AI Design Analyst
Role details
Job location
Tech stack
Job description
AI Design Analyst - 3 Days Work from Office - Leeds or BradfordFull-time, Purpose of the role: To assess, shape and design AI and Copilot solutions, acting as the critical bridge between business needs and technical delivery. The role ensures use cases are valuable, feasible, ethical and aligned to AI strategy, governance and adoption readiness.
Key AccountabilitiesRole Specific Accountabilities
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.
Shared Accountabilities
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
Uphold corporate legal & regulatory responsibilities
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Requirements
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.
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
Understanding of financial services industry, markets and competitors
Understanding of how financial services organisations operate and the associated regulatory environment, or other regulated industries
Awareness of the Mutual Sector and the needs and interests of Members
