Data/AI Product Owner

Bank of America•Jersey City, NJ

1d•Onsite

About The Position

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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! This job is responsible for maximizing the value for one or more products. Key responsibilities include working with stakeholders to understand their needs, and with product managers or specialists to ensure they are aligning on priorities and creating the vision 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. The Cross Domain Product Owner role is part of a horizontal function supporting all delivery verticals under the newly formed ITGPST Data Strategy and Delivery organization. Defines and drives the domain-level data strategy, ensuring alignment with business objectives. Co-develops data roadmaps in partnership with delivery verticals to enable strategic outcomes. Establishes a long-term vision for data capabilities, identifies data modernization/simplification opportunities, and governs portfolio alignment with strategic priorities. Captures the voice of the customer to ensure data products meet business needs. Collaborates closely with Enterprise Architecture and Data Management teams to embed strategic priorities into delivery backlogs, ensuring consistent execution and measurable value. Without this role, projects will continue to incur high costs from inconsistent development, regulatory risks will persist due to lack of consistency, and delivery delays will occur from insufficient data perspective during requirements grooming and planning.

Requirements

2+ years of experience in data, analytics, product ownership, data governance, business analysis, technology delivery, architecture, or related disciplines
Strong interest in data, analytics, AI, machine learning, intelligent automation, and emerging technologies, with a passion for applying these capabilities to solve business problems and create measurable value
Understanding of core data management concepts, including data quality, metadata, lineage, governance, and data lifecycle management
Exposure to modern data platforms, cloud technologies, data integration patterns, analytics solutions, or AI-enabled capabilities
Strong analytical and problem-solving skills with the ability to identify opportunities for simplification, modernization, automation, and reuse
Proven ability to translate business and technology requirements into practical delivery approaches and influence decisions across multiple stakeholders
Excellent communication, stakeholder management, facilitation, and presentation skills across business and technology teams
Experience working in Agile delivery environments, including collaboration with Product Owners, Architects, Engineering teams, and Agile Release Trains
Demonstrated curiosity, learning agility, and willingness to continuously develop expertise in data, analytics, AI, and emerging technologies

Nice To Haves

Experience in banking, payments, treasury, financial services, or other regulated industries.
Experience with data product management, data strategy, governance, or enterprise architecture initiatives.
Exposure to AI/ML, generative AI, intelligent automation, knowledge management, or advanced analytics use cases.
Experience with modern platforms such as Databricks, Snowflake, Kafka, Starburst, ThoughtSpot, Tableau, MicroStrategy, Informatica, or similar technologies.
Experience with cloud platforms such as Azure, AWS, or GCP.
Relevant certifications in Agile, Data Management, Cloud, AI, Analytics, or Product Management.

Responsibilities

Define a multi-year data platform strategy and roadmap (cloud-native, Lakehouse, streaming/event-driven, open table formats) balancing short-term delivery with long-term modernization
Convert architecture principles into actionable guidance for teams; ensure plans are cost-aware, feasible, and credible
Monitor and assess new technologies for data and analytics (e.g., distributed query engines, graph databases, NoSQL, Oracle 23AI, Lakehouse architectures)
Evaluate AI/ML use cases for scalability, risk, and business value; advise on platforms, MLOps, and integration patterns
Sponsor proofs of concept with delivery teams; set success criteria and engineering standards
Scale validated patterns into reusable accelerators and templates; measure ROI to guide prioritization
Drive migration from legacy warehouses to cloud-ready Lakehouse platforms (e.g., Databricks, Snowflake) with secure, cost-efficient services
Collaborate with Platform ART, CTI, and System Teams to optimize performance, resilience, and cost (FinOps)
Provide expertise in relational/NoSQL databases, open table formats (Iceberg, Delta Lake), streaming (Kafka), and event-driven architectures
Define reusable patterns for batch, streaming, APIs, and data services; advocate data mesh principles where suitable
Align with enterprise data strategy, governance, and approved tools (e.g., Collibra, SALT, Informatica)
Embed responsible AI, model risk controls, lineage standards, and regulatory compliance (GDPR, conduct risk) in solutions
Lead data literacy programs, training, and communities of practice to foster adoption of AI and modern engineering
Promote best practices for BI tools (ThoughtSpot, MicroStrategy, Tableau) to accelerate insights
Serve as trusted advisor to business, tech, and compliance teams—communicating strategic impact and cost/benefit
Partner with Product Owners and Agile Release Trains to integrate platform strategy, AI innovation, and modernization into delivery workflows
Generates 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
Prioritizes and creates work for a team, learning to collaborate with cross-functional teams
Creates, prioritizes and refines stories in the product backlog
Reviews and accepts stories and makes decisions regarding scope and requirements
Partners with the team to ensure that optimum value is obtained through technology and through subject-matter expertise of the business