Data and Digital Analytics engineering manager with AI background ( Data Architect II)

UST • Information Technology • IT Consulting & Digital Transformation • 3-month contract • Power BI • 2 hours ago
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Salary
≈ $61k – $108k per year (Estimated)
Location
Hybrid (Nottingham, United Kingdom)
Seniority
Architect · 10+ years exp

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 26, 2026. UST scores B on the Alion truth index.

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UST

UST is a leading global digital technology and transformation services company that provides innovative solutions to enterprise clients worldwide. Headquartered in Aliso Viejo, California, the firm specializes in digital consulting, cloud infrastructure, product engineering, and cybersecurity. Founded in 1998, it partners with major organizations across diverse industries to accelerate technological modernization and build agile, scalable business models.
ust.com • HQ: Aliso Viejo, United States • Information Technology • IT Outsourcing & Dedicated Teams • IT Consulting & Digital Transformation • 5000+ employees • Est. 1998
Tech stack of UST

Location: Nottingham(Hybrid | Minimum 3 Days Onsite)

Employment type: Fixed-Term Contract | Inside IR35 Contract

Duration: Initial 3 months with possible extensions

Immediate start

Role Purpose

Own and lead the Digital Analytics Engineering function, establish the operating model, deliver the agreed reporting and data-product roadmap, embed agentic development practices.Technomanagerial Role with proficiency in Data, Analytics and AI

Key Responsibilities

  • Serve as the accountable owner for Digital Analytics Engineering and report to client’s Head of Digital Analytics
  • Define and embed the Digital Analytics engineering strategy, governance, and ways of working.
  • Lead the establishment of Agentic Development practices using GitHub Copilot, Claude Code, AI harnesses, skills, and agent workflows.
  • Own backlog prioritization, delivery plans, sprint governance, and stakeholder communication.
  • Drive delivery of project’s reporting requirements and Digital Analytics data products.
  • Represent Digital Analytics Engineering in governance forums, Data & Reporting Pods, and business readiness activities.
  • Manage and mentor delivery teams
  • Define productivity, quality, and cost metrics and demonstrate the value of agentic development.
  • Lead recruitment, onboarding, and handover activities.

    Required Skills

    • Digital Analytics and Data Engineering leadership.
    • Power BI and modern BI architecture.
    • Databricks, Azure Data Platform, and Cloud Analytics.
    • Agentic AI development frameworks and AI-assisted software delivery.
    • Agile delivery management and governance.
    • Data modelling (Silver/Gold layers).
    • Stakeholder management and executive communication.
    • CI/CD, DevOps, and engineering best practices.

      Experience

    • 10+ years in Data & Analytics.
    • 5+ years leading analytics/data engineering teams.
    • Proven experience delivering enterprise reporting and AI-enabled analytics solutions.

      Interested? Apply for an immediate discussion with Talent partner

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