Microsoft Data Team Lead (Associate Director)

Overview

As Data Team Lead, you will steer Data & AI initiatives across industries, shaping data strategy, architecture and large-scale delivery. You’ll lead multidisciplinary teams, mentor talent, and partner with C-suite stakeholders to define transformation roadmaps. The role combines cutting-edge technologies with governance and security to deliver high-impact data and AI solutions. Join a globally connected, innovation-driven environment with ample opportunities to grow and work on – and shape – enterprise-scale programs.

Pay / Benefits

• 30 days of vacation per year
• Private medical insurance
• 3 extra days leave per year for charitable work

Responsibilities

• Lead enterprise data engineering and AI solution delivery across large programmes
• Define and drive modern data platforms using Microsoft technologies; guide architecture, governance and analytics
• Manage scope, quality, budget, timelines, risks and outcomes; oversee multi-disciplinary teams
• Engage senior client stakeholders to shape data strategy and transformation roadmaps
• Establish data governance, security and regulatory best practices; ensure technical excellence
• Contribute to account growth, bids, solution shaping and partnerships (including Microsoft)
• Provide executive reporting, governance and architecture oversight for Data & AI initiatives
• Mentor developers and drive team growth; share thought leadership within the Data & AI community
• Lead architecture reviews, technology selection and technical assurance across major programmes
• Support solution shaping, proposals and business development activities
• Build client relationships and partner with technology vendors to deliver production-grade data/AI solutions
• Align data architecture patterns with client needs and enterprise standards

Key requirements

• Extensive experience leading enterprise Microsoft data platforms and transformation programmes
• Strong expertise in Microsoft Fabric, Azure Databricks, Synapse and Power BI
• Solid understanding of data strategy, governance, security and AI
• Proven track record in delivering large-scale programmes with budgets, risks and stakeholder engagement
• Leadership of large multidisciplinary technology teams
• Strong consulting, advisory and business development capabilities
• Excellent executive communication and influencing skills
• Client-facing and stakeholder-management experience
• Experience in complex data and AI delivery across multiple industries
• Desirable: experience in consulting, SI or large enterprise environments
• Desirable: cloud certifications (e.g., AWS Certified Solutions Architect – Professional)

• Executive communication
• Stakeholder management
• Leadership and mentoring
• Microsoft Fabric
• Azure Databricks
• Azure Synapse

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