At a Glance
- Tasks: Shape AI strategies for Credit Cards, turning ideas into impactful solutions.
- Company: Join Lloyds Banking Group, a leader in financial services with a focus on innovation.
- Benefits: Enjoy a competitive salary, generous pension, 30 days holiday, and tailored lifestyle benefits.
- Other info: Flexible working options and a commitment to diversity and inclusion.
- Why this job: Make a real difference in finance while working with cutting-edge AI technologies.
- Qualifications: 3+ years in AI strategy or data science, with hands-on experience in modern AI tools.
The predicted salary is between 72702 - 80780 £ per year.
We support flexible working – click here for more information on flexible working options.
Flexible Working Options: Hybrid Working, Job Share.
Uses expertise to select and develop the most appropriate AI & ML solution to a business problem. This can include feature selection, model selection, model training, prompting, fine-tuning, and designing appropriate validation frameworks. Supports capability growth of self and others through coaching and/or management of a small team.
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.
What we’re looking for:
- 3+ years’ experience delivering AI, machine learning, data science or advanced analytics solutions end-to-end, with clear evidence of business impact.
- 3+ years’ experience shaping or delivering AI strategy, ideally within consumer lending, credit cards, financial services or another customer-led, regulated environment.
- Hands-on experience using modern AI tools and techniques, including generative AI, agentic AI, machine learning or applied AI experimentation.
- 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.
- Proven ability to turn ambiguous opportunities into prioritised backlogs, experiments, deliverables and measurable outcomes.
- Strong stakeholder management skills, with the ability to simplify technical topics for non-technical audiences and influence across business, data, engineering and platform teams.
And any experience of these would be great:
- 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.
This is a place for you. Our ambition is to be the leading UK business for diversity, equity, and inclusion supporting our customers, colleagues, and communities. We commit to crafting an environment in which everyone can thrive, learn, and develop. We provide reasonable adjustments during recruitment to reduce or remove barriers. Just let us know what you need.
We offer a wide‑ranging benefits package, including:
- A generous pension contribution of up to 15%
- An annual performance‑related bonus
- Share schemes including free shares
- Benefits you can tailor to your lifestyle, such as discounted shopping
- 30 days’ holiday, plus bank holidays
- A range of wellbeing initiatives and generous parental leave policies
Ready for a career where you can have a positive impact as you learn, grow and thrive? Apply today and find out more!
At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.
We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
AI Product Strategy Manager - Credit Cards in Manchester employer: Lloyds Bank
At Lloyds Banking Group, we pride ourselves on being an exceptional employer, offering a supportive and inclusive work environment in Fort William. With a strong focus on employee growth through our Skill Progression Framework, we provide ample opportunities for career advancement while ensuring a healthy work-life balance with flexible working options. Our comprehensive benefits package, including generous pension contributions and wellbeing initiatives, reflects our commitment to the well-being of our colleagues, making us a great place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Strategy Manager - Credit Cards in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Lloyds Bank!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Product Strategy Manager - Credit Cards at Lloyds Bank.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Lloyds Bank.
✨Apply Directly through Our Website
When you find a suitable opening like AI Product Strategy Manager - Credit Cards at Lloyds Bank, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Product Strategy Manager - Credit Cards in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Lloyds Bank, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Lloyds Bank. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Lloyds Bank
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Lloyds Bank!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.