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- Tasks: Lead the development of data products and ensure data quality across our banking platform.
- Company: Join Monument Technology, a pioneer in digital banking solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in the fintech space while working with innovative technology.
- Qualifications: Experience in product ownership and strong analytical skills required.
- Other info: Collaborative culture focused on integrity, innovation, and client success.
The predicted salary is between 36000 - 60000 £ per year.
Location: London (Oxford Circus) Hybrid: 1 day per week in the office
About Monument Technology Limited
Monument Technology provides everything needed to build and run a bank with an open, configurable, end-to-end, banking platform as a service which uses best-in-class components to empower small and medium-sized banks around the world to thrive in the digital age. Our platform is a full-stack 'bank or building-society-in-a-box', delivering all the functionality needed to run and grow a modern, digital-led financial institution, including native mobile app and web experience, servicing, core and all the back-end technologies, integrated in a single, cloud-native solution.
THE ROLE
We are looking for a Data Product Owner to define, govern and deliver data products across the Monument Banking Platform. This is a pivotal role sitting at the intersection of product, platform delivery and data governance. You will combine strong product ownership with deep business analysis capability, translating client and regulatory requirements into structured data solutions that are accurate, governed and reusable across multiple banking clients. You will own the lifecycle of core platform data domains and ensure that data across the platform is consumable, reliable and aligned to operational and regulatory needs.
HOW YOU’LL MAKE AN IMPACT
- Own and evolve data products across key domains including customer, account, transaction, product and regulatory reporting data.
- Define data product vision, roadmap and measurable KPIs focused on accuracy, completeness, availability and usability.
- Translate client bank and building society requirements into scalable platform data capabilities.
- Lead data discovery workshops and define data mappings, models, transformations, migration requirements and integration interfaces.
- Shape canonical data structures that balance standardisation across clients with necessary extensibility.
- Establish and maintain clear data definitions, ownership, lineage and traceability across platform components.
- Define and embed data quality controls and governance frameworks aligned to regulatory expectations.
- Collaborate with architects and engineering teams on APIs, data flows, integration patterns and platform consistency.
- Manage backlog prioritisation, writing structured user stories and acceptance criteria aligned to client value and regulatory need.
- Validate delivered data solutions through testing, reconciliation and stakeholder sign-off to ensure go-live readiness.
- Act as a trusted advisor to client stakeholders, translating complex technical concepts into clear business outcomes.
WE LOOK FOR PEOPLE WITH
- A strong business analysis background with experience operating as a Product Owner or in a data-focused product role.
- Experience defining data requirements, data models and data transformations within complex technology environments.
- Proven delivery of data solutions across banking, fintech or building society platforms.
- Experience supporting system implementations or data migration initiatives.
- A clear understanding of data governance, data quality frameworks and regulatory reporting considerations.
- Experience working in Agile delivery environments, managing backlogs and prioritisation.
- The ability to translate between business, delivery and engineering teams in multi-stakeholder environments.
- Practical SQL capability to interrogate data models and validate data quality.
- Understanding of APIs, integrations and platform-based service models.
- You demonstrate structured analytical thinking, strong facilitation skills and a clear focus on value and outcomes.
- You are comfortable managing competing priorities, challenging constructively and engaging confidently with both technical and non-technical stakeholders.
- You combine attention to detail with commercial awareness and a client delivery mindset.
OUR CULTURE AND VALUES
Our culture and values align with our mission to truly understand and offer exceptional service to our clients. The Monument Technology team is passionate about building more than a bank and more than a technology platform. We are driven to create solutions that respect our clients’ operating realities and regulatory responsibilities. We are guided by integrity, attentiveness, a sense of community and innovation. We build trusted relationships through collaboration, attention to detail and a commitment to continuous improvement. Through inclusive thinking and purposeful innovation, we enable our clients and colleagues to achieve more.
Data Product Owner employer: Monument Technology
Contact Detail:
Monument Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Owner
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching Monument Technology and understanding their platform. Familiarise yourself with their data products and think about how your skills as a Data Product Owner can add value. Show them you’re not just another candidate!
✨Tip Number 3
Practice your pitch! Be ready to explain how your experience aligns with the role. Highlight your business analysis background and any relevant projects you've worked on. Confidence is key, so make sure you can articulate your value clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Monument Technology team. Let’s get you that Data Product Owner role!
We think you need these skills to ace Data Product Owner
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Product Owner role. Highlight your experience in data governance and product ownership, and don’t forget to sprinkle in some of that banking or fintech magic!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re the perfect fit for Monument Technology. Share specific examples of how you've tackled data challenges and delivered solutions in previous roles.
Show Off Your Analytical Skills: We love structured analytical thinking! In your application, give us a taste of how you approach problem-solving, especially when it comes to data models and transformations. We want to see your thought process!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Monument Technology
✨Know Your Data Inside Out
As a Data Product Owner, you need to be well-versed in data governance and quality frameworks. Brush up on your knowledge of data models, transformations, and regulatory requirements. Be ready to discuss how you've successfully defined data requirements in past roles.
✨Showcase Your Agile Experience
Since the role involves working in Agile environments, be prepared to share specific examples of how you've managed backlogs and prioritised tasks. Highlight your experience with user stories and acceptance criteria, as this will demonstrate your ability to deliver value in a fast-paced setting.
✨Communicate Clearly with Stakeholders
You’ll need to act as a bridge between technical and non-technical teams. Practice explaining complex data concepts in simple terms. Think of examples where you’ve successfully translated client needs into actionable data solutions, showcasing your facilitation skills.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare for scenarios where you might need to define data mappings or lead data discovery workshops. Think through how you would approach these situations and be ready to articulate your thought process clearly.