About The Position

The Data Driven Transformation (DDT) team at Capgemini Invent is at the forefront of helping organizations unlock the full potential of their data to drive strategic, scalable, and sustainable change. As part of Capgemini’s Strategy & Transformation Consulting practice, the DDT team brings together deep expertise in data strategy, architecture, governance, and AI to deliver end-to-end transformation solutions tailored to industry-specific needs. Our unified team structure enables seamless collaboration across domains such as Data & AI Advisory, Data Platforms & Architecture, and Applied Data Fusion. We support clients across sectors—including manufacturing, energy, consumer products, and life sciences—by designing future-ready operating models, embedding data-centric cultures, and accelerating value realization through agile delivery models. With a strong North American presence and a growing global footprint, the DDT team is recognized for generative AI enablement to reduce cost and increase innovation, data for sustainability initiatives aligned with electrification and digitization trends, scalable data product development that emphasizes architectural reusability, and rapid value delivery in dynamic business environments. Whether it's through strategic visioning, maturity assessments, or hands-on implementation, the DDT team partners with clients to transform how they operate, compete, and grow in a data-driven world.

Requirements

  • Strong management consulting background with hands-on experience in AI or generative AI strategy projects, ideally as an engagement or project lead.
  • OR: Product management experience with a pivot into AI product management, including exposure to AI technology stacks and feature development.
  • Ability to translate business needs into technical solutions and vice versa.
  • Excellent client-facing, communication, and relationship management skills.

Responsibilities

  • Acts as an anchor for end-to-end data and AI projects, interfacing with both business and technical stakeholders.
  • Focus is on solutioning, client engagement, and project leadership.
  • Lead and deliver AI, generative AI, and agentic projects from strategy through implementation.
  • Qualify business problem statements and determine appropriate AI or non-AI solutions.
  • Advise clients on the differences between traditional AI, machine learning, generative AI, and agentic technologies, including when each is appropriate.
  • Manage client relationships and act as the main point of contact for AI project delivery.
  • For product-focused candidates: manage AI product roadmaps, requirements, and feature rollouts, ensuring alignment with business needs.

Benefits

  • Empowerment: Lead the change and take initiative, find the work-life balance that suits us, craft or own path through learning and career development programs.
  • Energy: Connect as a global community of 13,000+ colleagues worldwide, celebrate our diverse perspectives and draw from strength from our differences, have fun by providing a range of clubs, events and get-togethers to celebrate our wins and successes.
  • Experiences: Work internally and with clients to make a difference, push boundaries to reimagine what’s possible, work to build a more sustainable and inclusive future.
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