Responsibilities
- Evaluate and develop AI and Copilot use cases that align with strategic business goals, creating detailed proposals with clear value hypotheses and measurable success metrics.
- Collaborate with business teams to analyze business problems, workflows, processes, and decision points to identify areas where AI can enhance outcomes, efficiency, or customer experience.
- Create AI-enabled workflows, prompt patterns, user interactions, and human-in-the-loop models that prioritize safety, transparency, and user trust.
- Evaluate solution feasibility by assessing data readiness, technical constraints, ethical considerations, compliance requirements, and operational impacts.
- Map out 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.
- Assist in experimentation, prototyping, and defining the Minimum Viable Product (MVP) with delivery teams.
- Ensure responsible AI principles (e.g., transparency, explainability, ISO42001) are integrated into all designs.
- Support experimentation and prototyping by defining MVP scope, evaluation criteria, testing parameters, and adoption-readiness indicators.
- Engage with colleagues to gather user perspectives, refine user needs, and ensure solutions address real operational challenges and behaviors.
- Embed responsible AI principles from the design stage, including explainability, traceability, fairness, appropriate safeguards, and risk-informed checks.
- Provide structured analysis to support business cases, investment decisions, risk assessments, and prioritization discussions at AI governance forums.
- Work with teams to ensure designs are implementable, sustainable, and aligned with enterprise architecture.
- Maintain a library of design artifacts, patterns, and reusable assets to support repeatability and enhance design maturity across the AI Foundry.
- Manage escalations and support the wider Data & AI Leadership team.
- Translate divisional priorities into plans and deliverables to achieve overall group strategic priorities.
- Build the capability and capacity of functional resources to drive sustained commercial success.
- Interpret and communicate functional priorities, motivating and developing a high-performing team.
- Own functional priorities, applying specialist expertise to prioritize the customer and drive a profitable business.
- Establish and develop critical external and internal relationships that create value, collaborating to deliver commercial and customer priorities.
- Uphold corporate legal and regulatory responsibilities.
- Implement and manage transformation activities and harness innovation to create a high-performing and sustainable business.
Work Arrangement
3 days work from office
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.
- 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
- Implement and manage transformation activity & harness innovation to create a high performing & sustainable business
