AI Design Analyst - Copilot, Azure
🔒 Confidential Employer
Posted 23 April 2026
LOCATION
Leeds
TYPE
Contract
LEVEL
Mid-Senior level
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion
SKILLS
AI
Copilot
Prompt Engineering
LLMs
Microsoft Azure AI Fundamentals
Stakeholder Management
User Research
Data Analysis
FULL DESCRIPTION
Job details
: Posted 23 March 2026 : LocationLeeds : Job type [Contract](/jobs/contract-1) : Discipline [Technology](/jobs/technology)
Job description
The Role: AI Design Analyst
Location: Leeds, UK
Position Type: Contract Inside IR35
Remote work option Available: Hybrid – 3 Days Onsite
Job Description:
Key responsibilities:
- Assess and shape AI and Copilot Use Cases aligned to strategic business objectives, shaping them into well‑defined proposals with clear value hypotheses and measurable success criteria.
- Engage with business teams to conduct deep analysis of business problems, workflows, processes and decision points to determine where AI can improve outcomes, efficiency or customer experience.
- Design AI‑enabled workflows, prompt patterns, user interactions and human‑in‑the‑loop models that maximise safety, transparency and user trust.
- Assess solution feasibility by evaluating data readiness, technical constraints, ethical considerations, compliance requirements and operational impacts.
- Map end‑to‑end processes, decision points, data dependencies and required human oversight.
- Assess feasibility, data readiness, ethical considerations and AI‑specific risks.
- Design AI‑enabled workflows, prompts and user experiences for Copilot scenarios.
- Support experimentation, prototyping and MVP definition with delivery teams.
- Ensure responsible AI principles (e.g., transparency, explainability, ISO42001) are incorporated into all designs
- Support experimentation and prototyping by defining MVP scope, evaluation criteria, testing parameters and adoption-readiness indicators.
- Engage with colleagues across the business to capture user perspectives, refine user needs, and ensure solutions align to real operational challenges and behaviours.
- Ensure responsible AI principles are embedded from design, including explainability, traceability, fairness, appropriate safeguards and risk‑informed checks.
- Provide structured analysis to support business cases, investment decisions, risk assessments, and prioritisation discussions at AI governance forums.
- Collaborate with teams to ensure designs are implementable, sustainable and aligned to enterprise architecture.
- Maintain a library of design artefacts, patterns and re‑usable assets to support repeatability and uplift design maturity across the AI Foundry.
- Managing escalations supporting the wider Data & AI Leadership team.
Key skills/knowledge/experience:
- Translate Divisional priorities into plans and deliverables to deliver overall Group strategic priorities
- Build the capability & capacity of functional resources to drive sustained commercial success
- Interpret & communicate the priorities for the Function, motivating and developing a high performing team
- Own functional priorities, applying specialist expertise to put the customer at the heart of everything and drive a profitable business
- Initiate and develop critical external and internal relationships which create value, collaborating to deliver commercial and customer priorities.
- Role model YBS Values, champion diversity and challenge behavior contrary to the Values
- Identify, define & oversee management of risks associated with delivery across YBS
- Uphold corporate legal & regulatory responsibilities
- Implement and manage transformation activity & harness innovation to create a high performing & sustainable business
Person specification: I.e., negotiating, client facing, communication, assertive, team leading/team member skills, supportive.
Functional/Technical (Role Specific)
Essential
- Higher education qualification (or equivalent experience) in Ethics, Law, Risk Management, Social Sciences, Data/Computer Science or relevant field
- Proven experience working in digital, data or AI programmes in complex or regulated environments.
- Skilled at mapping processes, decision flows and user journeys to identify where AI, automation or Copilot can add value.
- Understanding of core AI concepts including LLMs, prompt engineering, automation, decision support and responsible AI.
- Experience assessing data quality, readiness, lineage and feasibility for AI‑enabled solutions.
- Ability to design end‑to‑end AI workflows including prompts, orchestration, guardrails and human‑in‑the‑loop models.
- Skilled in user research, facilitation, co‑design and requirements‑gathering workshops.
- Working knowledge of Copilot and Power Platform as well as Service Design/UX.
- Working knowledge of Microsoft Azure AI Fundamentals
- Excellent stakeholder management and communication skills, including senior‑level engagement.
- Commercial awareness and a value‑driven mindset.
- Familiarity with responsible AI and risk‑aware delivery practices.
- Familiarity with AI ethics, fairness, transparency and accountability principles
- Ability to translate complex technical and regulatory concepts into practical guidance
- Use of professional networks and external influencers with clear evidence of learning and development to build and maintain skills and expertise.
- Ability to be flexible and adaptable with the pace of technology and AI change.
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