Microsoft and Databricks Practice Lead

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your profile

• 18+ years of experience in consulting and technology, including substantial leadership experience across Data, Analytics, AI and Cloud transformation.
• Prior senior leadership experience with a Big 4 consulting firm or leading Global System Integrator is mandatory, with evidence of building or scaling a Data & AI, Microsoft, Azure or Databricks practice.
• Proven ownership of practice growth, P&L or commercial targets, including large-deal origination, strategic sales, pipeline creation and executive client engagement.
• Strong knowledge of Microsoft Azure, Microsoft Fabric, OneLake, Power BI, Purview, Azure AI, Azure Databricks and the Databricks Data Intelligence Platform.
• Credible understanding of Lakehouse architecture, Delta Lake, Unity Catalog, data engineering, analytics, ML/AI, GenAI, security, governance and platform modernization. Able to guide Fabric versus Databricks positioning, integration and coexistence decisions, and challenge architecture choices against scalability, operating cost, data quality and business requirements.
• Demonstrated experience managing Microsoft and/or Databricks alliances and converting partner relationships into joint opportunities, offerings, certifications and revenue.
• Strong executive presence, consulting orientation and ability to lead large, diverse teams across geographies.

Preferred

• Middle East market experience, especially UAE and KSA, with strong regional client and partner relationships.
• Relevant Microsoft Fabric/Azure and Databricks certifications or demonstrable oversight of certified practices.
• Industry experience in Financial Services, Government, Energy & Utilities, Telecom, Manufacturing or Retail.

Your role

Own the strategy, growth and operational leadership of the Microsoft and Databricks practice. The role carries accountability for bookings, revenue, pipeline, offerings, alliances, delivery governance, talent and market positioning across the Data & AI portfolio. Translate platform capabilities into commercially viable transformation programmes, working with sales, industry and delivery leaders to shape client investment priorities and build a sustainable services business.

Key Responsibilities

• Define and execute the practice strategy and multi-year growth plan across Microsoft Azure, Microsoft Fabric, Databricks, Data Engineering, Analytics, Data Governance, AI/ML and Generative AI.
• Own or materially influence bookings, revenue, qualified pipeline, margin and utilization; lead strategic pursuits, proposals, solution shaping and C-suite presentations. Establish account growth plans, review opportunity qualification and commercial models, and maintain disciplined sales forecasting with account leaders.
• Build executive relationships and joint go-to-market plans with Microsoft and Databricks, including co-sell pipeline, partner funding, certifications, events and joint offerings. Align partner and account teams around priority clients, joint campaigns and opportunity conversion, with clear ownership and regular business reviews.
• Develop differentiated, repeatable propositions such as Fabric adoption, Databricks/Lakehouse modernization, data platform migration, AI-ready data foundations, GenAI and managed data services.
• Act as a trusted advisor on Data & AI strategy, platform choices, architecture, governance, investment roadmaps and measurable business outcomes.
• Provide executive governance for major engagements, ensuring delivery quality, architecture integrity, responsible AI, security, profitability and customer satisfaction. Sponsor architecture and delivery reviews, resolve escalations, and ensure proposals translate into achievable scope, delivery plans and measurable outcomes.
• Build and lead a high-performing, multi-location team of practice leaders, architects, engineers, data scientists and governance specialists; drive hiring, certifications and succession planning.