Enterprise Data & AI Architect β€” Cloud Analytics Leader

Enterprise Data & AI Architect β€” Cloud Analytics Leader

Full-Time 76662 - 93698 Β£ / year (est.) Home office (partial)
Jefferson Frank

At a Glance

  • Tasks: Lead enterprise-scale data architectures and drive AI adoption across client projects.
  • Company: Join a growing Microsoft-focused consultancy with a focus on innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic role with opportunities to influence business outcomes through data and AI.
  • Why this job: Make a real impact by shaping data strategies and engaging with senior stakeholders.
  • Qualifications: Experience in data architecture and strong client engagement skills.

The predicted salary is between 76662 - 93698 Β£ per year.

Jefferson Frank is recruiting a Data & AI Architect to lead enterprise-scale architectures and delivery for a growing Microsoft-focused consultancy.

You will design modern data platforms, engage with senior stakeholders, and guide AI adoption across client projects across the UK.

The role combines architecture leadership with client engagement, workshops, and governance to drive measurable business outcomes through data and AI initiatives.

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Enterprise Data & AI Architect β€” Cloud Analytics Leader employer: Jefferson Frank

Join a leading UK manufacturing and supply-chain organisation that is at the forefront of digital transformation. With a strong commitment to employee development, you will have access to competitive salaries and opportunities to enhance your IT and Data management skills in a collaborative and dynamic work environment. Located in Surrey, this hybrid role offers the chance to engage with diverse stakeholders while contributing to innovative solutions that drive business success.

Jefferson Frank

Contact Details:

Jefferson Frank Recruitment Team

We think you need these skills to ace Enterprise Data & AI Architect β€” Cloud Analytics Leader

Enterprise Architecture
Data Platform Design
AI Adoption
Stakeholder Engagement
Workshop Facilitation
Governance
Business Outcome Measurement