Paris, FranceAvailable for consulting

Data Governance Consultant

Sini Suresh.

I help organizations turn data into a trusted, well-governed asset.

I bring structure to complex data environments—connecting quality, ownership and compliance to the decisions that create business value.

Sini Suresh, Data Governance Consultant
Data governance · Paris
Data qualityClear ownershipTrustworthy AI
01About

Data governance that earns trust—and keeps it.

I am a Data & AI Governance professional with more than eight years across data, analytics and technology, including three years focused on building enterprise data governance capabilities from the ground up.

My experience spans digital experience analytics, banking, retail, automotive and technology services across France, the Middle East and India.

I believe data governance is a lever for value—not a defensive documentation exercise. I translate technical issues into clear business choices, helping leaders prioritize investment while enabling teams to work with data confidently.

Today, I am extending that foundation toward Generative AI and agentic-system data governance, from data contracts and policy automation to EU AI Act readiness.

“Data governance should make better decisions possible—not create another layer of process.”

At a glance

8+years across data & technology
4international organizations
20+data governance workshops delivered
M2Data and Artificial Intelligence, Télécom Paris
Framework fluencyDAMA-DMBOKGDPREU AI Act
02Expertise

From policy to practical adoption.

Data governance capabilities designed to connect control, clarity and measurable value.

01

Data Governance Frameworks & Operating Models

Practical roadmaps, maturity assessments, policies and decision rights built around business priorities.

02

Data Quality Management

Controls, observability and remediation models that make critical data dependable at scale.

03

Metadata Management & Data Catalogs

Findable definitions, glossaries and ownership that turn metadata into a working organizational asset.

04

Data Lineage

Clear traceability across systems, transformations and business processes for faster, safer change.

05

Master & Reference Data

Shared definitions and authoritative records that reduce reconciliation and improve decision quality.

06

Regulatory Compliance

Data governance aligned to GDPR and the EU AI Act without losing sight of usability.

07

Stewardship & Ownership Programs

Accountable networks with roles, routines and escalation paths that work beyond the launch.

08

Data Literacy & Change

Hands-on enablement that helps business and technical teams adopt data governance in daily work.

Tools & frameworks
DAMA-DMBOKDCAMAtlanMonte CarlodbtTableauSalesforceJira
03Selected work

Complex data problems, made actionable.

A selection of data governance initiatives grounded in real delivery experience.

04Experience

Built across sectors and borders.

2023 — 2026

Contentsquare · Paris, France

Data Governance Specialist

  • Owned enterprise observability and MDM, and collaborated in the roll out of Atlan data catalog.
  • Scaled dbt test coverage to 80% on business-critical assets.
  • Delivered maturity assessments, a business-aligned roadmap and 20+ enablement workshops.
2022

Société Générale · Paris, France

Data Science Intern

  • Designed a research data catalog architecture from the ground up.
  • Built a BERT-based prototype for automated contract classification and metadata enrichment.
2017 — 2020

Al-Futtaim Group · Dubai, UAE

Data Consultant

  • Led profiling and root-cause analysis across supply chain and service operations.
  • Built self-service Tableau reporting from governed SAP MM/SD data for leadership.
2014 — 2017

Cognizant Technology Solutions · Bangalore, India

Programmer Analyst

  • Developed automation proofs of concept across multi-geography delivery programs.
  • Worked across cross-functional Waterfall and Agile environments.
05Credentials

Learning that keeps pace with change.

Certification

Data Strategy: AI-Driven Competitive Advantage

UC Berkeley Executive EducationJun — Aug 2026

Master’s degree

M2 — Data and Artificial Intelligence

Télécom Paris2020 — 2022

Bachelor’s degree

B.Tech — Information Technology

CUSAT, India2010 — 2014
06Insights

Notes on trust, value and change.

Why data governance fails—and how to fix it

Most data governance programs don't fail for lack of a framework. They fail because nothing about how people work actually changes.

Data governance for AI readiness

The quality of an AI system is capped by the quality of what it learns from and acts on. Getting AI-ready starts with getting your data house in order.

Building a data stewardship network that lasts

A stewardship network succeeds when the role is clear, supported and connected to decisions people already own.

Start a conversation

Let’s make your data easier to trust.

Have a data governance challenge, transformation program or AI-readiness question? I’d be glad to hear about it.