Product Manager - Tech Delivery - GenAI

Bank of America•New York, NY

2d•Onsite

About The Position

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 owners or specialists to ensure they are aligning on priorities. Job expectations include ensuring delivery of products that meet client expectations, including features, security, availability, resiliency, timelines and costs. Orchestra AI is shaping the future of Generative AI across all eight lines of business at Bank of America. As the company’s Enterprise AI platform, Orchestra AI provides the scalable, secure, and resilient capabilities needed to deliver transformative AI solutions. The platform operates across a sophisticated multi-cloud and on-premises environment and leverages frontier, proprietary, and open-source models to support high-volume, high-impact use cases across the enterprise. This role leads onboarding for the Bank’s enterprise GenAI platform. The role oversees the successful adoption, governance, and delivery of AI use cases from design through deployment while providing executive visibility into portfolio health, risks, readiness, and adoption.

Requirements

Change & Adoption Leadership: Experience driving organizational readiness, enablement, and adoption of new technologies.
People Leadership: Experience building, leading, and developing high-performing teams.
Stakeholder Management: Proven ability to influence leaders and coordinate across technology, risk, compliance, and business organizations.
Communication & Executive Presence: Ability to communicate complex technical, operational, and governance topics to senior audiences.
Business & Solution Analysis: Ability to evaluate use cases, align business objectives to platform capabilities, and assess solution readiness.
Technical Acumen: Understanding of APIs, integrations, application architectures, data flows, and enterprise technology platforms.
Generative AI Expertise: Knowledge of LLMs, agents, RAG architectures, model lifecycle management, and responsible AI principles.
Platform & Product Mindset: Ability to identify capability gaps, influence roadmap priorities, and drive platform adoption at scale.
Program & Portfolio Management: Experience managing complex portfolios, dependencies, risks, and cross-functional delivery.
Operational Excellence: Experience designing scalable processes, controls, automation, KPIs, and reporting frameworks.
Agile / SDLC Experience: Familiarity with enterprise software development, release management, and product delivery practices.

Nice To Haves

5+ years of experience in similar role
Good communication skills
Team player
Organizational skills

Responsibilities

Generates the vision and roadmap for the program based on customer requirements, industry trends, regulations, and the strategic direction for the business or technology domain
Communicates the program vision and roadmap to stakeholders, product owners and the teams
Oversees the budget(s) for one or more products by working closely with finance partners on both personnel and non-personnel expenses
Provides input into defining business capabilities and aligning them to products or creating new products to support them
Ensures product availability by partnering closely with demand and capacity teammates
Develops business cases for new products and additional features for existing products
Partners with the product owners and the teams to ensure that optimum value is obtained through technology and subject-matter expertise and understanding of the business and industry trends
Lead onboarding team responsible for successful delivery of GenAI use case onboarding engagements across the enterprise.
Oversee the portfolio of onboarded and in-flight use cases, providing visibility into readiness, risks, dependencies, adoption, and release schedules.
Ensure tenant teams comply with enterprise AI governance requirements throughout the use case lifecycle.
Own onboarding operating model, standards, and processes that guide use cases from design through deployment, operation, and on-going evolution.
Drive process improvements, tooling, automation, and operational controls to improve scalability, efficiency, and transparency.