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Invent - Transformation Management - Consultant

Job in Orem, Utah County, Utah, 84057, USA
Listing for: Capgemini
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager, Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 67500 - 127510 USD Yearly USD 67500.00 127510.00 YEAR
Job Description & How to Apply Below
Position: Capgemini Invent - Transformation Management - Consultant

Atlanta, Chicago, New York, San Francisco, Seattle

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting‑edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

About

the Job You’re Considering

You’ll join our Transformation Management team, helping clients turn strategy into real execution. The Transformation Management capability team is focused on planning & executing enterprise transformation: governance, planning, delivery cadence, and value tracking—often on programs that are highly‑critical, cross‑functional, and leadership‑sponsored. You’ll learn how large organizations actually transform (and why they often don’t), while building practical skills that translate across industries and operating in an AI‑enabled consulting model—where AI is embedded into transformation design, governance, delivery cadence, and value tracking, not treated as a standalone initiative.

Your

Role

As a consultant, you will support the Transformation Management team by helping mobilize and execute complex transformation programs, bringing structure, rigor, and AI‑enabled coordination to drive delivery, transparency, and value realization.

You will:

  • Support mobilization of transformation programs (workplans, milestones, dependencies, RAID)
  • Run analysis on delivery health and value realization (benefits, KPIs, trends, risks)
  • Support operating model/process work (current state, future state, gaps, recommendations)
  • Coordinate cross‑workstream execution utilizing AI tools: actions, owners, follow‑ups, and closure
  • Support workshops (prep, facilitation support, synthesis into clear outputs)
Your Skills + Experience

You bring strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation. You are able to identify and support AI‑enabled opportunities that improve business outcomes and delivery effectiveness, and you have experience working in AI‑augmented ways of working to enhance research, analysis, and solution development. You collaborate effectively across strategy, technology, data, and design to enable AI‑driven solutions, with a solid understanding of responsible AI principles such as ethics, privacy, security, and governance.

You demonstrate curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments.

Required Experience

  • 2–5 years in consulting, PMO/TMO, transformation delivery, or adjacent roles
  • Strong analytics + crisp communication + structured thinking
  • Comfortable with ambiguity; you can create structure and momentum
  • Reliable stakeholder management: proactive, responsive, and accountable
  • Exposure to governance, operating model, agile delivery, or value tracking is a plus

The base compensation range for this role in the posted location is: $67,500 - $127,510.

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…

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