Agentic AI Strategy Lead

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End Date Sunday 14 June 2026 Salary Range £146,591 - £172,460 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description Summary We are looking for senior strategy lead Agentic AI. Leading an Agentic AI domain such as Customer or Operations, you drive the re‑imagination of end‑to‑end value chains, shaping how Agentic AI enables the Group's business priorities in practice. The role requires strong understanding of AI and Agentic AI, combined with business acumen and a solution‑oriented mindset to translate ambition into clear value cases and realistic, scalable roadmaps. You orchestrate the full lifecycle of Agentic AI initiatives within the domain, from core capabilities and shared foundations through prioritisation, build, deployment, and value realisation, working across business, technology, and control functions. You bring diverse perspectives together, influence senior stakeholders, and articulate clearly how Agentic AI unlocks value and advances the Group's strategic objectives. Job Description JOB TITLE: Agentic AI Strategy Lead SALARY: £167,552 - £209,440 LOCATION: Bristol, Edinburgh, Manchester or London WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one our office locations above. About this Opportunity Join one of the Group's most fast-paced and forward-looking areas, where emerging digital technology is transforming how we work and deliver value. We're looking for a Senior Strategy Lead for Agentic AI to help bring the next wave of AI into the heart of the business. Leading a domain such as Customer or Operations, you'll reimagine end‑to‑end value chains and shape how Agentic AI delivers against the Group's priorities. Here's where you'll make a difference: Lead an Agentic AI domain , owning how that domain maps to and enables the Group's business priorities and outcomes. Work with domain and business leaders to identify, frame, and prioritise Agentic AI opportunities and use cases , ensuring choices are grounded in commercial and operational reality. Assess priorities across the full Agentic AI lifecycle , from inception and capability definition through build, deployment, adoption, and value realisation, identifying gaps and strengthening weak points. Build and maintain a realistic, scalable domain roadmap , orchestrating work across business units, platforms, and enabling teams. Translate business objectives into agentic and technical requirements , with sufficient understanding of data, integration, and system dependencies to make the strategy credible and executable. Engage and influence senior stakeholders to secure alignment, resolve competing priorities, and agree clear OKRs-maintaining a single, coherent domain narrative across value, governance, platforms, skills, and change. Define domain ‑ level value outcomes and track realisation , ensuring Agentic AI initiatives remain outcome‑led rather than activity‑driven. Drive operating ‑ model change and business adoption , shaping how agents, teams, controls, and processes come together to make Agentic AI effective in practice. Promote cross ‑ functional collaboration and reuse across business domains and Agentic AI ecosystem , reducing duplication and accelerating scale. Lead and develop a small team of strategy managers within the AI CoE , creating focus, delivery discipline, and synergy across Agentic AI domains. Why Lloyds Banking Group If you think all banks are the same, you'd be wrong. We're an innovative, fast-changing business that's shaping finance as a force for good. A bank that's empowering its people to innovate, explore possibilities and grow with purpose. What we're looking for? A strong understanding of AI and Agentic AI, including how these capabilities scale in practice across platforms, operating models, controls, and enterprise-wide adoption Familiarity with the core building blocks of Agentic AI-data, integration, infrastructure, and orchestration-and how they come together to enable robust, scalable solutions Experience translating business priorities into clear AI and Agentic AI strategies, value cases, and actionable roadmaps The technical depth to engage confidently with platform and engineering teams, alongside the ability to operate effectively with senior business leaders Strong strategic judgement and commercial awareness, grounded in real-world experience of what works (and what doesn't) Experience leading or shaping large-scale AI or Agentic AI initiatives, from early strategy through to delivery and value realisation And any experience of these would be great Working in financial services or another complex, regulated environment. Working in tech or consulting firms. Hands‑on involvement in AI or Agentic AI programme delivery, from design through deployment and adoption. Experience shaping AI portfolios, value narratives, or benefits f

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