Product Manager - Tech Delivery - AI/ML Systems

Job Description:

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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:

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.

Position Summary:

This role is responsible for maximizing the value for one or more products, at the program level in a scaled Agile model. Key responsibilities include defining the vision and roadmap for their products, defining and prioritizing the features/epics in the program backlog, and articulating this to both stakeholders and development teams. This role works closely with stakeholders to understand their needs, and with Products Owners to ensure they are aligned on priorities. They support and collaborate with the Portfolio Product Executive on financials throughout delivery. They are experts of the products, business or technology domain, and the industry in which the product competes.

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

Define and execute a multi-year product strategy for AI model enablement and Generative AI capabilities.

Partner with executive leadership to identify high-value AI use cases and align investments with business priorities.

Establish roadmaps for AI platforms, model services, and reusable GenAI capabilities.

As an expert, create the vision and roadmap for the program based on customer requirements, industry trends, regulations, and the strategic direction for the business or technology domain.

Communicate the program vision and roadmap to stakeholders, Product Owners and the teams.

Oversee the budget(s) for one or more products.

Provide input into defining business capabilities and aligning them to products or creating new products to support them.

Articulate the business value to Product Owners so they understand product and strategy; Ensure alignment across product roadmap

Required Qualifications:

7+ years of Product Management experience with technology platforms, AI products, machine learning systems, or data-driven platforms.

Strong understanding of AI/ML concepts and model lifecycles.

Deep knowledge of Large Language Models (LLMs) and Generative AI technologies.

Experience working with OpenAI APIs and services or similar AI platforms.

Understanding of Foundation models, Agentic AI frameworks, and Fine-tuning methodologies

Experience leading complex products from concept through production deployment.

Ability to translate highly technical AI concepts into clear business outcomes.

Excellent executive communication and stakeholder management skills.

Experience within banking, financial services, fintech, or highly regulated industries.

Desired Qualifications:

Knowledge of Model Risk Management (MRM) frameworks and AI governance practices.

Experience with cloud-based AI services (Azure AI, AWS Bedrock, Google Vertex AI).

Familiarity with MLOps, LLMOps, and AI platform engineering.

Experience launching AI copilots, conversational AI platforms, agentic workflows, or enterprise knowledge assistants.

Understanding of emerging open-source AI ecosystems and model deployment strategies.

Skills:

Financial Management

Influence

Solution Delivery Process

Stakeholder Management

Technical Strategy Development

Agile Practices

Analytical Thinking

Collaboration

Result Orientation

Risk Management

Amazon Web Services (AWS)

Shift:

1st shift (United States of America)

Hours Per Week:

40