AI Product Manager

TIAA•Iselin, NJ

18h•Onsite

About The Position

The AI Product Manager at Nuveen will play a crucial role in strengthening how Nuveen leverages artificial intelligence to transform the way we bring value to our investors. You'll drive operating model redesign and implement the full lifecycle of AI products from identifying high-value use cases to delivering secure, reliable solutions that create measurable business impact. This role serves as the critical bridge between our technical AI/ML teams, business stakeholders, and end users ensuring that AI solutions (Traditional/Generative/Agentic) align with strategic objectives.

Requirements

Bachelor's Degree Required
5+ Years Required; 7+ Years Preferred
Experience of working in a Product Manager / Product Owner role in Asset Management / Financial services industry
5+ years of product management experience, with at least 2 years focused on AI/ML products and financial industry
Demonstrated experience leading successful large scale business process and operating model transformation initiatives
Proven track record of delivering data-driven products from concept to production
Strong working knowledge of AI/ML concepts, model evaluation, and deployments
Proven ability to communicate and partner with senior stakeholders and drive alignment across business and technology functions
Experience with Agile/Scrum methodologies and product management tools
Understanding of AWS cloud platforms and data infrastructure
Experience defining metrics and using data to drive product decisions
Exceptional ability to translate product requirements and technical concepts for non-technical audiences

Nice To Haves

Advanced degree in computer science, Data Science, Business, or related fields
Experience with enterprise data architectures and AI/ML tools and ecosystems
Product management certification (CSPO, CPO, or similar)
Experience with working on Agentic AI workflows
Must be able to effectively work in a fast-paced environment with changing priorities, deadlines, and workloads
Related Skills Agile Methodology, Continuous Integration and Deployment, Data Analysis, Debugging, DevOps, Enterprise Application Integration, Operating Systems Management, Problem Solving, Programming, Software Development, Software Development Life Cycle, Web Application Development

Responsibilities

Lead end to end workflow reviews and identify inefficiencies and opportunities for automation
Lead development and execution of AI/ML product strategy and roadmap from concept to deployment
Work with senior product leadership and business stakeholders to understand the roadmap, product strategy, and business goals.
Own and prioritize product backlog based on business value, capacity, and ROI
Partner with engineering and data science teams in Agile environment to deliver well defined Epics, Features and User Stories
Define and track KPIs for model performance, business impact, and user adoption
Implement disciplined execution from concept to deployment of reimagined workflows
Communicate product progress, risks, and trade-offs to executive leadership
Collaborate with AI governance team to ensure compliance and production readiness
Work with data teams on data sourcing, quality, and model lifecycle management
Conduct market research and competitive analysis to inform decisions
Mentor product owners and foster innovation culture