Data Product Manager
Posted 29 Sep 2026
Advertised as “Senior Manager, Data Product Manager”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- People management
No salary listed for this role.
Field of studyBusiness Administration, Computer Science, Economics, Engineering, Information Systems (or related)
Study levelBachelor's
CertificationsCertified Scrum Product Owner, Advanced CSPO, SAFe Product Owner/Product Manager, DAMA CDMP, Azure Data Fundamentals DP-900, Databricks Fundamentals
Field of studyAnalytics, Data
Study levelMaster's
Requisition ID: 275115
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
The Role
The Senior Manager – Data Product Manager leads the strategy, lifecycle and value realization of data products and shared data capabilities for International Banking. Reporting to the Director, Data Engineering, the incumbent acts as the senior product authority for the portfolio in scope: defining product vision and outcomes, owning roadmaps and prioritized backlogs, setting measurable success criteria, and aligning business, engineering, architecture, governance, risk and country stakeholders around a common direction. The role translates strategic priorities and customer needs into governed, reusable, domain-aligned data products published on Harbour, the bank's Azure Databricks data platform, following the Harbour target architecture and its producer/consumer model ("engineer once, consume many"). This includes the migration and rationalization of legacy on-premises and Google Cloud Platform workloads onto Harbour. The incumbent also leads a small team of Data Product Managers/Product Owners, establishing product management standards and coaching, developing and directing their work across concurrent initiatives and markets.
Is this role right for you? In this role you will:
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Define and own the product vision, strategy and outcome-based roadmap for the data products and shared data capabilities in scope (e.g., curated Gold-layer domain data products, analytics-ready datasets and reusable data services), organized by business domain (BIAN-inspired) and aligned with International Banking strategic priorities and the Harbour target architecture.
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Own and prioritize the product backlogs for the portfolio in scope, balancing business value, regulatory commitments, technical debt and platform capacity; make clear trade-off decisions and communicate the rationale to stakeholders.
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Engage business, Analytics, Risk, Finance, Data Office and country stakeholders to understand data consumer needs, use cases and pain points, and translate them into product requirements, epics, user stories and acceptance criteria.
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Define measurable success criteria and KPIs for each data product (adoption, consumer satisfaction, data quality, timeliness/SLA, reuse and cost-to-serve) and track value realization after release.
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Partner with Senior Data Engineers, Architecture and the Harbour Platform team (Data & AI Technology) to shape data products that follow approved Harbour patterns. These patterns include standard ingestion (metadata-driven batch through Azure Data Factory into ADLS Gen2 and, where applicable, change data capture), data contracts, medallion layering (Bronze, Silver, Gold) and a clear producer/consumer separation, so data is engineered once and reused across consumers rather than rebuilt for each use case.