About The Position

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.

Requirements

  • 5–6 years of experience in consulting, product management, analytics, or a related field, with direct involvement in AI‑ or data‑driven initiatives
  • Proven ability to structure ambiguous problems and deliver clear, executive‑ready recommendations
  • Strong working knowledge of AI and data concepts, including LLMs, data pipelines, model evaluation, and semantic layers
  • Advanced capability in strategic storytelling, including developing insight‑driven presentations for senior stakeholders
  • Strong proficiency in analytical modeling and data interpretation, using Excel and related tools to support business cases, scenario analysis, and prioritization
  • A structured, hypothesis‑driven approach to problem‑solving and comfort working with emerging technologies

Nice To Haves

  • AI product discovery, opportunity prioritization, and roadmap development
  • LLM platforms and agentic frameworks (e.g., OpenAI, Anthropic, Google Gemini, LangGraph, CrewAI)
  • Analytics and semantic tooling (e.g., dbt, LookML)
  • Designing and leading client workshops

Responsibilities

  • Owning AI‑focused workstreams from discovery through delivery
  • Leading stakeholder interviews and synthesizing insights into structured findings
  • Evaluating AI platforms, tools, and frameworks against client objectives and maturity
  • Translating business challenges into AI opportunity areas and solution roadmaps
  • Developing executive‑ready presentations and workshop materials
  • Leading or shaping AI readiness and capability assessments
  • Mapping business processes and data flows to identify AI intervention points
  • Contributing to proposals, benchmarks, and internal thought leadership

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
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
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