Data Product Owner (Strategy Lead)

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
 

Job Description:
Responsible for maximizing the value for a product. Defines the vision and roadmap for the product, defining and prioritizing stories in the product backlog, and articulating this to both stakeholders and the development team. Works closely with stakeholders to understand their needs, and with the Product Manager in a scaled Agile model to ensure there is alignment. Possess a working knowledge of the product, and basic understanding of the business or technology domain. With some guidance, creates the vision and roadmap for the product to align with strategic direction for the business or technology domain. Communicates the product vision and roadmap to stakeholders and the team. Collaborates with stakeholders to understand their needs and problems. Creates and prioritizes work for one team. Learning to collaborate with cross-functional teams. With some guidance, creates and prioritizes stories in the product backlog. Refines stories with the team to ensure there are enough ready stories to load the next 1-2 sprints. Reviews and accepts stories and is empowered to make on-the-spot decisions on scope and requirements. Works in partnership with the team to ensure that optimum value is obtained through technology and through an advanced understanding of the business. Individual contributor.

Position Summary:

The Data Product Owner(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.

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 5+ years in data/architecture/product roles, including 3+ 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; 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 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.

Shift:

1st shift (United States of America)

Hours Per Week: 

40