Enterprise Data Product Lead

About the Role

As a CBRE Enterprise Data Product Lead, you will own and drive the full lifecycle of enterprise data products from strategy through scaled adoption to enable data-driven decision-making across the organization. You will serve as the connective tissue between technical data teams and business stakeholders, translating complex data capabilities into scalable, high-value products across segments and corporate functions including Investment, Leasing, Operations, and Finance.

This job is part of the Data Science & Analytics job function. You will be responsible for defining and delivering data products that improve organizational effectiveness, enable self-service analytics, and support predictive and prescriptive business intelligence at scale leveraging modern platforms including cloud data warehouses, AI tooling, and enterprise governance frameworks.

• Define and own the enterprise data product vision, strategy, and roadmap in alignment with business priorities.
• Lead cross-functional collaboration with data, engineering and business stakeholders to deliver high-quality, reliable data products at enterprise scale.
• Apply in-depth knowledge of modern data platforms including Snowflake, Reltio, cloud platforms, data governance tooling (Collibra, Alation), and BI tools (Power BI, Tableau) to guide architectural and technology decisions.
• Champion a data-as-a-product mindset across the organization, driving cultural and operational change to treat data with the same rigor as software products.
• Act as the primary product owner for enterprise data assets, managing the full product lifecycle from discovery and design through delivery, adoption, and iteration across complex, multi-platform, fragmented environments.
• Establish and enforce data product standards, including data contracts, SLAs, data quality frameworks, and publication practices.
• Accelerate time-to-market for data products using AI (e.g., Cursor, Claude Code, Microsoft Copilot) to accelerate delivery.
• Lead build-out of high-impact data products to deliver measurable business value.
• Oversee the development of self-service data platforms to democratize access to trusted data across business units.
• Lead cloud-based Master Data Management design and implementation, including integration with enterprise systems like CRM (Salesforce), Financial systems.
• Partner with data governance teams to ensure enterprise data products meet compliance, privacy, and security requirements.
• Define and monitor key performance indicators (KPIs) for data product adoption, quality, and business impact.
• Direct the resolution of complex data product challenges like data quality, integration and adoption barriers through advanced critical thinking.
• Lead and mentor a team of data product managers, providing guidance on prioritization, stakeholder engagement, and delivery execution.
• Negotiate with senior business and function leads to reach agreement on data product strategy, investment, and priorities.
• Lead by example and model behaviors consistent with CBRE RISE values.

• Bachelor’s Degree preferred (e.g., Engineering or Technology) with 15 years of relevant experience in data management, analytics, or technology product management. In lieu of a degree, a combination of experience and education will be considered.
• Demonstrated experience establishing and scaling enterprise data products from the ground up, including prioritization, design, development, launch, and support.
• Proven track record delivering measurable business value through data products across large, complex enterprises.
• Cross-sector experience is strongly preferred.
• Deep hands‑on experience with modern data stack technologies: cloud data warehouses and lakes (Snowflake, Azure, AWS), cloud data integration tools, and BI/analytics tools (Power BI, Tableau).
• Experience with AI/GenAI tools and platforms (e.g., Claude, Cursor, Microsoft Copilot) to accelerate data product delivery and enable intelligent analytics.
• Proficiency with data governance and MDM platforms (Collibra, Reltio) and familiarity with regulatory compliance requirements in enterprise data contexts.
• Experience working across…