Description
- DEPARTMENT: Transformation & Technology
- Salary: up to £115K
JOB OVERVIEW:
The AI Scale & Adoption Lead sits within the AI Team and is responsible for driving the structured scale-up and meaningful adoption of AI capabilities across the bank. The role will lead the rollout and embedding of M365 Copilot, Copilot Studio and other approved AI tools, while also defining the broader business readiness, operating model, colleague enablement and governance approach required to move AI from experimentation into sustainable day-to-day use. Working closely with business areas, Technology, Security, Risk, Governance, Data and other key stakeholders, the role will ensure AI adoption is practical, responsible, commercially aware and aligned to the bank’s strategy, values, risk appetite and measurable business outcomes.
RESPONSIBILITIES:
Enterprise AI Scale-Up & Adoption:
- Lead the rollout and ongoing adoption of M365 Copilot, Copilot Studio and other approved AI tools, ensuring these are embedded into day-to-day ways of working and aligned to measurable business outcomes.
- Strategic leadership role co-ordinating technical stakeholders for governed and controlled tooling deployment and scale.
- Define and maintain the AI adoption roadmap, balancing strategic ambition with business readiness, colleague capability, technology constraints, governance requirements and the bank’s risk appetite.
Business Readiness & Behavioural Adoption:
- Design and deliver the business readiness approach required to support successful AI adoption, including stakeholder engagement, change impact assessment, communications, guidance, training and transition planning.
- Ensure business teams understand what is changing, why it matters, how AI tools should be used, what controls apply and what support is available to them.
- Develop practical adoption pathways for different colleague groups, including senior leaders, business users, champions, makers and specialist teams.
- Establish feedback loops with business areas to understand adoption blockers, capability gaps, process impacts and opportunities for further enablement.
AI Delivery & Operating Model:
- Design the operating model for how AI-enabled solutions, agents and automations are identified, built, tested, approved, published, maintained and retired.
- Define clear roles and responsibilities across business teams, AI, technology, security, governance, risk and data stakeholders.
- Establish practical pathways for champion-led, citizen-developer and centrally supported delivery models, ensuring each pathway has appropriate guardrails, support and oversight.
- Define build, publish and environment permissions for Copilot Studio and related platforms, aligned to the bank’s security, governance and licensing requirements.
Governance, Risk, Security & Controls:
- Ensure AI adoption is delivered in line with the bank’s AI governance framework, risk management expectations and wider control environment.
- Translate governance, security, data protection, conduct, operational resilience and responsible AI considerations into practical requirements for implementation.
- Identify gaps in required controls, guidance, assurance processes or technical safeguards, and work with accountable teams to close these before scale.
Colleague Enablement & Capability Building:
- Build and support an AI champion network across the bank, enabling colleagues to identify opportunities, share good practice and support responsible adoption within their business areas.
- Develop practical guidance, playbooks, templates, training materials and communities of practice to help colleagues use AI tools safely and effectively.
- Support business areas in building confidence and capability, ensuring colleagues understand both the benefits and limitations of AI.
- Promote a consistent standard of responsible AI use, including appropriate human oversight, data handling, prompt discipline, output validation and escalation.
Technical Coordination, Commercial Awareness & Prioritisation:
- Provide informed technical coordination across AI scale and adoption activity, ensuring business priorities are translated into viable delivery plans.
- Work closely with architecture, engineering, data, security, risk and delivery teams to unblock implementation, manage dependencies and align delivery activity.
- Understand licensing, consumption, support and platform cost considerations associated with M365 Copilot, Copilot Studio and other AI tooling, and reflect these in rollout planning.
- Maintain a clear view of delivery progress, risks, issues and dependencies, escalating where required to support effective decision-making.
EXPERIENCE AND QUALIFICATIONS:
Mandatory
- Experience operating as a Product Owner/Manager or strategic role within a technology driven environment.
- Understanding of AI concepts, industry trends and common use cases.
- Communication and influencing with senior non-technical stakeholders on AI benefits and limitations.
- Experience of using and implementing M365 CoPilot suite.
Desirable
- Experience of operating within a robust AI Governance framework.
- Confident in benefits sizing and end-to-end value frameworks.
- Understanding of modern data architectures and data management principles.
- Knowledge of AI technology platforms and frameworks.
EXPECTATIONS
In addition to your role responsibilities, you must align with the following principles: Colleagues Expectations, Line Manager Expectations, SLT expectations
TOP 5 SKILLS REQUIRED:
Please note that this only represents the top 5 skills required in this position. The proficiency levels are Awareness, Practitioner and Mastery. Please refer to the Skills Library and Skills Selection Tool to complete the section below.
- Critical Thinking & Problem Solving - Mastery Level
- Masters of critical thinking and problem solving lead the development of frameworks and best practices, mentor others, leverage insights for strategic initiatives and continuous improvement, and consistently demonstrate exceptional attention to detail and high standards of accuracy in all
- Strategic Planning & Implementation - Practitioner Level
- Create strategic plans aligned with bank goals, perform SWOT analyses, set measurable objectives, execute and monitor plans, collaborate with stakeholders, and regularly review and adjust strategies to ensure alignment and progress
- Decision Making - Practitioner Level
- Apply structured processes, think critically, use data and analytical tools, consider implications, communicate decisions clearly, test assumptions creatively, and balance stakeholder impacts to make informed and effective decisions
- Process & Control Documentation - Practitioner Level
- Write clear and accurate process and control documents, regularly update them, ensure accessibility, use documentation for training and consistency, collaborate for comprehensive content, and organize complex information into understandable formats
- Technical Proficiency - Practitioner Level
- Understanding of technical approach to sufficient extent to evaluate technical solutions meeting business needs
BENEFITS:
- A generous pension contribution of up to 20%
- Benefits you can adapt to your lifestyle, such as discounted shopping
- Private healthcare, income protection, life assurance, critical illness cover, dental insurance etc..
- Cycle to work scheme
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