[Hiring] AI strategy lead @Capgemini

Role Description

Having at least 8+ years of experience in building AI strategy frameworks, defining use cases, creating Agentic AI COE Target Operating Model, conducting assessments, and creating roadmaps. Familiarity with the medallion data architecture and building Semantic Data Layer. Experience in Agentic AI automation workflows with tools such as n8n, Zapier etc.

• Ability to identify process automation scopes with Agentic AI with measurable success criteria.
• Active participation in the Gen/Agentic AI driven accelerators/POCs as part of Pre-sales/BD activities.
• Experience in defining observability standards for AI – covering decision traceability, hallucination control and data lineage.
• Experience in translating AI maturity assessment into prioritized transformation roadmaps with business case mapping.
• Identifying, assessing, and solving client’s business problems with a data-driven approach to derive AI adoption business strategy.
• Ability to own/support end-to-end AI use case delivery from conducting discovery workshops to execution for client/senior leadership team.
• Support/Lead RFP/RFI opportunity development such as opportunity development, proposal writing, pricing and presentation of use cases.
• Work with IT and business stakeholders on the advisory activity on the data stack evolution and strategic investment to remain competitive advantage in an Agentic AI landscape.
• Work with cross-functional teams and business stakeholders as a SPOC for global master data management.

Qualifications

• Experience in AI Strategy consulting in areas including AI Advisory, Gen/Agentic AI user case identification, AI maturity assessment framework, AI COE operating model, product roadmap, and functional readiness documents.
• Minimum 10-15+ years of proven experience in Techno-functional Pre-sales, Solutioning, and Business development activities.
• 8+ years of working knowledge in AI-related strategic programs.
• Moderate understanding of data governance frameworks, data quality principles, and MDM concepts.
• Familiarity with Agile / SAFE methodology.
• Excellent analytical and problem-solving skills.
• Strong presentation skills, proposal crafting for Sales opportunities.
• Intermediate/Strong functional knowledge of GenAI/Agentic AI and LLM application in enterprise, RAG concept, and agentic AI workflows.
• Working knowledge of Agentic AI architecture, risk, and governance.
• Strong communication and interpersonal skills to convey business values of Data solutions to senior stakeholders.
• Ability to engage credibly with both operational leaders and technical leaders on domain-specific AI value creation.
• Experience in extensive secondary market research, asset creation such as Point of view (POV), thought leadership etc.
• Strong analytic skills related to working with unstructured datasets.
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
• Tier 1 / 2 MBA would be preferred.
• Bachelor’s degree in computer science, Information Technology, Data Management, or a related field.
• Experience in one of the industries – Supply chain, Procurement, Manufacturing, Healthcare, Retail will be an added advantage.

Benefits

• Flexible work arrangements to provide support, including remote work and flexible work hours.
• Career growth programs and diverse professions crafted to support exploration of a world of opportunities.
• Valuable certifications in the latest technologies such as Generative AI.