Data/AI Product Manager (Strategy Lead)

Bank of America • Jersey City, NJ

5d • $135,000 - $217,100 • Onsite

About The Position

The Data Product Manager (Strategy Lead) is part of a horizontal function supporting delivery verticals within the ITGPST Data Strategy and Delivery organization. The role defines data domain-level strategies and consistent end-to-end data flow design patterns, and coordinates business and technology teams to scope data-focused requirements across projects. It aligns strategic objectives and standards through governance to reduce rework, support regulatory and audit compliance, and enable reusable patterns. The role also advances strategic objectives such as data modernization, cloud migration, and AI adoption across a multi-million-dollar portfolio.

The position maximizes product value by understanding stakeholder needs and aligning priorities with product owners and specialists. It develops and communicates product and program vision and roadmaps, supports business capability alignment, manages product budgets with finance partners, develops business cases, and works with teams to deliver products that meet client expectations for features, security, availability, resiliency, timelines, and costs. This role is based at the specified Jersey City location and is described as first shift, 40 hours per week.

Requirements

• 10+ years in data, architecture, or product roles, including 5+ years in Payments/Treasury or banking; proven delivery in regulated environments.
• Global Payments domain expertise, including payment rails, clearing and settlement, cross-border flows, correspondent banking, and treasury/payments operations; knowledge of ISO 20022 and SWIFT MT/MX.
• Regulatory and reporting knowledge, including PSD2/Open Banking, AML/Sanctions (GFCC), NFRR/FRR reporting controls, audit readiness, and data retention/lineage requirements.
• Data strategy and architecture experience with canonical data modeling, shared contracts/APIs, event-driven and batch patterns, lineage/metadata, reference/master data, and data quality controls.
• Governance leadership, including design-pattern stewardship, control frameworks, standards enforcement, and policy-to-implementation traceability.
• Enterprise alignment experience, including collaboration with Enterprise Architects, blueprint adherence, pattern libraries, and PI Planning of strategic enablers using SAFe or a similar approach.
• Product management experience with roadmap definition, value hypotheses, backlog curation, Epic/Feature acceptance criteria, and use-case capture and prioritization for reuse and measurable value.
• Portfolio intake and discovery skills, including challenging scope for simplification and modernization, and managing dependencies and risks across CDPO verticals.
• Executive-level storytelling, cross-functional influence, and stakeholder management, including multi-location collaboration across EMEA and global teams.
• Skills listed: 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, and Vendor Management.

Nice To Haves

• Experience with modern data practices such as data mesh/product-based operating models, event streaming (e.g., Kafka), and interoperability standards.
• Experience guiding migration to modern platforms such as Azure or AWS, data lakes/warehouses, streaming, and real-time payments integration.
• Exposure to AI/ML, generative AI, intelligent automation, knowledge management, or advanced analytics use cases.
• SAFe POPM/Architect, CDMP/DAMA, or Azure/AWS cloud certifications.

Responsibilities

• Define data domain and capability strategies, target patterns, and modernization pathways; develop and maintain roadmaps with delivery teams, incorporating Inspect & Adapt learnings, technical debt, and audit findings.
• Assess new portfolio requests to drive data landscape simplification, modernization, and governance, and influence scope and design decisions.
• Lead adoption of target data patterns and co-own business-driven governance with DSME; ensure control efficacy and compliance readiness.
• Lead strategic enablers during PI Planning and align work with enterprise blueprints and standardized data patterns in collaboration with Enterprise Architects.
• Validate Epic acceptance criteria for strategic and governance fit; advise delivery verticals on design trade-offs, prioritization, and dependency management.
• Capture and prioritize client, regulatory, and operational use cases to drive reuse and measurable value.
• Promote canonical data contracts, shared services, and interoperability across domains; champion culture change and pattern libraries.
• Generate program vision and roadmaps based on customer requirements, industry trends, regulations, and the strategic direction of the business or technology domain.
• Communicate program vision and roadmaps to stakeholders, product owners, and teams.
• Oversee product budgets in partnership with finance partners, including personnel and non-personnel expenses.
• Provide input into defining business capabilities and aligning them to products or creating products to support them.
• Ensure product availability by partnering with demand and capacity teammates.
• Develop business cases for new products and additional features for existing products.
• Partner with product owners and teams to maximize value through technology, subject-matter expertise, and understanding of business and industry trends.

Benefits

• Industry-leading benefits.
• Access to paid time off.
• Resources and support for employees.
• Eligible to participate in the annual discretionary plan, with awards based on individual performance and behaviors, line-of-business/group performance and contributions, and overall company success.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed