SIGNAL//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.
With members representing
Built for leaders who transform business through data and intelligence
For Chief Data & AI Officers and Senior Executives
The SIGNAL 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 SIGNAL 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 SIGNAL 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.
Meet where the conversation gets better.
Choose the room that fits the work in front of you. Every format is built for a different kind of useful exchange.

THE DEEP DIVE
AI & Data Forums
Best for: Zooming out on the next enterprise move with peers who share the stakes.
A question you might hear
“What are leaders changing right now—and why?”
Guided by Our Executive Council
Leading data and AI executives shaping the future of intelligent organizations

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.

Anup Palvia
Director of Business Insights & Analytics | Cooper University Health Care
Anup Palvia is Director of Business Insights & Analytics at Cooper University Health Care, where he leads enterprise analytics strategy, governance, and initiatives focused on improving data-driven decision-making across the organization. Previously, he oversaw analytics supporting value-based care programs at Signify Health and co-founded a publisher-facing analytics consulting practice at Google.
He holds an MBA from the University of Chicago Booth School of Business and a degree in engineering from Cornell University.
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Chidroop Madhavarapu
Vice President, Data | Point
Chidroop Madhavarapu serves as Vice President of Data at Point, leading data strategy and analytics. 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.

Gopal Renganathan
Gopal is a transformational AI, Data and Technology Executive with 20+ years leading enterprise-scale transformation across Real Estate, SaaS, and Global Technology (Cisco, Dell-EMC, Tibco), including as a startup founder. Modernizing cloud data platforms, governance, and AI enablement and operating models to unlock Billions in revenue impact for large and small enterprises has been the focus for Gopal.

Manoj Hemanth
Former Head of Data Analytics | Wiser Solutions
Manoj is a global Data, Analytics and AI transformation leader with extensive experience driving enterprise AI adoption, decision intelligence and analytics modernization across complex, fast-moving organizations. As Head of Data Analytics at Wiser Solutions, he leads enterprise AI strategy and analytics transformation, enabling organizations to move beyond traditional reporting toward intelligent, AI-driven decision-making at enterprise scale.
With a career spanning enterprise SaaS, retail intelligence and fintech, including prior experience at Capital One, Manoj brings a rare blend of AI strategy, platform thinking and executive business acumen.

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.

Paul Aasmundstad
Data Governance | Ryan Specialty
Paul Aasmundstad leads Data Governance at Ryan Specialty, where he focuses on building the governance and data protection capabilities required for AI-ready enterprises. His perspective is shaped by nearly 30 years of cross-industry leadership experience spanning financial services, insurance, manufacturing, and transportation. He advocates for governance as a strategic capability that enables responsible innovation, reduces risk, and creates measurable business value, with a particular focus on how governance can accelerate trusted AI adoption and how AI can modernize traditional governance practices.
Paul is a contributing author to the EDM Council's "Measure, Manage, Create Value", "Data Office ROI Playbook", and a contributor to Tavro.ai's "AgentBizOps: Agentifying AI Adoption with Enterprise Digital Twin". He has spoken at DAMA, InsurTech and IDMA conferences, where he shares approaches for transforming governance from a compliance obligation into a measurable driver of risk reduction, innovation, and business value.

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.

Prakash Reddy
Senior Director of Data and Platform Engineering | Okta
Prakash is the Senior Director of Data and Platform Engineering at Okta, driving enterprise data strategy and platform modernization. Prakash brings deep expertise in modernizing data platforms, working with multi-modal data, and building high-quality data products that empower businesses to make decisions with precision and scale.
Prakash is a recognized thought leader who sits on several executive technology councils, advisory boards, delivers keynote speeches, and contributes to the local Austin, TX community of AI and Data, partnering with local Collectives/Organizations to organize Hackathons, Workshops, tech-talks, and fireside chats. Prakash is a recent recipient of the "40 under 40" Business Elite Awards 2026, recognized due to his contributions to the Data Community.

