AI Design Analyst - Copilot, Azure

Vallum Associates Limited; Leeds; On-site; GBP 92,000 - 138,000; Full time

Benefits offered by this job

Hybrid work

Contract inside IR35

Job summary

Vallum Associates Limited in Leeds, UK, is seeking an AI Design Analyst on a contract basis inside IR35. Hybrid work: 3 days onsite.

You will assess AI use cases, shape proposals with measurable value, design AI-enabled workflows and prompts, and ensure responsible AI principles across designs. Collaborate with business teams, guide MVP scoping, data readiness checks and governance discussions to deliver practical, safe Copilot solutions.

Qualifications

• 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 and responsible AI.
• Experience assessing data quality, readiness, lineage and feasibility for AI-enabled solutions.
• Excellent stakeholder management and communication skills, including senior-level engagement.

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.

Skills

Ethics

Risk management

Stakeholder mgmt

User research

Regulatory compliance

AI concepts

Education

Higher education qualification in Ethics, Law, Risk Management, Data/CS or related

Tools

Copilot

Power Platform

Azure AI Fundamentals

Job description

The Role: AI Design Analyst

Location: Leeds, UK

Position Type: Contract Inside IR35

Remote work option Available: Hybrid – 3 Days Onsite

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.