtable in February 2026 alongside Ronke Ekwensi, Randy Bean, and Teresa Heitsenrether reflects standing among the most senior data and AI leaders in the US enterprise community.

The telecommunications context creates a data leadership environment defined by the scale of customer data, the velocity of network data, regulatory requirements, and the strategic pressure to use data to differentiate service quality and drive customer retention. Experience navigating those pressures in one of the largest US telecoms makes this perspective on data strategy and AI adoption directly applicable to large-scale enterprise CDO challenges across sectors.

Engage Jonno White to run an executive offsite session on team dynamics, decision-making, and accountability for your data leadership team. Email jonno@consultclarity.org.

Notable Voices We Almost Included

Several practitioners were seriously considered for this list but were not included for reasons worth naming. Thomas Davenport, author of Competing on Analytics and one of the founders of the modern analytics movement, is among the voices whose work underpins the CDO community but whose profile is covered in the broader data and analytics thought leader lists on this site. Cindi Howson, Chief Data Strategy Officer at ThoughtSpot and host of The Data Chief podcast, is similarly profiled in the broader data and analytics list. The goal here was to surface the voices specifically associated with the CDO role, its practice, and its community, rather than to recycle voices that appear on every data list.

Others, including several strong CDO practitioners from the Middle East, Latin America, and South-East Asia, were considered but could not be verified with sufficient current and independent source documentation at the time of compilation to meet the standards applied to the rest of the list.

Common Mistakes CDO Thought Leaders Say Organisations Make

The single most consistent finding across the work of the people on this list is the gap between data ambition and data readiness. Ninety-five per cent of CDAOs surveyed by Deloitte in 2026 believe their organisation is not fully leveraging the value of data. That figure is not a measurement of failure. It is a measurement of aspiration, and it points to a predictable set of mistakes that the practitioners on this list discuss in their writing, speaking, and community engagement.

The first mistake is treating data governance as a compliance exercise rather than an enabler of decision-making. Laura Madsen's core argument in Disrupting Data Governance is that governance programmes fail most often not because they are technically flawed but because they are positioned as restrictions on data use rather than as the foundation that makes trustworthy data use possible. That reframing is difficult inside organisations where governance was originally implemented to manage risk rather than unlock value, but it is the reframing that distinguishes mature data organisations from those still locked in the compliance mindset.

The second mistake is hiring CDOs without giving them the mandate they need. Randy Bean has written extensively on the systemic problem of CDOs hired with a broad remit but without board-level visibility, budget authority, or the structural position in the organisation that allows them to drive cross-functional change. Teresa Heitsenrether's observation that making the CDAO part of the operating committee and reporting to the CEO is a commercial signal, not a technical one, captures what effective mandate actually looks like in a large enterprise.

The third mistake is chasing AI before establishing data foundations. Kjersten Moody's consistent message is that data teams going into 2025 and beyond need to accelerate data readiness for AI usage, which means that data quality, data architecture, and data governance have to precede AI deployment rather than follow it. The CDOs on this list who are navigating the most visible AI deployments are the ones who invested in foundations first.

The fourth mistake is underinvesting in data literacy at every level of the organisation. Sadie St. Lawrence's Women in Data community and the Human Machine Collaboration Institute address the workforce development dimension of this challenge at scale. Kyle Winterbottom's Driven by Data podcast regularly surfaces the reality that the technical capability of a data organisation is only as effective as the business leaders who can translate data insights into decisions.

The fifth mistake is building data organisations structured around technology rather than around business value. Kyle Winterbottom's argument that most CDO hires fail because organisations misunderstand the role's purpose points to a structural misalignment that begins before the CDO is hired. When organisations build the CDO role around platform delivery rather than around strategic use cases, they create the conditions for a misalignment that no individual leader can resolve from inside the role.

Organisations that want to address the human dynamics inside their data function can bring Jonno White in to facilitate a session. Email jonno@consultclarity.org.

Implementation Guide: How to Learn from the CDO Community

The practitioners on this list are active across multiple platforms and formats, and engaging with their thought leadership requires a deliberate strategy rather than passive consumption. The first step is distinguishing between the formats that best serve different learning goals. Randy Bean's contributions to Harvard Business Review and MIT Sloan Management Review are the formats best suited for executives who want research-backed perspectives on CDO strategy and organisational design. Kyle Winterbottom's Driven by Data podcast is the format best suited for practitioners who want honest, peer-level conversation about the operational realities of data leadership. Caroline Carruthers and Peter Jackson's books are the formats best suited for professionals building or rebuilding a data office and looking for a practical framework rather than a conceptual overview.

The second step is engaging with the community rather than simply consuming its output. The CDO Summit, the MIT CDOIQ Symposium, CDAO events from Corinium, and the DataIQ summits are all events where the practitioners on this list are active as speakers, moderators, and participants. Attending these events, or following their live social media coverage, provides access to the current conversations that shape the community's thinking months before those conversations become published articles or books.

The third step is following the practitioners who are most relevant to your sector and stage. A CDO at a regulated financial institution will get more value from following Teresa Heitsenrether, Amy Lenander, Ranil Boteju, and Wendy Harrington than from following practitioners whose experience is primarily in consumer goods or infrastructure. A CDO building a data office from scratch will get more value from Caroline Carruthers, Peter Jackson, and Martin Treder than from practitioners who are managing mature, well-resourced data organisations at Fortune 100 companies.

The fourth step is applying what you learn to the specific team and cultural dynamics of your own organisation. The thought leaders on this list can describe what good data leadership looks like, but the gap between description and execution is where leadership capability, team design, and organisational culture do their work. For leadership teams working on the human dimensions of that gap, including how to build accountability, how to communicate across technical and business divides, and how to create the culture that makes data-driven decisions the default, hire Jonno White to facilitate a session. International travel is often far more affordable than clients expect. Whether virtual or in person, reach out to jonno@consultclarity.org.

