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Location

This is a remote role based in the US.

About The Job You're Considering

The Enterprise AI Strategy & Projects Practice Lead is accountable for the vision, growth, governance, operating model, portfolio, and business outcomes of the Enterprise AI Strategy & Projects practice. This role serves as the senior leader responsible for turning AI opportunity into a scalable enterprise capability by aligning strategy, governance, delivery, engineering, adoption, financial accountability, and organizational transformation.

The Practice Lead owns the practice operating model and orchestrates a multidisciplinary team of AI strategy leaders, solution triage leaders, governance specialists, delivery leaders, fluency and adoption specialists, forward deployed engineers, DevOps leaders, GTM leaders, and supporting SMEs. The role ensures the practice operates as an integrated system rather than a collection of independent capabilities.

The Practice Lead is responsible for identifying market opportunities, shaping service offerings, building reusable intellectual property, driving client outcomes, growing delivery capability, developing talent, creating strategic partnerships, overseeing portfolio execution, and establishing Enterprise AI Strategy & Projects as a recognized leader in enterprise AI transformation.

Your Role

Practice Strategy & Leadership

Define and maintain the vision, mission, operating model, and strategic direction for the Enterprise AI Strategy & Projects practice.
Establish practice priorities that align market demand, client outcomes, business strategy, and emerging AI opportunities.
Create a multi-year roadmap for practice growth, capability development, service expansion, and market differentiation.
Evaluate emerging AI trends, technologies, operating models, and industry shifts to determine strategic relevance.
Serve as the senior accountable leader for practice performance, growth, execution quality, and value realization.

Practice Portfolio Management

Maintain executive visibility across the AI opportunity and delivery portfolio.
Balance investments across strategy, innovation, capability building, client delivery, workforce transformation, and operational improvement.
Establish portfolio governance, prioritization models, escalation paths, investment criteria, and decision frameworks.
Review and approve strategic initiatives entering practice execution.
Ensure portfolio resources are aligned to the highest-value opportunities and business priorities.

AI Strategy & Advisory Oversight

Provide executive oversight for enterprise AI strategy engagements, transformation programs, and innovation initiatives.
Guide the development of AI roadmaps, business cases, operating models, investment strategies, and transformation plans.
Ensure client AI strategies align with business goals, governance requirements, delivery realities, and value objectives.
Advise senior executives on AI adoption, organizational readiness, portfolio priorities, and transformation approaches.
Serve as an escalation point for strategic decisions requiring executive guidance.

Practice Operating Model & Capability Development

Design and continuously improve the operating model for Enterprise AI Strategy & Projects.
Define how strategy, triage, governance, delivery, fluency, engineering, DevOps, GTM, and FinOps capabilities work together.
Build repeatable methods, frameworks, accelerators, templates, and delivery assets.
Establish capability maturity objectives and improvement plans for the practice.
Drive operational excellence through standardization, reuse, automation, and continuous improvement.

Leadership of Practice Functions

Set priorities and accountability models across Enterprise AI Strategy, AI Security & Governance, AI FinOps, Enterprise AI Delivery, AI Solution Triage, AI Fluency, Forward Deployed Engineering, Agentic DevOps, and AI GTM & OCM.
Ensure practice functions operate through coordinated handoffs, shared standards, and unified portfolio visibility.
Resolve competing priorities across strategy, delivery, governance, engineering, adoption, and GTM workstreams.
Coordinate investment decisions that improve capability, repeatability, delivery quality, and practice growth.
Drive integrated execution across all workstreams so client outcomes are delivered through one cohesive practice model.

Responsibilities

Revenue Growth & Business Development

Own practice growth objectives and market expansion strategies.
Develop and mature service offerings, advisory capabilities, implementation services, and managed outcomes.
Support executive sales activities, strategic pursuits, account planning, and opportunity qualification.
Participate in executive client workshops, advisory sessions, and transformation discussions.
Identify strategic partnerships that expand the practice’s reach and capability.

