GConferenceGridThe Conference Catalogue · Vol. 2026Folio № C60E83
Of the Field

CDAO New York

T

he leading meeting place for New York’s data and analytics community—spotlighting leadership, innovation, and real-world transformation stories.

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25Voices
0Underwriters
0Exhibitors
18On the bill · sessions
25Companies · in total
§I

The Voices

Programmed at CDAO, in alphabetical order.
Aggie Prakash
AI Integration Specialist · MCKINNEY
Ahmed Munir
Principal Enterprise Architect · CHARTER COMMUNICATIONS
Andrew Patricio
Chief Data and AI Officer · UNIDOSUS
Anu Sundaram
Vice President Business Analytics · RUE GUILT GROUPE
Bin Yu
VP of AI & Data · STARBUCKS
Bipin Karunakaran
Vice President, Chief Data & Analytics Officer · ATLANTIC HEALTH
Dino Cataldo Dell'Accio
Deputy Chief Executive · UNITED NATIONS JOINT STAFF PENSION FUND
Drew Smith
Chief Data and Analytics Officer (former) · OHIO HEALTH
Dr. Ram Singh
Chief Performance Media Officer · NIGHT MARKET
Elena Alikhachkina
Chief Data and AI Officer · TE CONNECTIVITY
Goutham Budati
VP of Data Strategy and Insights · THE FARMER’S DOG
Harish Vundavalli
Senior Information Technology Architect · STRATEGIC EDUCATION INC.
Jessica Hogue
Chief Data Officer, Consumer Media · HEARST
Linda Hermer
Chief Data Strategy Officer · AMMON LABS
Lovedeep Saini
Chief Analytics Officer · CONNER STRONG & BUCKELEW
Mitesh Shah
Chief Data Officer · CARDWORKS
Nicholas Aquilino
FVP, Head of Data Analytics and Workflow Automation · APPLE BANK
Nishit Dhilen Mehta
Vice President, Analytics Solutions Manager · JPMORGAN CHASE
Raghuvaran Reddy Kalluri
Solution Architect & Data Owner · ROYAL BANK OF CANADA
Rehgan Bleile
Co-Founder & CEO · ALIGN AI
Richard Martin
Senior Director Strategy & Transformation - Data, Analytics & AI · PEPSICO
Soumya Ghosh
SVP - Head of Data Engineering, Architecture & Analytics · CITY NATIONAL BANK

— and 3 more, by name unsung —

§III

The Programme

Selected from 18 sessions on the bill.
  • 10:00 AM

    KEYNOTE: Is your Enterprise Data Ready to Scale Analytics and AI?

    Identifying the architecture maturity gaps preventing organizations from scaling analytics and AI. Strengthening core capabilities to create reliable and scalable data foundations.…

  • 11:00 AM

    DISCUSSION GROUP: What Makes Data Trustworthy? Data Observability and Reliability Engineering

    This ‘Ask Anything’ session is designed for open exchange — bring your challenges, compare approaches, and leave with practical ideas you can apply immediately. Discussion points: …

    TRACK A: Enterprise Data Strategy
  • 11:00 AM

    PANEL: Designing Enterprise Data Strategy That Delivers Measurable Business Value

    How do CDAOs prioritize enterprise data investments to support business objectives? The importance of aligning data strategy with broader organizational strategy and operational go…

    TRACK B: Executional Excellence
  • 11:45 AM

    ROUNDTABLE A: Can I Trust My Data? Implementing Trust Frameworks Across Regulated Industries

    Governance and accountability frameworks that improve enterprise data trust. Practical approaches for measuring and maintaining data quality at scale. Embedding trust mechanisms in…

    TRACK A: Enterprise Data Strategy
  • 11:45 AM

    ROUNDTABLE B: Who Decides? Establishing Clear Decision Authority Across the AI Lifecycle

    Defining decision ownership across data, AI, and business teams. Governance structures that clarify accountability without slowing innovation. Aligning leadership roles to support …

    TRACK A: Enterprise Data Strategy
  • 11:45 AM

    ROUNDTABLE C: The Executive Playbook for Building an Intelligent AI Program

    How structured refinement & approval processes unlock insights across AI initiatives. Turning fragmented AI efforts into a connected system of reference. Using program-level intell…

    TRACK B: Executional Excellence
  • 1:30 PM

    CASE STUDY: From Data Pipelines to Trusted AI — Building ISO-Aligned Foundations for Auditable AI Systems

    Why AI trust begins at the data pipeline level — not at the model. How to design data flows that are traceable, auditable, and aligned with emerging global standards. The role of m…

    TRACK A: Enterprise Data Strategy
  • 1:30 PM

    PANEL: Speaking the Board’s Language — Turning Data into Executive Decisions

    How can leaders translate data and AI outcomes into business metrics that resonate with the board? What storytelling frameworks help communicate the strategic value of data investm…

    TRACK B: Executional Excellence
  • 2:05 PM

    TRACK KEYNOTE: Rethinking the Enterprise Data Operating Model

    What operating model best supports scalable enterprise data and analytics delivery? How should organizations define ownership across data products, engineering, analytics, and busi…

    TRACK B: Executional Excellence
Intermission
Part the Second · For the Buyer

An audience of 25 companies, parsed from the program.

25 companies in attendance.

The numbers below are derived from the speakers, sponsors, and exhibitors on this page — cross-referenced into one ledger. They are the only thing here that 10times.com cannot tell you.

01Fig. 01 — Composition of the House
0All threespeak · spons · exh
0Sponsoringsponsor only
0Exhibitingexhibitor only
25Speakingspeaker only
02Fig. 02 — The Voices, by Seniority

84% of the speakers carry senior titles — C-suite, Founder, VP, or Director-level.

  • C-suite1144%
  • Founder / Owner14%
  • VP-level520%
  • Director / Head of416%
  • Manager / Lead28%
  • Engineer · IC28%

Of 25 on the bill · classified by free-text title

03Fig. 03 — The Heaviest in the Room
  1. 01ALIGN AI1V
  2. 02AMMON LABS1V
  3. 03APPLE BANK1V
  4. 04ATLANTIC HEALTH1V
  5. 05BLUE CROSS BLUE SHIELD OF MASSACHUSETTS1V
  6. 06BOEHRINGER INGELHEIM1V
  7. 07CARDWORKS1V
  8. 08CHARTER COMMUNICATIONS1V
  9. 09CITY NATIONAL BANK1V
  10. 10CONNER STRONG & BUCKELEW1V
  11. 11HEARST1V
  12. 12JPMORGAN CHASE1V
  13. 13KENVUE1V
  14. 14MCKINNEY1V
04Fig. 04 — By Tier

Tiers were not disclosed for this convocation.