Role description: (Please include a brief outline of the impact this role will have, including overview of customer industry and projects, access to cutting-edge technology etc.) We are looking for an experienced AI Design Analyst (AI Foundry) with Function Data & AI 10+ years of experience to take end-to-end ownership.
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 Values, champion diversity and challenge behavior contrary to the Values
- Identify, define & oversee management of risks associated with delivery
- 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.
Sector (desirable)
- 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.
Commercial
- Ability to work with autonomy and make operational decisions
- Experience of delivering organisational change.
- Understanding of related functions and/or services outside of the role’s direct remit.
- Experience of managing a set of internal and external stakeholder relationships.
Interpersonal
- Good interpersonal skills and ability to build and maintain strong working relationships
- Ability to work effectively in diverse teams.
- A problem-solving approach with curiosity and proactivity to engage and understand both the strategic business goals and our customer’s needs
- Ability to identify areas of improvement and create innovative approaches to delivering better quality service.
- Experience working in cross-functional teams and agile environments
- Ability to identify, nurture and realize the potential in others
- Strong communication, engagement and influencing skills
- Ability to effectively represent through building collaborative relationships.