Product Owner- Tech Delivery

Bank of AmericaCharlotte, NC
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.

Requirements

  • 7+ years of product ownership, product management, software delivery, or technology leadership experience in complex enterprise environments
  • Proven experience defining product vision, managing product roadmaps, prioritizing backlogs, refining user stories, developing acceptance criteria, supporting sprint planning, and maximizing product value across cross-functional teams
  • Demonstrated experience with Generative AI, RAG, prompt engineering, multi-agent concepts, NLP, knowledge integration, or AI-enabled workflow design
  • Experience operating in regulated financial services or similarly controlled technology environments
  • Ability to coordinate governance, risk, and compliance workstreams for AI-enabled technology products, including documentation, approvals, controls, and stakeholder signoffs
  • Strong communication skills with the ability to translate technical AI, platform, governance, and operational concepts into clear business-facing artifacts for senior leaders, engineers, governance partners, and end users
  • Experience working with Agile delivery tooling and practices, including Jira, Confluence, backlog management, sprint planning, story refinement, test evidence, and release coordination.
  • Ability to operate across engineering, operations, governance, architecture, security, and product stakeholders in a matrixed environment

Nice To Haves

  • Prior experience with production-support, incident-management, observability, reliability engineering, or operational intelligence products.
  • Familiarity with enterprise observability and incident-context sources such as myCTO, VOW, Splunk, Dynatrace, NetCool, CRQ, ITSM, Jira, runbooks, playbooks, and production-support knowledge bases.
  • Experience supporting AI governance, model risk documentation, human-in-the-loop controls, prompt / output controls, guardrails, evidence traceability, and risk-based rollout decisions.
  • Experience producing executive-level product materials, operating model documentation, rollout plans, pilot findings, and adoption / training content.
  • Working knowledge of AI product architecture patterns such as RAG, agentic workflows, LangChain, LangGraph, Elasticsearch-backed retrieval, FastAPI services, and human-in-the-loop design.
  • Experience with large-enterprise release processes, production-readiness reviews, security reviews, accessibility validation, Octane / test evidence, and cross-platform dependencies.

Responsibilities

  • Own and mature the REDI product roadmap in partnership with APS&E leadership, engineering, architecture, Reliability Engineering users, myCTO partners, Orchestra AI stakeholders & governance partners
  • Support REDI as an AI-enabled production-support platform by helping translate GenAI capabilities into usable product workflows for Reliability Engineers, Incident Commanders, document authors, and platform stakeholders
  • Coordinate the product-side execution of REDI governance and approval workstreams, including MRM, GIS, PTO, GT GenAI approval, controls documentation, CRQ submissions, release readiness, and production-readiness artifacts
  • Serve as a product coordination point across engineering, APS&E leadership, myCTO, Orchestra AI, GIS, MRM, accessibility, release management
  • Drive the rollout and enablement plan for REDI users, including onboarding materials, pilot AIT readiness, training prerequisites, office hours, user documentation, and communication plans
  • Develop and maintain executive-ready materials that explain REDI’s purpose, value, governance posture, pilot learnings, etc
  • 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

Benefits

  • affordable, competitive and flexible benefits
  • opportunities to learn, grow, and make an impact
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