Data Product Manager (Strategy Lead)

The Data Product Manager (Strategy Lead) role is part of a horizontal function supporting all delivery verticals under the newly formed ITGPST Data Strategy and Delivery organization. This role defines data domain‑level strategies and establishes consistent end‑to‑end data flow design patterns, while enabling accurate and timely data‑focused requirements scoping by coordinating across business and technology teams to synergize efforts across multiple projects. It aligns strategic objectives and enforces standards through governance—reducing rework, ensuring regulatory and audit compliance, and enabling reusable design patterns. The role drives predictable delivery across a multi‑million‑dollar portfolio by embedding opportunities for strategic objectives such as data modernization, cloud migration, and AI adoption. Responsibilities Generates the vision and roadmap for the program based on customer requirements, industry trends, regulations, and the strategic direction for the business or technology domain Communicates the program vision and roadmap to stakeholders, product owners and the teams Oversees the budget(s) for one or more products by working closely with finance partners on both personnel and non‑personnel expenses Provides input into defining business capabilities and aligning them to products or creating new products to support them Ensures product availability by partnering closely with demand and capacity teammates Develops business cases for new products and additional features for existing products Partners with the product owners and the teams to ensure that optimum value is obtained through technology and subject‑matter expertise and understanding of the business and industry trends Key Responsibilities Strategic Vision & Roadmaps – Define data domain/capability strategies, target patterns, and modernization pathways; co‑develop and maintain roadmaps with delivery, incorporating Inspect & Adapt learnings, technical debt, and audit findings. Portfolio Intake & Discovery – Assess new requests to drive data landscape simplification, modernization, and governance; influence scope and design decisions Governance Routines – Lead adoption of target data patterns; co‑own business‑driven governance with DSME; ensure control efficacy and compliance readiness. Architectural Vision & PI Planning – Lead strategic enablers during PI Planning; enforce alignment with enterprise blueprints and standardized data patterns with Enterprise Architects. Delivery Verticals Support – Validate Epic acceptance criteria for strategic and governance fit; advise on design trade‑offs, prioritization, and dependency management. Voice of Customer & Use Case Capture – Serve as the strategy‑layer product manager; capture and prioritize client, regulatory, operational use cases to drive reuse and measurable value. Data‑as‑Product Advocacy – Promote canonical data contracts, shared services, and interoperability across domains; champion culture change and pattern libraries. Required Qualifications Experience: Typically 10+ years in data/architecture/product roles, including 5+ years in Payments/Treasury or banking; proven delivery in regulated environments. Global Payments domain expertise: payment rails, clearing/settlement, cross‑border flows, correspondent banking, treasury/payments operations; ISO20022, SWIFT MT/MX. Regulatory & reporting knowledge: PSD2/Open Banking, AML/Sanctions (GFCC), NFRR/FRR reporting controls, audit readiness; data retention/lineage requirements. Data strategy & architecture: 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; pattern libraries; 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. Desired Qualifications Modern data practices: data mesh and product‑centric operating models; event streaming and real‑time analytics (e.g., Kafka); interoperability and semantic standards. AI & advanced analytics enablement: experience supporting ML/AI use cases through high‑quality data products, feature stores, model lifecycle integration, and explainability tooling. Cloud & platform modernization: guiding migration to modern cloud platforms (Azure, AWS), data lakes/lakehouses, real‑time processing, and payments integration. Certifications: SAFe POPM or Architect, CDMP/DAMA, cloud certifications (Azure/AWS), or relevant data/AI governance credentials. Skills Financial Management Influence Solution Delivery Process Stakeholder Management Technical Strategy Development Agile Practices Analytical Thinking Collaboration Result Orientation Risk Management Business Acumen Business Case Analysis Data Management Solution Design Vendor Management Shift: 1st shift (United States of America) Hours Per Week: 40 #J-18808-Ljbffr Dormont Manufacturing Co