Shivani Gupta
Head of Data, Analytics & AI | Centric Brands
Shivani Gupta leads Data, Analytics & AI at Centric Brands, where she's driving a data-first transformation modernizing the enterprise data platform, operationalizing AI, and unlocking a new generation of insights across the business.
With more than two decades of experience spanning finance, retail, and entertainment, Shivani works at the intersection of AI, cloud, and analytics. She's known for pairing strategic vision with deep technical fluency to build scalable solutions that accelerate business growth.

Thiago Roque
Director of Data & Technology | Slalom
Thiago Roque is a technology and consulting executive with nearly 30 years of experience leading data, AI, analytics, cloud, and digital transformation initiatives. He has delivered more than 170 programs and led global teams of over 600 professionals across the United States, Brazil, Spain, and other countries. As Head of Data & Technology for the West at Slalom, Thiago helps organizations translate complex data and technology investments into measurable business outcomes.
His data expertise spans data strategy, governance, architecture, engineering, master data management, data quality, metadata and catalog management, analytics, business intelligence, and AI enablement, management, and governance. He has guided organizations in building trusted data foundations, modernizing cloud data platforms, improving data accessibility and quality, and establishing governance models that support responsible AI and advanced analytics. His platform experience includes Snowflake, Databricks, Microsoft Azure, AWS, GCP, Anthropic, OpenAI, Reltio, Informatica, Atlan, Anomalo, Power BI, Tableau, and many others. Thiago is recognized for connecting data strategy with business value, helping leaders use governed, high-quality data to improve decision-making, strengthen customer experiences, reduce risk, and accelerate innovation. He holds a Master of Science in Information Systems from the University of Utah and Project Management from the Harvard Business School, and is a frequent speaker and people-focused leader passionate about building high-performing teams and helping organizations become more data-driven.

Vijay Gandra
Global Chief Data Officer | Acrisure
Vijay Gandra is a seasoned data and technology executive with over 20 years of experience at organizations including Yahoo, Stanford, Intuit, and Acrisure. He leads enterprise data strategy, scalable platforms, analytics, and AI-driven product innovation. His approach is anchored in three pillars: strong data governance, intuitive self-service capabilities, and AI-ready data foundations.
Vijay builds high-performing teams and modern data ecosystems that make trusted insights easier to access and act on. He combines technical depth with business leadership to turn data into measurable, enterprise-wide impact.

Zain Haq
Program Lead - Technology Controls, Workflows and Governance | OMERS
Zain is a strategic leader specializing in technology and cybersecurity governance, risk and controls transformation, and enterprise change. With more than 10 years of experience across consulting and financial services, he has advised and partnered with executive stakeholders to strengthen governance and risk management capabilities while leveraging AI and data-driven insights to accelerate transformation.
Currently, he is helping shape the future-state operating model, governance framework, and workflows for OMERS, one of Canada's largest pension plans and institutional investors, as part of its Investment Platform Transformation program.
Council members guide strategic initiatives, shape community direction, and define the future of data and AI leadership.
National Enterprise
AI Forum
Three days of executive intelligence sessions, peer roundtables, and high-trust networking designed for senior data and AI leaders. Join Chief Data Officers, AI executives, and emerging leaders to shape the future of data-driven business.
See Our Last Forum
Your Engagement Roadmap
Strategic touchpoints throughout the year to build connections, share insights, and drive data innovation forward.
National Enterprise AI Forum
Data Forum
Executive Networking Cruise
Executive Networking Tour
More events and locations will be announced throughout the year. Members receive priority access and early registration.
Your Target Accounts Are Already Here
Hand us your strategic account list. We cross-reference it against our community and show you the overlap -- before you commit to anything. Then we put you in the room with them.
Account Mapping
See exactly which of your target accounts are active in our community before you commit to anything.
Curated Access
Meaningful conversations with CDOs and CAIOs who chose to be here. Solution-oriented, not transactional.
Measured Results
Every lead tracked in real time. See who engaged, where they came from, and what happens next.
Tell us which enterprise accounts you're trying to reach. We'll show you the overlap and build the plan together.