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- Tasks: Drive the end-to-end lifecycle of analytics products in a leading UK bank.
- Company: Join a top UK bank transforming into a data-driven organisation.
- Benefits: Be part of a large-scale data transformation with real business impact.
- Why this job: Shape how data and AI deliver value at scale while collaborating with senior stakeholders.
- Qualifications: Experience as a Product Manager in data, analytics, or AI environments required.
- Other info: Opportunity to enhance data literacy and work on scalable analytics solutions.
The predicted salary is between 60000 - 80000 £ per year.
Please note Banking / FinTech / Financial Services experience is required for this role.
Gresham Hunt are partnering with a leading UK bank who are looking for Analytics Product Managers to play a pivotal role in driving the bank’s transformation into a truly data-driven organisation. This is a high-impact role where you will shape, prioritise and deliver analytics and data products that support strategic decision-making, deepen customer understanding, and strengthen regulatory compliance and risk management.
You’ll sit at the heart of the data, analytics, and business ecosystem, ensuring that analytics products are scalable, reusable, and deliver measurable value across the organisation.
The Role:
As an Analytics Product Manager, you will own and drive the end-to-end lifecycle of analytics products, from ideation and experimentation through to delivery, scaling, and continuous improvement.
- Own and prioritise the analytics product backlog for your data domain
- Translate business needs into clear epics, features, and user stories
- Work closely with data engineering, analytics, and business teams to deliver high-quality data products
- Engage SMEs and stakeholders to refine requirements and validate outcomes
- Challenge and shape demand to ensure solutions are scalable and fit-for-purpose
- Ensure products meet standards for data governance, quality, lineage, and reusability
- Coordinate delivery across internal teams and external partners
- Communicate progress, risks, and priorities effectively, removing blockers proactively
- Support the organisation in improving data literacy and adoption
Essential Experience:
- Proven experience as a Product Manager within data, analytics, or AI environments
- Strong track record of owning and delivering data/analytics products (not just dashboards)
- Experience managing product backlogs and prioritisation in Agile environments
- Ability to translate complex business requirements into structured product artefacts
- Experience working with data engineers, data scientists, and analytics teams
- Strong stakeholder management skills, including the ability to challenge and influence senior stakeholders
Highly Desirable:
- Experience within banking, financial services, or other regulated environments
- Strong understanding of data governance, quality, and lineage
- Scalable data platforms and architectures
- Experience delivering reusable, scalable analytics solutions
- Exposure to AI / advanced analytics products
- Passion for driving data literacy and adoption across organisations
Why Join:
- Be part of a large-scale data transformation programme
- Work on enterprise-level analytics products with real business impact
- Collaborate with senior stakeholders across business and technology
- Opportunity to shape how data and AI deliver value at scale
Analytics Product Manager (Banking)- Interim 6 month Contract in London employer: Gresham Hunt
Contact Detail:
Gresham Hunt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Product Manager (Banking)- Interim 6 month Contract in London
✨Tip Number 1
Network like a pro! Reach out to folks in the banking and FinTech sectors on LinkedIn. Join relevant groups and engage in discussions. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by brushing up on your product management skills, especially in data and analytics. Be ready to discuss how you've driven analytics products in the past and how you can bring that experience to the table. Practice makes perfect!
✨Tip Number 3
Showcase your passion for data! During interviews, share examples of how you've improved data literacy in previous roles. This will demonstrate your commitment to driving change and aligning with the bank's transformation goals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Analytics Product Manager (Banking)- Interim 6 month Contract in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Analytics Product Manager. Highlight your experience in banking, FinTech, or financial services, and showcase any relevant projects that demonstrate your ability to manage data products.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data-driven decision-making. Share specific examples of how you've shaped analytics products in the past and how you can contribute to our transformation journey.
Showcase Your Stakeholder Management Skills: In your application, emphasise your experience working with various stakeholders. We want to see how you've influenced senior leaders and collaborated with teams to deliver high-quality data products.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity.
How to prepare for a job interview at Gresham Hunt
✨Know Your Banking and FinTech Stuff
Make sure you brush up on your knowledge of the banking and FinTech sectors. Understand the latest trends, challenges, and regulations in these industries. This will not only help you answer questions confidently but also show that you're genuinely interested in the role.
✨Master the Product Lifecycle
Familiarise yourself with the end-to-end lifecycle of analytics products. Be ready to discuss how you've owned and delivered similar products in the past. Use specific examples to illustrate your experience with product backlogs, Agile methodologies, and collaboration with data teams.
✨Stakeholder Management is Key
Prepare to talk about your experience in managing stakeholders. Think of instances where you've had to challenge or influence senior stakeholders. Highlight your communication skills and how you’ve effectively removed blockers in previous roles.
✨Show Your Passion for Data Literacy
Express your enthusiasm for driving data literacy within organisations. Share any initiatives you've been part of that aimed at improving data understanding and adoption. This will demonstrate your commitment to the role and the bank's transformation into a data-driven organisation.