CDAIO//DIVISION
Decoding the future of Data and AI.
A peer-to-peer ecosystem where executives, their teams, and solution providers converge to build the intelligent future.
WHO WE SERVE
Built for leaders who transform business through data and intelligence
For Chief Data & AI Officers and Senior Executives
The CDAIO Division exists to unite enterprise leaders who are shaping the future of business through data and intelligence. Our mission is to elevate the role of the Chief Data & AI Officer as a strategic leader who drives measurable outcomes across people, process, and technology.
We bring together executives who lead with impact—those transforming how organizations think about data culture, decision-making, and responsible AI adoption. Through peer-to-peer collaboration, the community defines what successful execution looks like in the real world, far beyond theory or consulting slides.
The CDAIO Division is a trusted space for senior data and AI leaders to exchange insights, sharpen strategy, and strengthen influence at the enterprise table.
For Emerging Directors and VPs of Data, Analytics, and AI
The CDAIO Division empowers the next generation of data and AI leaders to think and operate at the enterprise level. Members learn directly from those who have built high-performing data cultures and implemented AI strategies that create measurable business value.
This community helps emerging leaders accelerate their path to the executive table by developing the leadership, communication, and strategic influence required to translate analytics and AI into business growth.
Here, rising data and AI professionals gain the peer network, practical knowledge, and confidence to lead transformation within their organizations.
Enterprise Leadership. Real-World Execution. Measurable Impact.
MEMBER BENEFITS
INTELLIGENCE THAT MATTERS
Exclusive research and analysis delivered to members each quarter — transforming collective data leadership experience into strategic advantage.
CONTENT DESIGNED FOR CDOs, CAIOs, AND DATA EXECUTIVES
STRATEGIC INSIGHTS
Quarterly Data Intelligence Briefings
Strategic analysis, data investment benchmarks, AI adoption patterns, and governance frameworks sourced directly from peer experiences across industries.
Annual Data Leadership Report
Comprehensive analysis featuring data strategy priorities, AI investment allocations, governance maturity models, and transformation roadmaps from leading data-driven organizations.
Your Strategic Edge
Data Foresight
Navigate emerging data and AI trends with confidence and precision
Decision Validation
Compare your data initiatives against peer benchmarks and industry leaders
Executive Perspectives
Learn from data leaders navigating similar transformation journeys
Guided by Our
Executive Council
Leading data and AI executives shaping the future of intelligent organizations
Actively Growing Our Council
Abhishek Mittal
Chief Product & AI Officer | AML RightSource
Abhishek Mittal is the Chief Product & AI Officer at AML RightSource, where he spearheads product innovation and AI-enabled transformation for global compliance services. With over 20 years of experience in financial services and legal technology, he specializes in commercializing scalable AI solutions that drive recurring revenue, EBITDA expansion, and operational efficiency.
Previously, as a VP at Wolters Kluwer, Abhishek managed a $1B+ portfolio and launched award-winning AI products—securing multiple patents along the way. A recognized thought leader, he combines deep domain expertise with cutting-edge machine learning strategies to transform legacy operations into data-driven centers of excellence.
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Chidroop Madhavarapu
Sr. Director, Data Science | Atlassian
Chidroop Madhavarapu leads Data Science at Atlassian, playing a key role in leveraging data and insights in major business initiatives. With almost two decades of experience in software engineering, data science, predictive modelling, and analytics, he has a strong track record of translating data into transformative business strategies.
Chid has extensive experience helping enterprise companies and multinational businesses reimagine workflows, leveraging data-driven insights to enhance efficiency and drive innovation. He holds a Bachelors and Masters in Computer Science.
Dartanion Williams
Chief Data Officer and Chief Performance Officer | Baltimore City
Dartanion Williams is a passionate public servant, currently serving in a dual capacity as Chief Data Officer and Chief Performance Officer for Baltimore City. He brings experience across local government, nonprofits, big tech, and startups, leading data, technology, and operations initiatives that increase efficiency, modernize services, and deliver better experiences. His work has included reforms in areas such as student information management, special education transportation, emergency medical services, and city services like 311 and permitting.
