Head of Data & AI Practice Lead

Posted 06 July 2026
LocationLondon
Job type Permanent
Discipline Technology

Job description

​Head of Data & AI Practice Lead

We are seeking an experienced Head of Data & AI Practice Lead to define, build, and scale a high-performing Data, Analytics, AI, and Generative AI consulting practice. This senior leadership role combines practice strategy, client advisory, business development, solution leadership, delivery excellence, and team growth.

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Key Responsibilities:

  • Define and execute the Data & AI practice strategy, roadmap, service offerings, and growth plans.

  • Own practice revenue, profitability, GTM strategy, partnerships, and commercial growth.

  • Build trusted C-level client relationships and lead enterprise Data & AI transformation engagements.

  • Drive solutions across Data Strategy, Governance, Data Engineering, Analytics, AI/ML, GenAI, Responsible AI, and AI adoption.

  • Lead proposals, RFPs, executive presentations, and strategic client conversations.

  • Establish delivery frameworks, governance models, quality standards, and best practices.

  • Build and mentor high-performing teams of architects, consultants, data engineers, data scientists, and AI specialists.

  • Drive thought leadership, innovation, market presence, and strategic technology partnerships.

Required Experience:

  • 15+ years’ experience across Data, Analytics, AI, or Technology Consulting.

  • 7+ years leading consulting practices, business units, or large-scale transformation teams.

  • Proven experience owning multimillion-pound portfolios, revenue targets, and P&L.

  • Strong background in enterprise Data & AI strategy, architecture, and delivery.

  • Experience with Cloud Data Platforms, AI solutions, GenAI, LLMs, MLOps/LLMOps, and Responsible AI.

  • Strong executive stakeholder management, business development, and leadership capability.

Technology Exposure:

AWS, Azure, Google Cloud, Databricks, Snowflake, Data Platforms, Power BI, Tableau, AI Platforms, LLMs, GenAI, AI Agents, RAG, and modern Data Engineering technologies.

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Education:

Bachelor’s degree in Computer Science, Engineering, Data Science, or related field. Master’s/MBA preferred.

This is a strategic leadership opportunity for an entrepreneurial Data & AI leader to scale a consulting practice, drive innovation, and deliver measurable business outcomes.