Data Product Owner (Strategy Lead)
AI summary of the role
This Data Product Owner (Strategy Lead) defines data domain strategies and end-to-end data flow design patterns for the ITGPST Data Strategy and Delivery organization at Bank of America.
What you’ll do
- Define 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; co-own business-driven governance with DSME; ensure control efficacy and compliance readiness.
- Lead strategic enablers during PI Planning; enforce alignment with enterprise blueprints and standardized data patterns.
What you’ll bring
- 2+ years of applicable experience
- Data & Product Mindset: strong interest in building data-driven products and solutions in a regulated environment
- Analytical & Problem-Solving Skills: ability to structure problems, analyze data, and contribute to solution design
- Stakeholder Engagement: strong communication skills and ability to collaborate across teams
Technologies
Kafka · Azure · AWS · SAFe · ISO 20022 · SWIFT · data mesh · event streaming · data lake · lakehouse
About Bank of America
Universal bank serving consumers, businesses and institutions across deposits, lending, wealth, investment banking and markets, anchored by Merrill and BofA Securities.
Public · 5000+ people
Source and classification
Deployment strategy · Evidence for this classification:
and roadmap for the product to align with strategic direction for the business or technology domain. Job expectations include ensuring delivery of products that meet the expectations of our clients, including features, security, availability, resiliency, timelines and costs. 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, andHow jobs are selected
Employer postings · Data from · Sources