AI and Data Transformation Consultant

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.

The Data Driven Transformation (DDT) team at Capgemini Invent is at the forefront of helping organizations unlock the full potential of their data to drive strategic, scalable, and sustainable change. As part of Capgemini’s Strategy & Transformation Consulting practice, the DDT team brings together deep expertise in data strategy, architecture, governance, and AI to deliver end-to-end transformation solutions tailored to industry-specific needs.

Our unified team structure enables seamless collaboration across domains such as Data & AI Advisory, Data Platforms & Architecture, and Applied Data Fusion. We support clients across sectors—including manufacturing, energy, consumer products, and life sciences—by designing future-ready operating models, embedding data-centric cultures, and accelerating value realization through agile delivery models.

With a strong North American presence and a growing global footprint, the DDT team is recognized for:

• Generative AI enablement to reduce cost and increase innovation
• Data for sustainability initiatives aligned with electrification and digitization trends
• Scalable data product development that emphasizes architectural reusability
• Rapid value delivery in dynamic business environments

Whether it's through strategic visioning, maturity assessments, or hands-on implementation, the DDT team partners with clients to transform how they operate, compete, and grow in a data-driven world.

We’re building a world-class team to deliver AI-driven transformation across financial services, consumer products & retail, pharmaceuticals, manufacturing, supply chain, and industrial operations. If you’re passionate about semantic modeling, AI product strategy, and data transformation
, this is your chance to shape the future of intelligent systems.

We are hiring across multiple tracks:

We are hiring across multiple tracks:

• Context Architecture & Engineering
• Manufacturing Systems & Data/AI Architecture

• Define and deliver AI product vision, roadmaps, and MVPs.
• Design semantic models, ontologies, and event-driven architectures.
• Build predictive models, anomaly detection, and optimization workflows.
• Implement MLOps pipelines for deployment, monitoring, and retraining.

The base compensation range for this role in the posted location is: $72,000 - $136,000

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…