VP, Data Products & Solutions

Compass•Dallas, TX

81d

About The Position

This is an innovator's mandate to lead and own the transformation of Compass International Holdings' proprietary data into a dual-capability product engine. This engine will power the enterprise internally and generate commercial revenue externally. The role emphasizes value engineering, ensuring every product, dashboard, API, and data experience is designed for value from the outset. The primary internal customer is the agent, and the strategy is built on earning their trust by making them better at their craft, which in turn sharpens operations, enhances market research, and builds a foundation for external commercial products. Compass guarantees that agent and client data will never be sold, shared, or exposed. This commitment is the foundation of the data strategy, enabling deeper product development for agents and creating a durable competitive advantage. The role owns the full product vision, strategy, and P&L across two portfolios: Internal Enablement (tools for FP&A, recruiting, brokerage operations, agent productivity) and External Commercial Products (monetized data pipelines via API, AI training datasets, economic research models). The goal is to deliver indispensable products for agents, convert adoption into EBITDA, and build external revenue streams, making the data estate a standalone commercial asset. This role is for individuals who have experience turning data organizations into growth engines at an industry scale.

Requirements

10+ years in Product Management, with at least 3 years in a VP or executive role leading a data product organization.
Demonstrated track record of converting a data org, analytics team, or technical cost center into a direct revenue driver.
Value Engineering Mindset: Approach product design as an act of value creation, not feature delivery; design for financial outcomes, unit economics, and operational ROI from the first whiteboard session.
Proven Visual Storytelling Mastery: A portfolio demonstrating world-class data visualization judgment.
Entrepreneurial P&L Experience Across Both Sides: Demonstrated success scaling internal productivity platforms and direct-revenue external commercial products.
Data Ethics & Agent Trust: Understand that privacy is a product principle and know how to build commercial value from aggregate intelligence while maintaining an absolute firewall around individual client and agent data.
Fluency in modern data stack architecture — Databricks, BigQuery, Kafka, dbt, API design.
Executive presence and storytelling range to brief a board of directors, pitch an institutional data buyer, and demo a visual feature to a top-producing agent.
Bachelor's or Master's in Computer Science, Economics, Business, or a related quantitative field; MBA a plus.

Nice To Haves

MBA a plus

Responsibilities

Develop and champion a compelling product vision that creates organizational clarity, generates energy, and accelerates the delivery of value across every team led.
Drive financial impact across both internal and external product lines, building high-adoption tools for agents, FP&A, recruiting, and brokerage operations, and commercializing enterprise data assets through B2B API pipelines, AI training datasets, and monetized economic research.
Instill a "Data as a Product" operating model where value creation, unit economics, and cost rationalization are architected into every solution before engineering begins.
Set an uncompromising standard for data visualization across every product surface, turning complex datasets into clean, self-explanatory visual experiences.
Maintain an unconditional firewall around individual agent and client data while leveraging aggregate platform intelligence for external products and research.
Operate as a peer to C-suite leadership, translating complex data capabilities into business strategy and representing the data product organization.
Collaborate deeply across Engineering, Finance, Operations, Marketing, and Business Unit leadership to ensure data products are embedded in business decisions.
Lead the internal marketing of the team's work, making the value creation and evolution of the data product organization visible, understood, and celebrated across the enterprise.
Recruit, develop, and lead a world-class team of product managers and product leaders, building a culture defined by user empathy, disciplined discovery, visual craft, and quantitative accountability.
Actively model and reinforce the eight Compass entrepreneurship principles.

Benefits

Participation in our incentive programs (which may include eligible cash, equity, or commissions).
Paid vacation, holidays, sick time, parental leave, and recharge leave.
Medical, tele-health, dental and vision benefits.
401(k) plan.
Flexible spending accounts (FSAs).
Commuter program.
Life and disability insurance.
Maven (a support system for new parents).
Carrot (fertility benefits).
UrbanSitter (caregiver referral network).
Employee Assistance Program.
Pet insurance.