Senior AI Product Manager

PwCVancouver, BC
Hybrid

About The Position

PwC Canada is a national leader in generative AI adoption, having integrated GenAI tools at an enterprise scale. Their AI Factory comprises specialists in product, engineering, data, design, and delivery, focused on rapidly prototyping, validating, and scaling secure, production-ready AI solutions across the firm. This role seeks a highly motivated Product Manager to build products and experiences showcasing state-of-the-art AI, software, and user experience. Projects will range from internal productivity tools for various lines of service (Consulting, Deals, Tax, Assurance) to market-facing client experiences aligned with PwC Canada’s corporate strategy. This position offers a unique opportunity to practice full-stack product management, from low-level software components to end-to-end user experience design. The Product Manager will ensure that AI solution investments deliver maximum business value through direct oversight of product KPIs, commercial and usage targets, and alignment with business and client needs. They will also establish product visions, roadmaps, and practices, leading cross-functional teams throughout the product lifecycle. The role demands accountability for enterprise-grade software, achieving commercialization and adoption targets, and advocating for investment. Furthermore, the Product Manager will foster strong relationships with cross-functional team members and stakeholders, guiding them through new ways of thinking, working, and delivering to deploy desirable, viable, technically feasible, and measurable AI-enabled solutions. As a Senior AI Product Manager, you will be part of a team dedicated to solving business issues, delivering high-quality client service, and enhancing operational efficiency.

Requirements

  • Bachelor’s degree in Business, Design, Data Science, Computer Science, Engineering, or equivalent professional experience
  • Served as the Product Manager for one or more AI products or features shipped to real users, demonstrating accountability across the full product lifecycle
  • A solid understanding of the software development lifecycle, with the ability to engage in moderately technical conversations with engineering teams
  • Actively demonstrate leading‑edge AI curiosity staying on top of new models, tools, and research, and translating advancements into clear product opportunities and recommendations
  • Work daily with cross‑functional delivery teams including Project Managers, Business Analysts, Engineers, QA specialists, Architects, Designers, and others
  • Skilled at navigating complex organizational structures and reconciling differing viewpoints to build alignment and momentum
  • Built meaningful product roadmaps, informed by user research, market analysis, product data, and stakeholder input - not just by collecting feature requests
  • Identified a product goal, aligned technical and business teams around it, delivered a solution, and improved key product metrics

Responsibilities

  • Develop a deep understanding of our business, our clients, and our users to guide solutions that address underlying problems and deliver meaningful business outcomes
  • Stay current on AI trends and provide a point of view on future direction and product development opportunities
  • Define and evolve a clear product vision and roadmap, ensuring alignment with business strategy, user needs, firm priorities and technology trends
  • Cut through noise, using evidence and stakeholder insight to prioritize work that delivers the highest impact for the firm
  • Engage with PwC’s global network and external suppliers to assess whether we should build solutions in‑house or purchase existing ones
  • Collaborate with strategy, project, design, engineering, compliance and a range of business stakeholders - enabling each team and maintaining alignment on business outcomes
  • Support compliant rollout of AI solutions, partnering with business teams to drive adoption, gather feedback, and deliver intended outcomes
  • Define success metrics and track product performance, using data and feedback to guide iteration and demonstrate business value
  • Evangelize products and outcomes across the organization through presentations, written assets, and demos
  • Standardize AI product management practices, tools, and templates to enable consistent delivery across the portfolio
  • Share knowledge and mentor peers by promoting best practices, emerging trends, and continuous improvement across teams

Benefits

  • competitive compensation package
  • inclusive benefits
  • flexibility programs
  • variable incentive pay programs
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