For more on building high-performing data and technology leadership teams, check out my blog post '50 Best Thought Leaders in Technology (2026)' at consultclarity.org/post/50-best-thought-leaders-in-technology-2026.

Frequently Asked Questions

What is a Chief Data Officer thought leader? A Chief Data Officer thought leader is a practitioner, author, educator, or community builder whose published or spoken contributions have materially advanced how organisations and professionals think about data leadership. The defining characteristic is an original contribution to the field's frameworks, community, or practice, rather than simply holding a senior data title. The people on this list have built something, written something, or led something that has moved the conversation forward and given the CDO community a clearer map of the challenges and opportunities that define the role.

How is the CDO role different from the CIO or CISO role? The Chief Data Officer role is focused on extracting strategic value from data assets, including data governance, data quality, data product development, and the cultural change required to make data-driven decision-making the operational standard of an organisation. The Chief Information Officer role is primarily focused on technology infrastructure, system architecture, and the delivery of IT services that support business operations. The Chief Information Security Officer role is focused on protecting information assets from unauthorised access, breaches, and misuse. These roles increasingly overlap, particularly as AI adoption blurs the boundaries between data, technology, and security governance, and many organisations have created combined roles such as Chief Data and AI Officer to reflect that convergence.

What skills do CDO thought leaders say the role requires? The practitioners on this list consistently point to five capabilities as defining effective CDO leadership: business acumen that allows data leaders to frame data investments in commercial terms; communication skills that allow them to translate between data and business languages; governance expertise that can make compliance an enabler rather than a restriction; the ability to build and lead diverse, high-performing teams under resource and political constraints; and strategic patience to invest in foundations that pay off over a longer horizon than most organisations are comfortable with. Randy Bean's writing and the Deloitte CDAO Survey both reflect the consensus that CDOs who lack the business acumen to demonstrate commercial value are the ones whose mandates erode fastest.

How has AI changed the CDO role? The arrival of production-scale AI has placed the CDO role at the centre of enterprise strategy in a way that was not the case five years ago. The Deloitte 2026 CDAO Survey found that 78 per cent of CDAOs say AI has led them to have more power as decision makers, and 65 per cent believe AI adoption has made their role more critical. The mechanism is clear: AI systems are only as reliable as the data that trains and governs them, which means that the CDO's traditional responsibility for data quality and governance has become the foundational constraint on whether AI delivers commercial value or creates risk. Ranil Boteju's work at Lloyds Banking Group, where the team delivered more than 50 generative AI initiatives that measurably improved the bank's AI standing, reflects what the CDO role looks like when it is properly positioned to enable AI deployment at scale.

Where can I find more thought leaders in data and analytics? This list focuses on the CDO role specifically. For the broader data and analytics thought leadership landscape, check out the complete list of 50 Best Thought Leaders in Data and Analytics (2026) at consultclarity.org/post/50-best-thought-leaders-in-data-and-analytics-2026.

Final Thoughts

The 48 people on this list represent a field that has done something genuinely difficult: it has built a new C-suite role from scratch, codified its practice into books and frameworks, established professional communities that sustain its development, and navigated the near-constant disruption of a technology landscape that has redefined what data leadership means every two or three years. The CDO community is not large. It is, in some respects, still finding its own identity within the broader C-suite. But the depth of thought leadership it has generated in the past decade, from Randy Bean's longitudinal research on data-driven culture to Caroline Carruthers and Peter Jackson's practitioner playbooks to Sol Rashidi's first-person account of what enterprise AI deployment actually requires, is a genuine intellectual contribution that organisations ignore at real cost.

The conversation these leaders are advancing is not primarily about technology. It is about how organisations make decisions, how they build trust in data, how they govern complexity responsibly, and how they develop the human capability to translate analytical insight into action. Those are questions that belong equally to the leadership team dynamics that Jonno White works with every day.

If your leadership team needs to get better at the human side of data-driven transformation, including how they communicate, how they make decisions together, and how they hold each other accountable, book Jonno White to facilitate a session or keynote for your next leadership event. Email jonno@consultclarity.org.

About the Author

Jonno White is a Certified Working Genius Facilitator, author of Step Up or Step Out, and leadership consultant who has worked with schools, corporates, and nonprofits around the world. His book Step Up or Step Out has sold over 10,000 copies globally, and his podcast The Leadership Conversations has featured 230+ episodes reaching listeners in 150+ countries. Jonno founded The 7 Questions Movement with 6,000+ participating leaders and achieved a 93.75% satisfaction rating for his Working Genius masterclass at the ASBA 2025 National Conference. Based in Brisbane, Australia, Jonno works globally and regularly travels for speaking and facilitation engagements. Organisations consistently find that international travel is far more affordable than expected.

To book Jonno for your next keynote, workshop, or facilitation session, email jonno@consultclarity.org.

Sources

Deloitte. 2026 Chief Data and Analytics Officer Survey, "Today's AI Trailblazers: The CDAO's Emerging Influence and Challenges." March 3, 2026.

IBM Institute for Business Value. 2025 CDO Study: Chief Data Officers Redefine Strategies as AI Ambitions Outpace Readiness. November 2025.

Deloitte UK. Chief Data Officer Survey 2025. Deloitte Risk Advisory, 2025.

Next Read

The CDO role does not operate in isolation. It sits within a broader technology and data leadership ecosystem that shapes how data functions are resourced, positioned, and supported. For a wider view of the technology thought leaders influencing that ecosystem, check out my blog post '50 Best Thought Leaders in Technology (2026)' at consultclarity.org/post/50-best-thought-leaders-in-technology-2026.