LocationThis 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
