Senior Manager, Data Product Manager

Role overview

Product strategy and delivery

• Define product vision, outcome-based roadmaps, success criteria, and prioritized backlogs for data products and shared capabilities.
• Translate needs from business, analytics, risk, finance, data office, and country stakeholders into requirements, epics, user stories, and acceptance criteria.
• Measure adoption, satisfaction, quality, timeliness, reuse, and cost-to-serve; manage product lifecycle with delivery managers and Agile squads.
• Communicate strategy, roadmaps, progress, and decisions to senior leadership.

Platform, governance, and migration

• Partner with engineering, architecture, and platform teams on Azure ingestion, data contracts, medallion layers, and producer/consumer design.
• Plan migration and rationalization of legacy DB2, SQL Server, Hadoop, SAS, and Google Cloud workloads onto Harbour.
• Embed ownership, Unity Catalog, metadata, semantic definitions, lineage, quality monitoring, classification, and access controls.
• Ensure compliance with security, privacy, data residency, and local regulatory requirements; support assessments, control evidence, audits, and regulatory commitments.
• Own business cases, funding requests, cost-to-serve, cloud consumption tracking, and variance escalation.

Team leadership

• Lead, coach, and develop Product Managers and Product Owners through work assignment, objectives, feedback, career development, and hiring.
• Establish standards for discovery, roadmapping, OKRs, and backlog management.

Experience and education

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Business Administration, Economics, or a related field; master’s degree is a plus.
• At least 5 years of progressive product, data management, or analytics experience, including at least 3 years managing data products, platforms, or analytics capabilities.
• Demonstrated data-product launches and scaling with measurable outcomes in a global, multi-country organization.
• Direct people-management experience, including coaching, work assignment, performance feedback, and hiring.
• Banking or financial services experience and knowledge of regulatory, audit, privacy, and data-residency expectations.

Technical and product knowledge

• Strong understanding of Azure Databricks, Delta Lake, Unity Catalog, ADLS Gen2, Azure Data Factory, data contracts, medallion architecture, and producer/consumer design.
• Experience with product discovery, prioritization, OKRs, business cases, funding, product costs, and cloud FinOps.
• Familiarity with governance, data quality, metadata, semantic layers, domain ownership, and control evidence.
• Jira, Azure DevOps, Confluence, Power BI, SQL, and exposure to AI/ML consumption patterns are noted in the qualifications.
• Product certifications and data/cloud certifications are desirable; Spanish is a strong asset.