Strategic Public Sector Solutions Architect in London

Strategic Public Sector Solutions Architect in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
NTT DATA

At a Glance

  • Tasks: Lead digital transformations and shape solutions for central government clients.
  • Company: NTT DATA, a leader in public sector technology solutions.
  • Benefits: Competitive salary, career development, and a chance to influence major projects.
  • Other info: Join a dynamic team with opportunities for growth and leadership.
  • Why this job: Make a real difference in government by driving innovative digital solutions.
  • Qualifications: Experience in solution architecture and strong stakeholder management skills.

The predicted salary is between 60000 - 80000 Β£ per year.

NTT DATA in the UK government sector is seeking an experienced permanent Lead Solution Architect to drive high-impact digital and data transformations for central government clients. You will shape large-scale solutions across cloud platforms and legacy estates, working with senior stakeholders and multi-disciplinary teams to deliver secure, compliant, and future-ready architectures.

You will join the Extended Leadership Team reporting to the CTO and contribute to governance and IP.

Strategic Public Sector Solutions Architect in London employer: NTT DATA

At NTT DATA, we pride ourselves on being an excellent employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages creativity in the rapidly evolving field of AI/ML security. Located in a vibrant tech hub, we offer competitive benefits and a dynamic workplace where your contributions directly impact the future of secure AI systems.

NTT DATA

Contact Details:

NTT DATA Recruitment Team

We think you need these skills to ace Strategic Public Sector Solutions Architect in London

Communication Skills
Problem-Solving Skills
Data Governance
Data Engineering
Attention to Detail
SQL
Python