AI Strategy Manager (Credit Cards)

Overview

• This is your chance to help shape how AI is used across our Credit Cards business, turning ideas into practical solutions that improve customer outcomes, support growth and make work simpler for our teams
• As an AI Strategy Manager, you’ll sit at the centre of our AI transformation across the Credit Cards lifecycle. This isn’t a pure strategy role — you’ll be close to the detail, using AI tools hands-on to test ideas quickly, prove what works and help move successful opportunities towards delivery
• You’ll identify and prioritise high-impact AI use cases, build and manage a clear backlog, and lead rapid test-and-learn cycles that show where AI can create measurable value. You’ll work closely with engineering, data science, product, platform and business teams to translate opportunities into clear experiments, track success metrics and support the scaling of solutions that have strong customer and commercial impact
• A key part of the role will be building momentum. You’ll help colleagues understand what AI can do in practice, bring technical and business teams together, and create the confidence needed to move from experimentation into meaningful adoption. You’ll also play an important role in identifying external partnerships that could accelerate capability, delivery and future innovation
• We’re on an exciting journey to transform our Group and the way we’re shaping finance for good. We’re focusing on the future, investing in our technologies, workplaces and colleagues to make our Group a great place for everyone

Benefits

• A generous holiday allowance: You’ll be eligible for a minimum of 22 days holiday (excluding bank holidays), rising to 30 days based on length of service and grade.
• A flexible way of working: Whether you want flexibility over your location or when you log on, together we can create an approach that works for you and for the business.
• Family leave: Up to 63 weeks of maternity or adoption leave. Statutory maternity or adoption pay is available for 39 weeks, and 20 weeks will be enhanced to the equivalent of full pay. Partners can have six weeks of fully paid paternity leave.
• Flex cash: This is 4% of your basic salary and can be used to spend on the benefits of your choice, or you can choose to take it as a cash top up in your monthly salary.
• Health insurance: Our company funded Private Medical Benefit provides all colleagues with access to good quality medical care, including accommodation, nursing care and specialist advice.
• Colleague Offers: Get discounts on everything from electrical items to cinema tickets and weekly food shopping. You can share this benefit with up to ten family members or friends.
• Financial products: Take advantage of our great financial products, some at a discounted rate, including current accounts, home and car insurance and loans.
• Share plans: Participate in Sharematch and receive matching shares of up to £45 a month from the company, and you can choose to participate in Sharesave, our combined savings and share option plan.
• Pension: We offer a generous pension plan, with all joiners being automatically enrolled in our ‘Your Tomorrow’ scheme. You can decide how much you save and get a say in where your contributions are invested.

Qualifications

• Hands‑on experience using modern AI tools and techniques, including generative AI, agentic AI, machine learning or applied AI experimentation
• 3+ years’ experience delivering AI, machine learning, data science or advanced analytics solutions end‑to‑end, with clear evidence of business impact
• Proven ability to turn ambiguous opportunities into prioritised backlogs, experiments, deliverables and measurable outcomes
• Strong experience working with cloud‑based data and AI platforms, ideally including GCP, BigQuery, MLOps, CI/CD pipelines or version control tools such as Git
• 3+ years’ experience shaping or delivering AI strategy, ideally within consumer lending, credit cards, financial services or another customer‑led, regulated environment
• Strong stakeholder management skills, with the ability to simplify technical topics for non‑technical audiences and influence across business, data, engineering and platform teams
• Experience with internal data ecosystems, data products or large‑scale customer data platforms
• Experience with advanced GenAI use cases such as RAG, copilots, agentic workflows, NLP, document processing or conversational AI
• Exposure to real‑time decisioning, streaming architectures, model governance or regulatory environments
• Experience leading small teams, mentoring others or managing cross‑functional workstreams
• We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply

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