Sr. Data Product Owner
Role details
Job location
Tech stack
Job description
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., 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., 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.
Primary Skill: Data Governance Protection & Data Management Secondary Skills: Data Modelling and Data Architecture Tertiary Skill: Cloud Architecture
Requirements
Need an Senior Data Product Owner having Mininmum10+ years of experience in Data Product Owner or Data Product Manager or Data Strategy Lead or Data Architecture roles and having atleast 5 years of experience in Payments/Treasury or banking domain with a proven delivery in regulated environments. Should have an experience in Product Data Management,, Kafka Messaging, and Swift payments tool., 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).