Data Architectural lead for Public Sector

Company: NTT
Apply for the Data Architectural lead for Public Sector
Location: London
Job Description:

Overview

In this role you will lead data strategy and advisory for public sector clients, shaping data-driven engagements across government. You will work within the Global Data & Analytics practice to scope and design data initiatives, while building strong relationships with public sector stakeholders. You will drive thought leadership and market-facing offerings, maintain a balanced mix of billable work and business development, and mentor rising leaders in the team.

Pay / Benefits

  • tailored benefits
  • flexible work options
  • learning and development opportunities
  • support for wellbeing and career growth

Responsibilities

  • Lead Public Sector data stakeholder strategy and advisory across government clients
  • Engage from initial contact through sale completion, collaborating with enterprise architects and programme managers to scope, design, plan and cost data engagements
  • Cultivate relationships with current and prospective public sector clients to identify data opportunities and deliver insights
  • Oversee aspects of ongoing relationship management and solution assurance
  • Provide strategic partner engagement to support Public Sector go-to-market initiatives
  • Generate sector-specific thought leadership and offerings to strengthen market position
  • Maintain utilisation target of 20% with remaining time on market-facing activity
  • Coach and mentor team members to develop future leaders

Key requirements

  • 15+ years in professional services with extensive public sector engagement and successful procurement wins
  • 10+ years commercial experience positioning complex data solutions and systems
  • 10+ years leading or contributing to end-to-end data projects
  • Extensive data and analytics background in enterprise settings focusing on data and AI solutions
  • Client relationship and stakeholder management
  • Leadership and mentoring
  • Strategic thinking and advisory capabilities
  • Data and analytics in enterprise settings
  • AI solutions
  • Data strategy and governance

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Posted: September 14th, 2026