AI Product Manager

Mitsubishi UFJ Financial Group•Jersey City, NJ

2d•Hybrid

About The Position

The Technical Product Manager, AI is responsible for defining, prioritizing, and delivering AI-powered products and platforms that drive measurable business outcomes while meeting enterprise standards for risk, governance, security, and compliance. The role serves as the bridge between business strategy, engineering execution, enterprise architecture, and AI capabilities.

Requirements

8-12+ years of experience in Product Management, Technology Strategy, Digital Transformation, Enterprise Platforms, or AI/ML-related initiatives.
Demonstrated experience delivering enterprise-scale technology products.
Experience working in highly regulated environments such as financial services, banking, insurance, or healthcare preferred.
Proven ability to manage complex cross-functional programs involving business and technology stakeholders
Strong understanding of: Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, AI Platforms and LLMOps, Data Products and APIs
Ability to evaluate AI architectures, vendor offerings, and implementation approaches.
Familiarity with cloud platforms (AWS/Azure), AI governance, data governance, and enterprise integration patterns
Executive communication and influencing skills.
Strong strategic thinking and prioritization capability.
Ability to align multiple business units around a common roadmap.
Excellent analytical and decision-making skills in ambiguous environments.
Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience

Nice To Haves

Experience working in highly regulated environments such as financial services, banking, insurance, or healthcare

Responsibilities

Define AI success metrics aligning with AI Strategy
Identify and prioritize AI use cases based on business value, feasibility, data readiness, risk, and strategic alignment.
Develop business cases and investment proposals for AI initiatives.
Manage product lifecycle from ideation through production and adoption.
Translate business needs into product requirements, epics, user stories, and acceptance criteria.
Partner with AI engineers, architects, data scientists, platform teams, and cybersecurity teams to deliver AI solutions.
Drive technical decisions regarding AI platforms, LLMs, RAG, agents, model selection, and integration patterns.
Ensure scalability, reliability, observability, and operational readiness of AI products.
Serve as the primary interface between business stakeholders, technology teams, risk, legal, compliance, and operations.
Lead cross-functional product planning and prioritization.
Present roadmap progress, risks, and value realization to executive leadership.
Ensure AI products meet Responsible AI, Model Risk, Privacy, Security, and Regulatory requirements.
Incorporate human oversight, explainability, auditability, and governance controls into product design.
Partner with Risk, Compliance, and Legal teams throughout the delivery lifecycle.
Define KPIs and success measures.
Track adoption, productivity gains, risk reduction, cycle-time improvements, and operational efficiency metrics.
Drive change management, training, and stakeholder engagement to maximize business value.