AI Product & Innovation Senior Consultant

Capgemini•Chicago, IL

20h

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. As a Senior Consultant, AI Product & Innovation, you will own defined workstreams end‑to‑end within AI and data‑driven transformation engagements. You will shape the work, drive execution, and deliver high‑quality client outcomes while collaborating closely with engagement leadership and cross‑functional teams. You will act as a trusted day‑to‑day partner to client counterparts, managing priorities independently, escalating risks appropriately, and ensuring clarity and momentum across your workstreams. You will lead discovery efforts, evaluate emerging AI capabilities, and translate insights into clear, actionable recommendations. In addition to client delivery, you will contribute to internal knowledge development, reusable assets, and practice initiatives across Data, AI, and product innovation.

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