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AI Product & Innovation Management Consultant

Work from home Full-time role Hiring

About the position At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. At Capgemini Invent, our Data Driven Transformation (DDT) team makes AI work at scale by combining data science and engineering with business consulting. We build context-driven analytics and GenAI/agentic systems that reflect how decisions and work actually happen—grounded in semantic layers, strong data foundations, and governance embedded in decision flows. With a "builder-advisor“ (“forward deployed”) mindset, DDT delivers production-ready impact across operations and customer domains, redefining what enterprise AI advisory looks like in practice.

Responsibilities

  • Lead full AI discovery and strategy engagements end‑to‑end, defining the engagement approach, running delivery teams, and owning the quality of strategy outcomes.
  • Serve as a trusted advisor to VP‑level client leaders, navigating complex stakeholder environments and shaping decisions across AI strategy, product innovation, and transformation execution.
  • Accountable for engagement delivery, team performance, and client satisfaction, operating with significant independence.
  • Contribute actively to business development, account growth, and practice evolution, helping shape DDT’s AI product methodology, tools, and thought leadership.
  • Leading AI product strategy engagements from scoping through final delivery
  • Owning VP‑level client relationships and managing complex organizational dynamics
  • Defining engagement approach, team structure, and delivery plans for complex programs
  • Shaping AI product roadmaps and investment cases that align executive vision with technical realities
  • Driving business development by identifying expansion opportunities, leading proposals, and supporting deal closure
  • Building, mentoring, and managing teams of Consultants and Senior Consultants
  • Contributing to DDT’s AI product methodology, reusable assets, and thought leadership

Requirements

  • Strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation.
  • Ability to identify and support AI‑enabled opportunities that improve business outcomes and delivery effectiveness.
  • Experience working in AI‑augmented ways of working to enhance research, analysis, and solution development.
  • Collaborate effectively across strategy, technology, data, and design to enable AI‑driven solutions.
  • Solid understanding of responsible AI principles such as ethics, privacy, security, and governance.
  • Demonstrate curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments.
  • 7+ years of experience in enterprise AI, data, or digital product initiatives, primarily within consulting or advisory environments
  • Proven ability to lead engagements end‑to‑end and manage VP‑level client relationships
  • Deep fluency in the AI product landscape, including foundation models, agentic frameworks, and AI governance tooling
  • Strong business development capabilities, including proposal leadership, executive selling, and account expansion
  • Experience building, managing, and mentoring small to mid‑sized delivery teams
  • Strong executive communication and strategic storytelling skills, with the ability to translate complex concepts into clear, actionable recommendations

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

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