At a Glance
- Tasks: Lead the transformation of data into powerful products that drive real estate innovation.
- Company: Join Compass International Holdings, a leader in real estate technology.
- Benefits: Competitive salary, leadership opportunities, and a chance to shape the future of data products.
- Other info: Be part of a dynamic team focused on trust, ethics, and excellence.
- Why this job: Make a significant impact by creating tools that empower agents and generate revenue.
- Qualifications: Proven experience in product leadership and data strategy.
The predicted salary is between 81000 - 99000 £ per year.
We are looking for a Vice President of Data Products & Solutions to lead — and own — one of the most consequential transformations in real estate: converting Compass International Holdings’ unmatched proprietary data estate into a dual-capability product engine — one that powers the enterprise from the inside and generates commercial revenue from the outside. You and your team will hold that mandate end to end.
At the center of this mandate is a deliberate philosophy: value engineering. Every product, dashboard, API, and data experience we build must have value designed into it from the ground up — not audited for value after launch. Our primary internal customer is the agent. When we earn their trust by making them demonstrably better at their craft, that excellence compounds: internal operations sharpen, our economic and market research gains authority, and the foundation for external commercial products becomes undeniable. This flywheel runs on trust.
Compass makes an unconditional commitment to our agents: their client data and sensitive business information will never be sold, shared, or exposed — to competitors, third parties, or commercial buyers. That promise is not a constraint on our data strategy. It is the foundation of it. Agents who trust us with their most sensitive relationships give us permission to build more deeply for them — and that depth is what creates durable competitive advantage.
You will own the full product vision, strategy, and P&L across two distinct portfolios:
- Internal Enablement — tools that fuel FP&A, recruiting, brokerage operations, and agent productivity.
- External Commercial Products — monetized data pipelines via API for institutional buyers and hedge funds, proprietary AI training datasets, and authoritative economic research models.
Your mandate is direct: deliver world-class product experiences that agents cannot live without, and convert that adoption into measurable EBITDA contribution while building external revenue streams that make our data estate a standalone commercial asset.
Product Vision & Change Leadership: Develop and champion a compelling product vision that creates organizational clarity, generates energy, and accelerates the delivery of value across every team you lead. This vision is not a slide deck — it is the engine of change management. As we transform a traditional data organization into one that is genuinely product- and value-focused, your vision will be the north star that aligns technical teams, earns executive confidence, and gives every individual contributor a reason to build differently than they did before.
Dual-Portfolio P&L & Monetization: Drive financial impact across both internal and external product lines.
- Internal: Build high-adoption tools for agents, FP&A, recruiting, and brokerage operations that sharpen enterprise execution and reduce operational cost.
- External: Commercialize enterprise data assets through B2B API pipelines for institutional buyers, structured AI training datasets, and monetized economic research — turning proprietary signals into direct revenue.
Value Engineering & Product Transformation: Instill a “Data as a Product” operating model where value creation, unit economics, and cost rationalization are architected into every solution before engineering begins — shifting the culture permanently from ticket-driven execution to outcome-driven product thinking.
Silent Storytelling & UX Excellence: Set an uncompromising standard for data visualization across every product surface. Turn complex, high-volume datasets into clean, self-explanatory visual experiences that deliver instant clarity to boardroom executives, top-producing agents, and institutional buyers alike — insights that tell their story without requiring a user manual.
Data Ethics & Agent Trust: Maintain an unconditional firewall around individual agent and client data.
Vice President of Data Products & Solutions employer: Compass
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StudySmarter Expert Advice🤫
We think this is how you could land Vice President of Data Products & Solutions
✨Get Involved in Data Science Meetups
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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 Compass.
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When you find a suitable opening like Vice President of Data Products & Solutions at Compass, 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 Vice President of Data Products & Solutions
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 Compass, 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 Compass. 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 Compass
✨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 Compass!
✨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.