Podcast · Data reliability experience by iceDQ

From Policy to Proof: Engineering Data Governance into the Data Lifecycle

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In this episode of the Data Reliability Experience, we are joined by Frances Stoor, data governance and technology leader with 20+ years of experience, and Subu Dasaraju, Chief Commercial Officer at iceDQ, for a deep dive into what it actually takes to move data governance from a policy document to a continuously provable, engineered reality.

Drawing from Frances's background spanning software development, enterprise architecture, and modern data and AI governance across HR, finance, legal, and operations, and Subu's work helping enterprises build genuine trust in their data, the discussion explores why governance can't just live in a knowledge base — it has to be built into the data lifecycle itself.

Mendy Becker
Frances Stoor
Data Governance and Technology Leader
Shrikant Patil
Subu Dasaraju
Chief Commercial Officer, iceDQ

Key Topics Covered

  1. Why "governance as a policy" and "governance as a provable, engineered reality" are two very different things
  2. How the cake analogy explains why checking the recipe matters more than scoring the finished product
  3. What changes when governance is designed in at the start of a pipeline instead of applied after the fact
  4. Why data contracts work like APIs — and how they let organizations scale governance across teams
  5. The real dollar cost of data defect remediation, and why a $1 fix at source becomes a $100 fix in production
  6. What enterprises can learn from Toyota's quality revolution and applying checks at every stage of the data "assembly line"
  7. Why quarterly audits are a measurement problem wearing a governance costume
  8. How AI as a new class of "data consumer" breaks the traditional governance playbook
  9. Why reliability for AI needs to be a continuous, always-on operating discipline — not a point-in-time check

About the Guest – Frances Stoor

Mindy Becker

Frances Stoor is a data governance and technology leader with more than 20 years of experience spanning software development, enterprise architecture, and modern data management. She has led enterprise data and AI governance programs across complex organizational environments, empowering teams in HR, finance, legal, operations, and delivery to own and manage their data with clarity and accountability. Frances is a certified Applied Data Governance Practitioner and a Certified Data Management Professional, known for translating complex technical concepts into strategies that bring executives, data leaders, and engineering teams into the same room.

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