Client Executive Engagement

Serve as a trusted advisor to executive stakeholders and senior client leadership.
Help clients understand how AI affects operating models, workforce strategy, products, services, delivery models, and business performance.
Lead high-impact executive conversations concerning AI transformation and value realization.
Facilitate resolution of strategic issues affecting enterprise AI programs.
Build long-term executive relationships that increase trust and market credibility.

Talent & Workforce Leadership

Build and develop a high-performing team of AI leaders and specialists.
Define role structures, career paths, capability models, and succession planning strategies.
Recruit, mentor, and retain top AI talent.
Establish a culture of innovation, accountability, collaboration, learning, and client impact.
Promote knowledge sharing, capability transfer, and leadership development across the practice.

Governance, Risk & Quality Oversight

Ensure enterprise AI initiatives operate within appropriate governance, security, compliance, financial, and operational controls.
Establish quality standards for strategy, advisory, engineering, delivery, and adoption engagements.
Review major risks, delivery concerns, escalations, and portfolio challenges.
Maintain executive visibility into practice health and operational performance.
Create balance between innovation speed and enterprise control requirements.

Market Positioning & Thought Leadership

Establish the practice as a recognized leader in enterprise AI transformation.
Represent the practice in executive forums, industry events, client briefings, and strategic discussions.
Publish and promote reusable thought leadership, methodologies, frameworks, and AI transformation approaches.
Identify emerging market demand and develop new offerings accordingly.
Collaborate with GTM leaders to strengthen internal and external market visibility.

Your Skills And Experience

Required Qualifications

15+ years of experience in technology leadership, consulting, digital transformation, enterprise strategy, business leadership, AI transformation, or related executive roles.
Proven experience building and leading multidisciplinary practices, business units, consulting organizations, or transformation functions.
Experience overseeing large portfolios of strategic initiatives and technology programs.
Strong understanding of enterprise AI, generative AI, automation, cloud platforms, governance, operating models, and organizational transformation.
Experience engaging executive stakeholders and leading complex business transformation efforts.
Strong capability in business development, practice management, financial planning, and organizational growth.
Demonstrated leadership of cross-functional teams across strategy, delivery, technology, and business domains.

Preferred Qualifications

Experience with Microsoft Copilot, Azure OpenAI, OpenAI Enterprise, Anthropic Claude, Google Gemini, AWS Bedrock, or comparable enterprise AI ecosystems.
Experience leading AI Centers of Excellence, transformation offices, innovation organizations, consulting practices, or technology portfolios.
Familiarity with AI governance, Responsible AI, FinOps, cloud economics, platform strategy, and enterprise architecture.
Experience developing market-facing service offerings and transformation methodologies.
Experience in consulting, professional services, managed services, enterprise technology organizations, or large-scale business transformation environments.
Relevant certifications in strategy, leadership, cloud, AI, enterprise architecture, transformation, finance, or organizational change.

Knowledge, Skills & Abilities

Strong executive leadership and organizational management capability.
Ability to align strategy, governance, engineering, delivery, adoption, and operations into a cohesive transformation function.
Deep understanding of AI business value, enterprise transformation, and operating model change.
Strong portfolio management and prioritization skills.
Ability to lead senior executives through complex decisions and organizational change.
Strong business development and market-growth capability.
Strong communication, storytelling, facilitation, and executive-influence skills.
Ability to build sustainable, scalable, and repeatable enterprise capabilities.

Leadership Expectations

Operate as the accountable executive for the Enterprise AI Strategy & Projects practice.
Build a high-performing leadership team capable of scaling enterprise AI transformation.
Drive alignment across all practice functions and stakeholders.
Establish a culture of innovation balanced with governance, accountability, and measurable outcomes.
Develop future practice leaders and succession pipelines.
Create strategic differentiation in the market through capability, delivery excellence, and thought leadership.
Ensure the practice consistently delivers measurable client and business impact.

The base compensation range for this role in the posted location is: $94,248 - $191,950.

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 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

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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