hackajob is collaborating with Dunnhumby Ltd to connect them with exceptional professionals for this role.

Lead Engineer - Automation & AI (Workplace Technology and Support)

This role is responsible for helping Workplace Technology and Support teams use

automation and AI to improve service quality, reduce manual effort and deliver a better

end user experience.

As a senior individual contributor, this person will act as an internal consultant across

the function — identifying opportunities, shaping solutions and helping teams

implement practical improvements across workplace services, support processes and

platform operations.

The role requires strong Microsoft-centric expertise, a good understanding of service

integration and automation, and the ability to turn ideas into scalable, supportable

outcomes.

Scope

The role supports all Workplace Technology and Support teams, with a focus on

improving services through automation, AI and better technical integration.

It covers Microsoft 365, Copilot, Intune, service workflows and operational tooling,

including opportunities to improve how teams work through scripting, APIs,

infrastructure as code and connected platforms such as ServiceNow.

This is a hands-on, non-managerial role suited to someone who combines technical

depth with a consultative, pragmatic approach.

Key Responsibilities

Technical Leadership & Architecture

• Lead architecture reviews, risk assessments, and pragmatic design decisions.
• Create roadmaps, reference patterns, and repeatable checklists to reduce
  
  

rework.

• Provide high-quality architecture reviews and design assurance for complex
  
  

customer opportunities and deliveries, highlighting risks, trade-offs and

pragmatic options

• Produce clear customer-facing technical outputs (e.g., current-state
  
  

assessments, target-state architectures, and phased roadmaps) that accelerate

decision-making

• Improve consistency and reduce avoidable rework for customers by using
  
  

repeatable patterns, toolsets and standards aligned to dunnhumby ways of

working.

Automation & AI

• Identify and deliver opportunities to use automation and AI to improve
  
  

Workplace Technology and Support services

• Reduce manual effort, simplify processes and improve consistency across
  
  

operational workflows

• Help define a practical roadmap for automation and AI across the function
• Promote reusable, supportable solutions rather than one-off fixes
  
  

Copilot & Microsoft 365

• Help mature how Copilot is managed and used within the workplace technology
  
  

environment

• Support the development of practical patterns, guardrails and support models
  
  

for Copilot-related capabilities

• Build and optimise Copilot agents and custom plugins for enterprise workflows:
• ITSM automation (ServiceNow integrations)
• Device lifecycle automation (Intune-driven workflows)
• Knowledge assistants for internal support teams
• Integrate Copilot capabilities with:
• Endpoint management (Intune / Autopilot)
• Security platforms (Defender, Sentinel)
• Teams Rooms & workplace experience systems
• Develop advanced PowerShell and API-driven automation to complement AI
  
  

workflows

• Create reusable agent design patterns, prompt libraries, and governance
  
  

frameworks

Engineering & Integration

• Design and implement automation using scripting, APIs and infrastructure-as
  
  

code approaches

• Improve integration between Microsoft 365 and service platforms, including
  
  

ServiceNow where appropriate

• Support modernisation of workflows across endpoint, identity and workplace
  
  

services

• Introduce engineering standards, documentation and reusable patterns that
  
  

improve delivery quality

Agile Delivery & Internal Consulting

• Act as an internal consultant to Workplace Tech and Support teams, helping
  
  

shape ideas into workable solutions

• Use agile practices to turn opportunities into epics, user stories and prioritised
  
  

delivery plans

• Provide clear, pragmatic technical guidance across a range of workplace
  
  

technology challenges

• Balance strategic improvement with practical day-to-day delivery needs
  
  

Vendor & Partner Collaboration

• Work with third-party suppliers where needed to support delivery or integration
  
  

work

• Bring commercial awareness to solution design and technology choices
• Ensure external partners deliver in line with internal standards and expected
  
  

outcomes

Essential

Skills & Experience

• 10 years + of experience across the Microsoft stack, particularly Microsoft 365,
  
  

Copilot, Intune and Entra ID

• Proven experience designing or delivering automation solutions in an enterprise
  
  

environment

• Experience using AI to improve operational processes, support services or
  
  

platform management

• Strong understanding of infrastructure as code, scripting, APIs and reusable
  
  

engineering patterns

• Experience working in agile delivery environments, including user stories and
  
  

backlog-driven delivery

• PowerShell or similar automation tooling
• Ability to shape roadmaps and turn opportunities into practical plans
• Strong stakeholder management and communication skills
• Experience working as a senior individual contributor, specialist or internal
  
  

consultant

• Clear focus on service quality and end user experience
  
  

Desirable

• Experience with ServiceNow, particularly integrations with Microsoft 365 or
  
  

workplace services

• Experience improving service desk or support workflows through automation
• Experience establishing standards or operating models for AI or automation
  
  

services

• Certifications
• The Open Group Architecture Framework)
• Certified ScrumMaster
• Microsoft (e.g., SC-300, MD-102, AZ-500) & equivalent experience.
• Mac/Linux management experience
  
  

Behavioural Competencies - Organisational & Behavioural Fit

• User-focused - cares about the experience people actually have with
  
  

technology

• Hands-on - comfortable getting into the detail and solving real problems
• Pragmatic - focuses on workable, supportable solutions
• Consultative - listens well, understands the need and adds value quickly
• Technically curious - actively explores how automation and AI can improve
  
  

outcomes

• Influential - able to guide teams through expertise and credibility
• Clear communicator - explains technical topics simply and effectively
• Accountable - takes ownership and follows through