Basavaraj Shepur Hanumantappa

Senior Product Manager / Product Owner

basavaraj.shepur@gmail.com
07405198220 · London, United Kingdom
linkedin.com/in/basavarajshepur
github.com/basavarajshepur-lab
ILR holder (Indefinite Leave to Remain)

Summary

19 years total in financial services and IT, 14+ years as Product Manager / Product Owner building and scaling data and AI-enabled products. Shipped Generative AI in production in a regulated banking environment (Deutsche Bank). Delivered AI-driven workforce transformation in institutional financial content: scaled a 208-person specialist function to a team of 10 by automating content processing across 60+ language pairs at 90%+ accuracy (LSEG/Refinitiv). Deep domain expertise across retail banking, wealth management, asset management, capital markets, and corporate banking.

Certifications

  • Certified AI-Empowered SAFe® Product Owner / Product Manager
  • Certified Business Analysis Professional (CBAP®)

Experience

Senior Product Owner — Chief Data Office

Jul 2021 — Apr 2026

Deutsche Bank · London · via HCLTech

Led end-to-end data product strategy for Deutsche Bank's Enterprise Data Platform across six global divisions: Risk, Finance, Treasury, Corporate Bank, Private Bank, and CDO. Responsible for product vision, roadmap, backlog, and adoption across a programme migrating on-premise data infrastructure to GCP at enterprise scale.

  • Shipped GenAI in a regulated banking environment: LLM-based metadata enrichment (auto-generating data descriptions, tags, and classifications from technical schemas), ML-based data quality anomaly detection, and business rules automation deployed at enterprise scale via Vertex AI.
  • Built responsible AI framework for production deployment: explainability controls for regulatory review, full auditability chain from input to output, human-in-the-loop approval gates for high-risk data decisions, and model drift monitoring. Embedded AI governance into definition of done for all model-touching features.
  • Championed AI-first delivery practices: coached product and engineering teams on AI-assisted development tooling and responsible AI principles.
  • Led on-premise to GCP cloud migration: enterprise data platform rebuilt on BigQuery, Dataplex, and Cloud Composer. Delivered cloud-native cataloguing, lineage, and stewardship at scale.
  • Delivered BCBS 239 and GDPR compliance programmes: centralised data standards and automated regulatory reporting pipelines achieving 90% accuracy on critical regulatory submissions globally.
  • Cut manual regulatory processes by 80% via API-led workflow automation. Grew active platform users 70%. Reduced workflow completion time 80%. Held customer satisfaction at 8/10 across six client divisions.

Product Owner — AI-Powered Data Platform (Refinitiv Eikon)

Jun 2019 — Jul 2021

London Stock Exchange Group / Refinitiv · London · via Mphasis UK Ltd

Owned Refinitiv Eikon's institutional market data and analytics platform on AWS, serving 1,000+ asset managers, brokers, and financial intermediaries across 35+ global markets. Eikon is the front-office research and market data tool competing directly with Bloomberg Terminal.

  • Delivered flagship AI transformation: scaled content operations from 208 manual specialists to a team of 10 overseeing a fully automated pipeline at 90%+ accuracy across 60+ language pairs.
  • Built ML/NLP content extraction pipeline processing 250+ structured and unstructured attributes automatically from raw market feeds at volume.
  • Defined and delivered the Refinitiv Data Platform: automated ingestion from 35+ markets, API-first delivery, cross-asset coverage (Fixed Income, Derivatives, Commodities, ETFs, ESG, Fundamentals). Productivity up 30%, client support cases down 45%, delivery cycles improved 50%.
  • Integrated AML risk data (Worldcheck) and entity verification (VEDaaS) into institutional workflows for KYC and counterparty screening — B2B product with embedded compliance utility.

Product Owner — Asset Management

Jul 2015 — Jun 2019

JPMorgan Chase Asset Management · Glasgow / London · via Mphasis UK Ltd

Embedded in JPMorgan's Asset Management front-office, delivering investment data and portfolio compliance products for 1,500+ wealth advisors and 10,000+ clients across 8 legal entities. Worked directly with portfolio managers, investment teams, compliance, and operations across all major asset classes.

  • Built Portfolio Suitability within the investment workflow: automated suitability scoring for Mutual Funds, ETFs, Fixed Income, Structured Products, Private Equity, and Hedge Funds. Deep engagement with portfolio managers to translate investment strategy constraints, risk attributes, and compliance mandates into system-enforced rules.
  • Delivered Front Office to Middle Office Target Operating Model: real-time integration connecting investment product data, portfolio compliance, account management, and client onboarding across 8 legal entities.
  • Led Brexit legal entity migration (UK to Luxembourg): translated FCA/PRA regulatory requirements into product specifications, managed business testing across all investment and compliance data features, delivered to a hard regulatory deadline with zero disruption to 1,500+ advisors and 10,000+ clients.

Product Owner / Senior Business Analyst — Retail Banking

Oct 2014 — Jul 2015

JPMorgan Chase (Chase.com) · India · via Mphasis UK Ltd

Digital transformation of Chase retail banking: card scheme integration, rewards programme, responsive design.

Senior Business Analyst / Product Owner

2005 — 2014

Barclays (via Accenture), JPMorgan Chase, First American Corporation, AT&T · India

Mortgage lending and corporate banking at Barclays, retail banking at JPMorgan Chase, title insurance at First American Corporation, and telecoms at AT&T. Built the BA and product foundations across regulated industries.

Open Source AI Work Products

github.com/basavarajshepur-lab — six production-grade AI agents, built and published independently, all importing one shared responsible-AI controls library (ConfidenceGate, AuditChain, HITLQueue, DriftMonitor, ExplainabilityWrapper).

  • model-risk-copilot: SR 11-7 / SS1/23 model validation — documentation analysis, compliance-gap scoring, auto-drafted validation reports.
  • kyc-aml-intelligence-agent & aml-copilot: entity screening, adverse-media triage, and SAR narrative drafting with a confidence gate before anything reaches a human reviewer.
  • kpi-integrity-agent: anomaly detection that checks the data quality behind a KPI spike before trusting the signal, not just whether the number moved.
  • Data-Intelligence-Platform-multiagent: metadata, lineage (sqlglot, 20+ SQL dialects), and DAMA-DMBOK data quality scoring — the pattern every agent above is built from.
  • responsible-ai-finserv: the shared controls library every repo above imports.

Key Skills

AI Product

Generative AI (LLMs) · Agentic AI · ML/NLP · Responsible AI · Explainability · Model Risk Management · AI Governance · Human-in-the-Loop Design · AI-Assisted Delivery

Financial Services Domain

Retail Banking · Corporate Banking · Wealth Management · Asset Management · Capital Markets · Investment Banking · KYC/AML · Cross-Border Compliance · BCBS 239 · GDPR · Regulatory Reporting

Product Delivery

Discovery through Delivery · Rapid Experimentation · Prototyping · Value Proposition Design · Commercialisation Models · Roadmaps

Data Platforms

GCP (BigQuery, Dataplex, Vertex AI, Cloud Composer) · AWS · Data Governance · Data Catalogs · Metadata Management · Data Lineage · API-first Architecture

Leadership

Multidisciplinary Team Leadership & Mentoring · Executive Stakeholder Management · SAFe (PI Planning) · Agile

Education

MBA in Finance

Ulyanovsk State University

B.E. in Electronics & Communication Engineering

VIT, India