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

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

Nottingham Full-Time On-site
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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

#UST

Adobe Analytics, Agentic AI, CI/CD, Claude Code, Data Engineering, Data Modeling, Databricks, DevOps, GRC, GitHub Copilot, Microsoft Azure

Data and Digital Analytics engineering manager with AI background ( Data Architect II) in Nottingham employer: UST

As a Salesforce Delivery Lead in London, you will join a dynamic and innovative team within the Financial Services sector, where your expertise will drive impactful technology initiatives. Our hybrid work culture promotes flexibility while fostering collaboration, and we are committed to your professional growth through continuous learning opportunities and mentorship. With a focus on Agile practices and high-performance teams, we offer a rewarding environment that values your contributions and encourages meaningful engagement with stakeholders.

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Contact Details:

UST Recruitment Team