19 years total in financial services and IT, 14+ years as Product Manager / Product Owner. Most recently a Senior Product Owner at Deutsche Bank's Chief Data Office, where I ran end-to-end product strategy for the enterprise data platform through April 2026. Before this, I built cloud-native content platforms at the London Stock Exchange Group and led compliance and capital markets products at JPMorgan Chase. Now open to the next Senior / Lead PM role.
I started in financial services as a business analyst, learning the discipline that still anchors my product work today: understand the business outcome before you reach for a solution. The technology will date. The outcome won't.
19 years total in financial services and IT — 14+ of them as a Product Manager / Product Owner across three of the most consequential institutions in the City: Deutsche Bank, the London Stock Exchange Group, and JPMorgan Chase. Different mandates, but a common thread: in regulated finance, you don't get to choose between the old thing and the new thing. The legacy system is still running the books, and the regulator is still asking for the report on Monday.
That reality shaped my product instinct. I learned early that strategy is not the same as ambition. A senior PM in a bank is judged on whether they can navigate scale, sequencing and political risk — not on the slide that says "modernise everything by Q4". The work I'm proudest of has always been the work that delivered measurable value without setting off the audit trail.
Most recently, at Deutsche Bank, I ran the data platform product across six global divisions — building the GCP architecture that replaced our on-premise estate, while keeping the existing platform stable enough to serve regulators. Both roadmaps lived in the same backlog. That contract closed in April 2026, and I'm now looking for the next chapter at the same level of scale, complexity, and consequence — ideally with a permanent seat and a team of my own.
github.com/basavarajshepur-lab
Between roles, shipping the same "controls by design" pattern as working code: model risk validation, KYC/AML screening, data quality anomaly detection, and the responsible-AI controls library underneath all of them. See case study 05.
Deutsche Bank · London · via HCLTech
End-to-end strategy, roadmap and lifecycle for the bank's enterprise data platform. Ran parallel transformation programmes — legacy on-premise data architecture and a modern GCP build — across six divisions: CDO, Risk, Finance, Treasury, Corporate Bank, and Private Bank. Embedded BCBS 239 and GDPR controls into the platform itself, and shipped Generative AI to cut manual stewardship effort by 80%. Line managed 6 direct reports (3 POs, 3 BAs).
London Stock Exchange Group / Refinitiv · London · via Mphasis UK Ltd
Defined and delivered a cloud-native content and market data platform on AWS for 1,000+ institutional users across 35+ markets. Led discovery across 260+ tools to define platform strategy and prioritised backlog. Built an ML/NLP content extraction pipeline pulling 250+ attributes from raw feeds across 60+ language pairs, scaling content operations from 208 manual specialists to 10.
JPMorgan Chase · Glasgow / London · via Mphasis UK Ltd
Built real-time Portfolio Suitability scoring embedded in the advisor workflow for 1,500+ wealth advisors across 8 legal entities. Delivered the Front Office / Middle Office target operating model for cross-border client onboarding. Led the Brexit legal-entity migration (UK to Luxembourg) to a hard FCA/PRA deadline with zero service disruption.
JPMorgan Chase (Retail), Barclays, First American Corporation, AT&T · India
Built the foundation for the senior product career that followed: digital retail banking at Chase.com, mortgage lending and corporate banking at Barclays, title insurance claims platforms at First American, and telecom billing at AT&T. Understanding how data flows through regulated, high-volume systems — and what a regulator actually needs — started here.
I'm open to Senior / Lead Product Manager and Senior Manager of Product Management roles. Best fit: tier-one banks, established fintechs, regulated infrastructure providers — anywhere a data platform has to scale without breaking what's already audited.