AI Strategy Lead
About the job
- At least 8 years of experience building AI strategy frameworks, defining use cases, creating Agentic AI Center of Excellence target operating models, conducting assessments, and creating roadmaps.
- Familiarity with medallion data architecture and building a semantic data layer.
- Experience with Agentic AI automation workflows using tools such as n8n and Zapier.
- Ability to identify process automation opportunities with Agentic AI and define measurable success criteria.
- Experience participating in generative AI and Agentic AI accelerators or proofs of concept for presales and business development activities.
- Experience defining AI observability standards covering decision traceability, hallucination control, and data lineage.
- Experience translating AI maturity assessments into prioritized transformation roadmaps with business case mapping.
- Ability to identify, assess, and solve client business problems using a data-driven approach to develop AI adoption business strategies.
- Ability to own or support end-to-end AI use case delivery, from discovery workshops through execution for clients and senior leadership teams.
- Experience supporting or leading request for proposal/request for information opportunity development, proposal writing, pricing, and use-case presentations.
- Experience advising IT and business stakeholders on data-stack evolution and strategic investments in an Agentic AI landscape.
- Experience working with cross-functional teams and business stakeholders as a single point of contact for global master data management.
- Experience in AI strategy consulting, including AI advisory, generative AI and Agentic AI use-case identification, AI maturity assessment frameworks, AI Center of Excellence operating models, product roadmaps, and functional readiness documents.
- At least 10 years of proven experience in techno-functional presales, solutioning, and business development activities, and at least 8 years of working knowledge in AI-related strategic programs.
- Moderate understanding of data governance frameworks, data quality principles, and master data management concepts.
- Familiarity with Agile or Scaled Agile Framework methodology.
- Intermediate or strong functional knowledge of generative AI, Agentic AI, large language model applications in enterprise, retrieval-augmented generation concepts, and Agentic AI workflows.
- Working knowledge of Agentic AI architecture, risk, and governance.
- Strong analytical skills related to working with unstructured datasets, including a history of manipulating, processing, and extracting value from large, disconnected datasets.
- Bachelor’s degree in computer science, information technology, data management, or a related field.
- Identify process automation opportunities with Agentic AI and establish measurable success criteria.
- Participate in generative AI and Agentic AI accelerators and proofs of concept as part of presales and business development activities.
- Define AI observability standards covering decision traceability, hallucination control, and data lineage.
- Translate AI maturity assessments into prioritized transformation roadmaps with business case mapping.
- Identify, assess, and solve clients’ business problems using a data-driven approach to derive AI adoption business strategies.
- Own or support end-to-end AI use-case delivery, from discovery workshops through execution for clients and senior leadership teams.
- Support or lead request for proposal/request for information opportunity development, including proposal writing, pricing, and presenting use cases.
- Advise IT and business stakeholders on data-stack evolution and strategic investment in an Agentic AI landscape.
- Work with cross-functional teams and business stakeholders as the single point of contact for global master data management.
- Conduct secondary market research and create assets such as points of view and thought leadership.
- Experience in supply chain, procurement, manufacturing, healthcare, or retail.
- A Master of Business Administration from a Tier 1 or Tier 2 institution.
About the company
Capgemini helps organizations in consulting, technology services, and outsourcing to drive digital transformation. Its offerings include strategy and transformation consulting; system integration, application development, and IT infrastructure management; and managed IT operations and business processes. It competes through a global footprint in over 50 countries with a local touch, applying AI, cloud, and cybersecurity to real-world problems. Its goal is to help clients achieve strategic objectives and improve efficiency through technology.
Company Size
10,001+
Company Stage
IPO
Headquarters
Paris, France
Founded
1967
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Simplify's Take
What believers are saying
- H1 2026 revenue reached €12.082 billion, up 8.8%, and guidance rose to 8.5%-9.0%.
- HMRC’s June 2026 contract adds multi-year public-sector revenue and validates Capgemini’s sovereign-cloud pitch.
- Generative and agentic AI exceeded 10% of Q4 2025 bookings, signaling durable demand momentum.
