Data And Digital Analytics Engineering Manager With AI Background ( Data Architect II)

Department Icon Data Science Analytics & Machine Learning
Posted: 2 hours ago
8-15 years
Nottingham, India
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 25 Dec 2026

Posted: 2 hours ago
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Job Description
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Job Description

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

Skills

Data EngineeringPower BIDatabricksAzureCI/CDDevOpsGitHubRecruitmentOnboardingAgileStakeholder ManagementCommunicationLeadershipTeams

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