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