Principal Data Scientist - Director, Lean Analytics

CapgeminiChicago, IL
Onsite

About The Position

The Director, Lean Analytics - CIS is a senior, client-facing leader responsible for transforming complex data into compelling business stories that influence executive decision making. This role focuses on shaping clear, outcome-oriented narratives that help clients and leaders understand challenges, risks, and opportunities—and act on them with confidence. Partnering closely and effectively with business and client stakeholders, the Director elevates analytics from reporting to insight-led storytelling, connecting data to strategy, operations, and measurable impact. Success in this role is defined by the ability to frame insights with clarity, context, and relevance, enabling stronger client conversations and smarter decisions across global engagements.

Requirements

  • 12+ years of experience in data analytics, AI, or data engineering.
  • Proven experience leading teams and delivering analytics solutions in complex environments.
  • Strong understanding of analytics platforms, data pipelines, and enterprise data ecosystems.
  • Ability to communicate insights clearly to senior stakeholders and non-technical audiences.
  • Demonstrated impact improving operational efficiency and decision making through analytics.
  • Experience supporting global or large-scale delivery programs.
  • Background working impactfully within large, technology-driven organizations.

Nice To Haves

  • Exposure pricing, forecasting, demand planning, or risk analytics.

Responsibilities

  • Support the execution of global analytics initiatives aligned to business and delivery objectives.
  • Translate data into concise, outcome-focused insights that support leadership decisions and client conversations.
  • Partner with business and delivery leaders to identify and prioritize data-driven improvement opportunities.
  • Support the development and enhancement of analytics platforms, reporting, and data infrastructure.
  • Use analytics to surface risks, trends, and operational challenges impacting delivery.
  • Ensure data quality, consistency, and governance across programs and reporting outputs.

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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