What critics are saying
- Fit-for-Growth triggered about €700 million restructuring costs across 2026-2027, mostly in 2026.
- June 30, 2026 filings cite recurring India transfer-pricing tax reassessments and active litigation.
- AI services commoditize legacy consulting; WNS integration and workforce cuts threaten margin expansion by 2027.
What makes Capgemini unique
- Capgemini’s October 2025 WNS acquisition created scaled Intelligent Operations and agentic AI delivery.
- The June 2026 HMRC deal extends a 2004 relationship and embeds Capgemini in UK tax systems.
- Capgemini’s September 2026 OpenAI Deployment Company investment deepens enterprise AI implementation access.
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Benefits
Health Insurance
Paid Vacation
Flexible Work Hours
Remote Work Options
Professional Development Budget
Meal Benefits
Dental Insurance
Life Insurance
Performance Bonus
Hybrid Work Options
Growth & Insights and Company News
6 month growth
↑ 5%1 year growth
↑ 5%2 year growth
↑ 5%Capgemini has acquired Collinear Group, enhancing its consulting capabilities in the Seattle area. This move signifies a strategic expansion into the growing data center and technology consulting market, which is crucial for InfraSale's audience focused on infrastructure development. Observers should watch for how this acquisition impacts local data center projects and consulting services.
Life insurers face a relevance crisis, according to the World Life Insurance Report 2027 from Capgemini and LIMRA. The study surveyed over 6,100 consumers globally and found that whilst 47% consider buying life insurance, more than 40% feel confused or unconvinced by available information. One in four abandon the purchase process. Younger consumers aged 18-40 are particularly affected, with 28% dropping out before completion. Technical language, affordability concerns, and perceived irrelevance drive these exits. The report reveals nearly 40% of policyholders rarely hear from insurers post-purchase, and half who discontinue do so within three years. However, best-in-class insurers—representing just 10% of carriers—achieved 41% higher revenue growth and 12% lower lapse rates through personalised engagement and data-driven strategies.
The UK's HM Revenue & Customs has awarded Capgemini a £37 million contract to migrate its Enterprise Tax Management Platform from SAP ECC 6.0 to S/4HANA. The contract runs until 2032, potentially extending Capgemini's involvement with HMRC's tax systems to 28 years since the relationship began in 2004. The platform handles more than £800 billion in tax revenue and payments annually for 40,000 users. HMRC insisted the procurement was fair and competitive, with several bidders competing from the Digital Legacy Application Services framework. Capgemini became HMRC's lead technology supplier in 2004 under the Aspire contract. A 2014 parliamentary committee found that Aspire cost £7.9 billion between 2004 and 2014, generating £1.2 billion in combined profit for Capgemini and Fujitsu.
French technology company Capgemini reported a 31% drop in net profit to €498 million in the first half of the year, down from €724 million in the same period last year, due to higher expenses. Normalised earnings per share fell 12% to €5.29. Revenue climbed 8.8% to €12.08 billion from €11.11 billion. The company's operating margin rose 9.3% to €1.51 billion. Net other operating income and expenses increased to €628 million from €401 million in the prior-year period. Capgemini raised its fiscal 2026 revenue growth outlook to around 8.5% to 9.0% at constant exchange rates, up from its earlier forecast of 6.5% to 8.5%.
Capgemini has upgraded its 2026 revenue growth outlook following strong first-half performance. The French IT services firm now expects constant currency revenue growth of around 8.5% to 9.0%, up from its previous target of 6.5% to 8.5%. The company reported revenues of €12.1 billion in the first half of 2026, up 8.8% year-on-year, with constant currency growth of 11.3%. Operating margin reached 12.5% of revenues, up 10 basis points year-on-year. Chief executive Aiman Ezzat attributed the performance to strong demand for AI-driven transformation services, particularly agentic AI and physical AI solutions. The company's newly integrated Intelligent Business Operations business line, following the WNS acquisition, is generating significant commercial traction. Capgemini maintained its operating margin target of 13.6% to 13.8% and organic free cash flow guidance of €1.8 billion to €1.9 billion for the full year.