Data Product Manager

Role Overview

The Data Strategy Lead / Data Product Manager is accountable for defining and driving the strategic direction of a specific data domain or capability within corporate banking. Acting as the strategic owner, this role ensures alignment with enterprise architecture, governance frameworks, and business priorities. It serves as a critical bridge between strategy and execution, empowering Agile delivery teams to build scalable, compliant, and high-quality data products that support business operations, regulatory obligations, and analytical needs.

This role operates horizontally across delivery verticals under the ITGPST Data Strategy and Delivery organization, enabling consistent end-to-end data flow design patterns, reducing rework, and embedding modernization opportunities such as cloud migration, AI adoption, and data-as-a-product principles.

Key Responsibilities

• Domain Strategy & Roadmaps
  Define and maintain the strategic vision for the data domain, addressing current-state challenges, modernization opportunities, and simplification goals. Co-develop roadmaps with delivery teams to balance long-term direction and near-term execution.
  
  
• Portfolio Intake & Discovery
  Evaluate new demand during intake to identify opportunities for strategic execution (e.g., governance, data quality, modernization). Influence scope and design decisions to align with enterprise priorities.
  
  
• Delivery Outcome Tracking
  Monitor delivery outputs against strategic objectives using clear metrics; escalate misalignments and propose corrective actions to ensure predictable delivery.
  
  
• Voice of Customer & Use Case Capture
  Engage with business, regulatory, and operational stakeholders to ensure strategy reflects real-world needs and drives measurable business value.
  
  
• Integration with Enterprise Architects
  Partner with architects to enforce alignment with enterprise blueprints and standardized data design patterns; co-own pattern libraries and governance routines.
  
  
• PI Planning & Inspect & Adapt
  Actively participate in PI Planning and Inspect & Adapt workshops. Incorporate audit learnings, production incident themes, and delivery retrospectives into strategy updates to strengthen governance and improve audit readiness.
  
  
• Data-as-Product Advocacy
  Promote treating data as a product through canonical models, reusable APIs, and shared contracts; collaborate with Agile Product Owners to embed these into team backlogs.
  
  Primary Skill: Data Strategy & Architecture
  
  Secondary Skill: Global Payments Business Domain /Financial Services Expertise
  
  Tertiary Skill: Data Product Management
  
  Required Skills & Experience
  
  
• Strategic Leadership: Proven ability to define and execute domain-level strategies in complex organizations.
  
  
• Global Payments Expertise: Deep understanding of payment rails, clearing/settlement, cross-border flows, correspondent banking, treasury/payments operations; ISO 20022, SWIFT MT/MX.
  
  
• Regulatory & Reporting Knowledge: PSD2/Open Banking, AML/Sanctions (GFCC), NFRR/FRR reporting controls, audit readiness; data retention/lineage requirements.
  
  
• Data Management Expertise: Canonical data modeling, shared contracts/APIs, event-driven and batch patterns, lineage/metadata, reference/master data, data quality controls.
  
  
• Governance Leadership: Design-pattern stewardship, control frameworks, standards enforcement, policy-to-implementation traceability.
  
  
• Enterprise Alignment: Collaboration with Enterprise Architects; blueprint adherence; PI Planning of strategic enablers (SAFe or similar).
  
  
• Product Management: Roadmap definition, value hypothesis, backlog curation, Epic/Feature acceptance criteria; use-case capture and prioritization for reuse and measurable value.
  
  
• Portfolio Intake & Discovery: Ability to challenge scope for simplification/modernization; dependency and risk management across CDPO verticals.
  
  
• Communication & Stakeholder Management: Executive-level storytelling, cross-functional influence, multi-location collaboration across EMEA and global teams.
  
  
• Experience: Typically 10+ years in data/architecture/product roles, including 5+ years in Payments/Treasury or banking; proven delivery in regulated environments.
  
  Preferred Qualifications
  
  
• Modern Data Practices: Data mesh/product-based operating models; event streaming (e.g., Kafka); interoperability standards.
  
  
• Cloud & Modernization: Experience guiding migration to modern platforms (e.g., Azure, AWS), data lakes/warehouses, streaming, real-time payments integration.
  
  
• Certifications: SAFe POPM/Architect, CDMP/DAMA, and cloud certifications (Azure/AWS).
  
  
• Understanding of Data Mesh Principles: Domain-oriented data ownership models and federated governance