Senior Manager, Data Product Manager

Role overview

Product strategy and delivery

• Define product vision, strategy, roadmaps, backlogs, and measurable outcomes for domain data products and shared capabilities.
• Translate stakeholder needs into product requirements, epics, user stories, and acceptance criteria.
• Partner with engineering, architecture, and Harbour teams to apply approved ingestion, data contract, medallion, and reuse patterns.
• Manage discovery, design, launch, adoption, enhancement, and retirement with delivery teams.

Migration, governance, and value

• Plan migration and rationalization of legacy DB2, SQL Server, Hadoop, SAS, and Google Cloud workloads onto Harbour.
• Prioritize sources and transitions, plan historical loads, coordinate consumer migration, and decommission temporary legacy assets.
• Embed ownership, catalogs, metadata, semantics, lineage, quality monitoring, classification, and role-based access controls.
• Meet security, privacy, residency, and local regulatory needs; contribute to assessments and audit/control evidence.
• Own business cases, funding, cost-to-serve, cloud consumption, benefit tracking, and executive-ready progress reporting.

Team leadership

• Coach and develop product professionals, assign work across products and markets, set objectives, provide feedback, and participate in hiring.
• Set product standards for discovery, roadmapping, OKRs, and backlog management.

Education and experience

• Bachelor's degree in Computer Science, Engineering, Information Systems, Business Administration, Economics, or a related field.
• Master's degree, such as an MBA or MSc in Data/Analytics, is a plus.
• At least 5 years of progressive product management, data management, or data and analytics experience, including 3 years in data product/platform product management.
• Demonstrated data product outcomes and adoption in global, matrixed, multi-country organizations.
• Experience supervising, coaching, and developing product professionals.
• Banking or financial services experience and knowledge of regulatory, audit, privacy, and data residency expectations.

Technical and product qualifications

• Strong understanding of Azure lakehouse architecture, including Azure Databricks, Delta Lake, Unity Catalog, ADLS Gen2, and Azure Data Factory.
• Knowledge of change data capture/event streaming, data contracts, medallion layers, producer/consumer design, and Power BI/SQL consumption.
• Experience with discovery, prioritization, user research, WSJF or RICE, and OKRs; Jira, Azure DevOps, Confluence, and Power BI are named tools.
• Experience developing business cases, securing funding, managing cost-to-serve, and cloud cost/FinOps.
• Familiarity with governance, data quality, metadata, semantic layers, data mesh concepts, BIAN models, and control evidence.
• Product management certifications are highly desirable; data and cloud certifications are assets. Exposure to AI/ML consumption is an asset.
• Spanish is a strong asset for the International Banking footprint.