AI Innovation Product Manager, Senior Manager

PwC•Chicago, IL

5d•$124,000 - $280,000•Remote

About The Position

The Opportunity As an AI Innovation Product Manager you will lead the design and delivery of product concepts that support digital solutions, working across planning, prioritization, development, and launch activities within our Cloud Engineering, Data & Analytics practice. As a Senior Manager you will lead large projects, use sound judgment to navigate complexity, influence stakeholders through clear communication, and guide teams in developing and refining product strategies that align with client needs and business goals. In this role at PwC, you will drive product roadmaps, shape innovation efforts, and help translate emerging ideas into practical solutions for client support work across software and product innovation.

Requirements

At least a Bachelor's degree
At least 7 years of experience

Nice To Haves

AI Fluency and AI-Human Collaboration in product leadership
Developing product roadmaps and technology roadmaps across delivery teams
Leading design workshops and rapid experimentation for product innovation
Managing client relationships, deliverable planning, and project delivery
Applying analytical thinking, strategic questioning, and storytelling
Driving product enhancement, quality assurance, and SDLC improvement

Responsibilities

Leading AI innovation product strategy across custom application development and testing initiatives
Translating client needs and market insights into product roadmaps, user stories, and delivery priorities
Guiding rapid experimentation, prototype development, and product enhancement decisions for AI-enabled solutions
Coordinating delivery planning, release life cycle activities, and project execution across multidisciplinary teams
Applying AI fluency and analytical thinking to evaluate product feasibility, technical tradeoffs, and implementation options
Facilitating design workshops to shape solution concepts, interaction patterns, and adoption approaches
Managing delivery risks, quality assurance activities, and dependency tracking across the system development life cycle
Using storytelling and strategic questioning to present product direction, status, and recommendations to stakeholders
Advancing technology integration, implementation planning, and roadmap alignment across digital tooling and infrastructure
Coaching teams through change, complex problem solving, and product delivery decisions within a dynamic client environment