Lead Data Product Manager

Lead Data Product ManagerThe Data Product Manager (Strategy Lead) role is part of a horizontal function supporting all delivery verticals within the ITGPST Data Strategy and Delivery organization. This position defines data domain-level strategies, establishes consistent end-to-end data flow design patterns, and enables data-focused requirements scoping. The role aligns strategic objectives and enforces standards through governance to ensure regulatory compliance and enable reusable design patterns.Key ResponsibilitiesDefine data domain/capability strategies, target patterns, and modernization pathways; co-develop and maintain roadmaps with delivery.Assess new requests to drive data landscape simplification, modernization, and governance; influence scope and design decisions.Lead adoption of target data patterns and co-own business-driven governance to ensure control efficacy and compliance readiness.Lead strategic enablers during PI Planning and enforce alignment with enterprise blueprints and standardized data patterns.Validate Epic acceptance criteria for strategic and governance fit; advise on design trade-offs, prioritization, and dependency management.Serve as the strategy-layer product manager to capture and prioritize client, regulatory, and operational use cases.Promote canonical data contracts, shared services, and interoperability across domains.Required QualificationsExperience: 10+ years in data, architecture, or product roles, including 5+ years in Payments, Treasury, or banking, with proven delivery in regulated environments.Skills:Global Payments domain expertise: payment rails, clearing/settlement, cross-border flows, correspondent banking, treasury/payments operations, ISO 20022, SWIFT MT/MX.Regulatory and reporting knowledge: PSD2/Open Banking, AML/Sanctions (GFCC), NFRR/FRR reporting controls, and audit readiness.Data strategy and architecture: canonical data modeling, shared contracts/APIs, event-driven and batch patterns, lineage/metadata, and data quality controls.Governance leadership: design-pattern stewardship, control frameworks, and standards enforcement.Enterprise alignment: collaboration with Enterprise Architects, blueprint adherence, and pattern libraries (SAFe or similar).Product management: roadmap definition, value hypothesis, backlog curation, and Epic/Feature acceptance criteria.Portfolio intake and discovery: ability to challenge scope for simplification and modernization.Communication and stakeholder management: executive-level storytelling and cross-functional influence.Preferred QualificationsModern data practices: data mesh/product-based operating models, event streaming (e.g., Kafka), and interoperability standards.Cloud and modernization: experience guiding migration to modern platforms (e.g., Azure, AWS), data lakes/warehouses, streaming, and real-time payments integration.Certifications: SAFe POPM/Architect, CDMP/DAMA, and cloud certifications (Azure/AWS).