Dartanion has taught in data analytics programs across the nation, most notably at The George Washington University. He is deeply committed to building strong teams and using data, design, and technology to make government simpler, more transparent, and more responsive for residents.
Michael Baker
Global Head of Consumer Data Science, Advanced Analytics & AI | NielsenIQ
Michael Baker is the Global Head of Consumer Data Science, Advanced Analytics & AI at NielsenIQ, overseeing consumer measurement data strategy and AI innovation across 25 countries. His team designs and modernizes data science solutions that power insights for the world's largest consumer goods companies. With over two decades of leadership experience, Michael has guided organizations through digital transformation and scaled AI adoption, including senior roles at Chamberlain Group and Nielsen. He is also the founder of Navigar Partners, a consulting firm specializing in data and AI strategy.
Michael has served as an adjunct professor of statistics at Benedictine University and visiting professor of economics at Knox College, holding advanced degrees in economics from Roosevelt University and Knox College.
Patrick Chew
Global Head of Data Enablement | AIT Logistics
Patrick is the Global Head of Data Enablement at AIT Logistics, a worldwide logistics company with operations across the USA, Asia, and Europe. He brings over 25 years of experience leading data strategy and enablement initiatives at Fortune 500 organizations including American Medical Association, Kellogg, and Caterpillar, as well as consulting engagements at EY and Slalom across multiple industries. Patrick drives enterprise data strategy through four key portfolios: Data Governance, AI & Data Science, Business Intelligence & Analytics, and Organizational Change Management.
A recognized thought leader, he frequently delivers keynote speeches and serves on advisory boards for CDO Magazine, Gartner's CDO/CDAIO, and Consero, and was recently named a Top 25 Chicago Data Leader.
Piyush Singhal
Head of Enterprise Data and AI | Surgery Partners, Inc.
Piyush has extensive strategic, architectural and delivery experience leading Enterprise level Data & AI teams. Fortunate to serve as a leader in NYC for large corporates such as JNJ, American Express, NBC Universal, Pernod Ricard, and most recently as Head of Enterprise Data Engineering, Platform and Architecture at Petco where he led e2e healthcare data initiatives.
Known in the industry to consistently deliver excellent results leading cross-functional projects partnering closely with leaders from IT, Analytics, Operations, Sales, Marketing, FP&A, Research, Legal etc.
Council members guide strategic initiatives, shape community direction, and define the future of data and AI leadership.
CDAIO
Division Forum
Join data and AI leaders for three days of strategic discussions, peer collaboration, and real-world insights on building intelligent enterprises. This forum brings together Chief Data Officers, AI executives, and emerging leaders to shape the future of data-driven business.
Learn More & Register
THE ECOSYSTEM
DATA LABS
Intimate roundtables where CDOs and CAIOs share strategies, challenges, and breakthrough approaches to data and AI governance.
INTELLIGENCE CIRCLES
Regional gatherings focused on specific data challenges—from AI ethics to data monetization. Shape future forum agendas and connect with ecosystem members.
DATA FORUMS
The premier gathering format. Two days of transformative content, strategic insights, and peer collaboration that will redefine your data leadership approach.
YOUR ENGAGEMENT ROADMAP
Strategic touchpoints throughout the year to build connections, share insights, and drive data innovation forward.
Community Activation
Data Forum
Data Labs
Data Labs
More events and locations will be announced throughout the year. Members receive priority access and early registration.
Solution Providers, Without the Noise
We partner with solution providers who solve real data and AI challenges with proven results
Curated Partnerships
Carefully selected partners ensure data leaders can engage authentically without vendor overload
Value Alignment
Every partner presence is strategically aligned to discussions and delivers genuine value
Our Philosophy
If you solve real data challenges and can demonstrate impact, you belong.
If you need a booth and a pitch deck, you don't.
Partner Benefits
Direct Access
Meaningful conversations with CDOs and CAIOs actively seeking solutions
Targeted Engagement
Aligned to specific data and AI challenges that drive decisions
Trusted Environment
Build lasting relationships, not transactional exchanges
Interested in becoming a strategic partner? Let's discuss how we can create value together.