At a Glance
- Tasks: Own and evolve a data-intensive SaaS Management Platform, driving impactful product delivery.
- Company: Join a forward-thinking tech company with a focus on innovation and collaboration.
- Benefits: Competitive salary, great benefits, and opportunities for professional growth.
- Other info: Dynamic environment with exposure to enterprise SaaS ecosystems and workflow automation.
- Why this job: Make a real impact by solving genuine customer problems with data-driven solutions.
- Qualifications: 5+ years as a Product Owner in SaaS/B2B, with strong data modelling skills.
The predicted salary is between 55000 - 65000 £ per year.
We are seeking a Senior Data Product Owner to own and evolve Calero’s SaaS Management Platform. This is a data-intensive role where success hinges on usage and financial modelling—ensuring data is accurate and drives real business decisions.
You will act as the primary customer advocate: listening intently to users, reviewing data driven scenarios, synthesizing feedback, and collaborating with engineers to deliver solutions that solve genuine problems.
Key Responsibilities- Product Ownership & Delivery: Own and refine the product backlog, aligning features with business priorities, customer needs, and technical feasibility. Translate customer requirements into clearly defined problems, broken down as user stories, epics, and acceptance criteria with clear value focus. Drive ruthless value slicing—deliver features in small, high-impact increments to enable early feedback and reduce rework. Maintain predictable delivery and transparent road mapping, ensuring alignment between sprint outputs and roadmap commitments.
- Data & Modelling Leadership: Define and validate financial data models, ensuring figures (e.g., allocations, pricing, usage metrics) are accurate, consistent, and actionable. Hands-on configuration of automation/integration tools (e.g., Make, n8n, Zapier) to prototype and test data workflows; comfortably read and interpret API specs to validate feasibility.
- Customer & Stakeholder Engagement: Be the deep customer advocate and business user proxy: Deeply understand 'Jobs To Be Done' in contract management, pricing, usage, and allocations. Demonstrate and test product capabilities as a business user would, ensuring they solve real problems. Lead customer workshops, proof-of-concepts, and pilot programs to capture feedback early. Provide evidence to stakeholders that delivered capabilities are fit for business purpose, not just technically complete.
- Measurement & Reporting: Define and track KPIs and success metrics for features and releases (e.g., adoption, usage, savings delivered, customer satisfaction). Report on performance to leadership and stakeholders, ensuring transparency on outcomes, risks, and trade-offs. Manage scope rigorously to deliver on time and prevent feature creep.
- 5+ years as a Product Owner in SaaS/B2B environments, ideally with finance-related products involving data modelling, contracts, pricing, usage etc.
- Experience ensuring financial figures are modelled accurately and deliver business value; comfortable with data quality & analytics.
- Ability to read/interpret REST API documentation and configure basic automation/integration flows (e.g., n8n, Make, Zapier, Workato).
- Expertise in gathering/prioritizing requirements, writing acceptance criteria, and validating against real customer outcomes in data-heavy contexts.
- Proven agile delivery (Scrum/Kanban/SAFe) with emphasis on predictable, feedback-driven results.
- Bonus: FinOps, ITAM, SaaS financial management, or ERP/accounting integrations (e.g., NetSuite).
- Customer-obsessed – represents the voice of the user at every stage.
- Outcome-driven – focuses on solving problems, not just shipping features.
- Analytical & accountable – measures impact and reports results clearly.
- Collaborative communicator – transparent with stakeholders, candid about trade-offs and risks.
- Technically curious – eager to explore APIs, integrations, and new automation tools.
- The opportunity to innovate on new growth product.
- A collaborative and innovative product culture.
- Exposure to enterprise SaaS ecosystems and workflow automation platforms.
- Competitive compensation, benefits, and professional growth opportunities.
Senior Data Product Owner in Edinburgh employer: CALERO
Calero is an exceptional employer that fosters a collaborative and innovative product culture, making it an ideal place for a Senior Data Product Owner to thrive. With a strong focus on employee growth opportunities and competitive compensation, you will be empowered to drive meaningful change within our SaaS Management Platform while engaging deeply with customers to deliver impactful solutions. Located in a dynamic environment, Calero offers the chance to work at the forefront of enterprise SaaS ecosystems, ensuring your contributions are both valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Product Owner in Edinburgh
✨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 CALERO!
✨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 Senior Data Product Owner at CALERO.
✨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 CALERO.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Product Owner at CALERO, 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 Senior Data Product Owner in Edinburgh
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 CALERO, 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 CALERO. 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 CALERO
✨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 CALERO!
✨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.
