Capgemini Invent, AI Readiness Strategy Management Consultant

Capgemini•Atlanta, GA

About The Position

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. AI Readiness Strategy & Transformation Managing ConsultantAbout the team 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 1. 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.AI Readiness Strategy & Transformation Managing ConsultantYOUR ROLE The ideal candidate will bring a proven track record of success within Data Governance and AI Readiness of a leading management consulting firm. They will demonstrate: Support data-driven transformation initiatives with a focus on data governance, management, and AI readiness. Collaborate cross-functionally with business, IT, and data teams to design, implement, and operationalize data governance frameworks and modern data platforms. Coordinate and deploy data governance initiatives, ensuring alignment with organizational objectives. Design, refine, and maintain data governance frameworks tailored to specific business or functional areas. Apply industry best practices and frameworks (e.g., DAMA, DCAM) in data governance. Define and substantiate roles, responsibilities, operating models, standards, and policies for data governance at application and use case levels. Enable iterative and incremental deployment of data governance per use case, data object, or domain. Ensure consistent data management practices that meet client standards and comply with external regulations. Coordinate between stakeholders to secure cross-functional alignment. Focus on data quality, data integrity, and the application of governance frameworks to project-specific scopes. Support the establishment of modern data estates/platforms, including architecture advisory (AWS, Azure, etc.). Contribute to AI readiness by supporting active data management, semantic layers, and metadata enablement.

Requirements

Experience with data governance frameworks (DAMA, DCAM) and best practices.
Proven ability to coordinate and align stakeholders across business and technical teams.
Experience in designing and operationalizing data governance and management processes.
Consulting skills, including strategic thinking, stakeholder management, and project delivery.
Must have an awareness of how to Design, develop, and deploy AI-driven solutions to enhance decision-making, automate processes, and improve operational efficiency across the organization

Nice To Haves

Familiarity with knowledge management, semantic layers, and metadata management is a plus.
Exposure to modern data platform technologies (AWS, Azure) and data architecture concepts.

Responsibilities

Support data-driven transformation initiatives with a focus on data governance, management, and AI readiness.
Collaborate cross-functionally with business, IT, and data teams to design, implement, and operationalize data governance frameworks and modern data platforms.
Coordinate and deploy data governance initiatives, ensuring alignment with organizational objectives.
Design, refine, and maintain data governance frameworks tailored to specific business or functional areas.
Apply industry best practices and frameworks (e.g., DAMA, DCAM) in data governance.
Define and substantiate roles, responsibilities, operating models, standards, and policies for data governance at application and use case levels.
Enable iterative and incremental deployment of data governance per use case, data object, or domain.
Ensure consistent data management practices that meet client standards and comply with external regulations.
Coordinate between stakeholders to secure cross-functional alignment.
Focus on data quality, data integrity, and the application of governance frameworks to project-specific scopes.
Support the establishment of modern data estates/platforms, including architecture advisory (AWS, Azure, etc.).
Contribute to AI readiness by supporting active data management, semantic layers, and metadata enablement.

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 (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

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