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