Principal Data Scientist - Director, Lean Analytics

Principal Data Scientist - Director, Lean Analytics

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

This role is based in the US.

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.

• 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.

• 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.
• Exposure pricing, forecasting, demand planning, or risk analytics.
• Background working impactfully within large, technology‑driven organizations.

The base compensation range for this role in the posted location is: $118,218 - $270,050.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to:
Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non‑negotiable benefits package to all regular, full‑time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• 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…