VP, Data Products & Solutions

About the Role

This is not a maintenance role. It is an innovator's mandate.

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 — and 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.

If you've spent your career turning data organizations from cost centers into growth engines — and you want to do it at the scale of an industry — this is the role.

What You'll Own

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 while leveraging aggregate platform intelligence to power external products and industry-defining research. Understand that this distinction is not a l