AI Design Analyst

This role serves as the strategic link between business needs and AI/Copilot solution delivery—shaping valuable, feasible, and ethical use cases. You will assess opportunities, define clear value hypotheses, and ensure alignment with AI strategy and governance while driving adoption readiness.

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

• Design AIenabled workflows prompt patterns user interactions and humanintheloop 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 endtoend processes decision points data dependencies and required human oversight
• Assess feasibility data readiness ethical considerations and AI specific risks
• Design AIenabled workflows prompts and user experiences for Copilot scenarios
• Support experimentation prototyping and MVP definition with delivery teams
• Ensure responsible AI principles eg transparency explainability ISO
  42001 are incorporated into all designs
• Support experimentation and prototyping by defining MVP scope evaluation criteria testing parameters and adoptionreadiness 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 riskinformed 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 reusable assets to support repeatability and uplift design maturity across the AI Foundry
• Managing escalations supporting the wider Data AI Leadership team
• Functional Technical Role Specific
• 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 AIenabled solutions
• Ability to design endtoend AI workflows including prompts orchestration guardrails and humanintheloop models
• Skilled in user research facilitation codesign and requirements gathering workshops
• Working knowledge of Copilot and Power Platform as well as Service DesignUX
• 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 riskaware 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

Capgemini is proud to be a Disability Confident Employer (Level
2) under the UK Government’s Disability Confident scheme.

As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

• Declare they have a disability, and
• Meet the minimum essential criteria for the role.

Please opt in during the application process.

• You’d be joining an accredited Great Place to work for Wellbeing in 2024.…