AI & Data Product Manager

Pankaj
Kumar

Pune, India · 12+ years · Banking & Financial Services

I sit at the intersection of data governance, AI/ML product thinking, and financial systems. With over a decade building data pipelines, managing regulatory data programmes, and leading cross-functional teams at Citi and Wells Fargo, I'm now channelling that depth into building intelligent, AI-native data products. Currently pursuing a PG in AI & ML (Great Learning) to sharpen the technical edge behind my product intuition.

AI Product Management Data Products Data Governance LLMs & GenAI ETL & Pipelines Regulatory Compliance
/work
Vice President – Data Product & Governance Nov 2021 – present
Citi
VP · Team Lead Data Product Data Governance AI-Adjacent
  • Defined and drove data product vision across the Data Operating Model — acting as product owner for data quality, lineage, and remediation workflows used by multiple business lines.
  • Managed resolution of high-severity regulatory data defects (MRIA, MRAs) covering $10B in exposure, coordinating across technology, risk, and business stakeholders.
  • Spearheaded Data Quality Control Assessments (DQCA) end-to-end — from gap discovery to control implementation — functioning as both PM and domain SME.
  • Drove adoption of Collibra and Solidatus for lineage and metadata management across Critical Data Elements, improving data discoverability and regulatory traceability.
  • Facilitated cross-functional squads spanning business, tech, risk and control — translating complex data issues into actionable roadmaps.
Data Management Consultant Dec 2019 – Nov 2021
Wells Fargo
Team Lead Metadata Data Quality
  • Built and maintained Data Dictionaries and DQ rules for the DPTM domain (Deposit, Payments & Treasury Management), serving as product owner for the metadata catalogue.
  • Developed internal tooling to automate metadata validation — reducing manual effort and improving consistency across DQ assessment templates.
  • Assessed applications for auto-harvesting eligibility via the Enterprise Metadata Hub (EMH), shaping data product strategy across the LOB.
Developer → Team Lead → Business System Consultant Jul 2013 – Nov 2019
Wells Fargo — Volcker Metrics System
BSC · Lead ETL Regulatory
  • Grew from developer to BSC on a system underpinning Volcker Rule quantitative metrics reporting — defining requirements, shaping ETL architecture, and owning stakeholder alignment.
  • Led a 9–10 person cross-geography team (US + India) through full SDLC: design, build, QA, and L3 production support.
  • Managed Unix-to-Linux migration, SLA/OLA definition, and incident management — reducing delivery risk and improving system reliability.
/projects
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Project 2
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/writing
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/skills
AI / ML
ML Fundamentals, GenAI, LLMs, Prompt Engineering (learning)
Product
Roadmapping, Stakeholder Mgmt, Requirements, SDLC
Data Governance
Collibra, Solidatus, Data Lineage, CDEs, DQCA
ETL
Ab Initio, Ab Initio DQE, Express-IT
Databases
Teradata, SQL
Languages
SQL, Python, Unix Shell Scripting
Tooling
Autosys, MicroStrategy, JIRA, HP ALM
Domain
Banking & Financial Services, Regulatory Compliance
/education
In Progress · 2024 – 2025
PG Program in Artificial Intelligence & Machine Learning
Great Learning · Great Lakes Institute of Management
Completed · 2013
B.Tech – Electronics & Communication Engineering
Sikkim Manipal Institute of Technology · CGPA 7.7/10
/certifications
/reading
Now reading
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/recognition