Data Product Manager

Who We Are

Invitation Homes is a fast-paced evolving publicly traded REIT that is pioneering a new industry with over 110,000 single family rental homes and a market capitalization of over $25 billion. We are a team of more than 1,600 associates who come from all walks of life. We call different communities “home,” but our shared values bind us together. Invitation Homes is a place where possibility lives.

The Enterprise Data Product Manager is responsible for defining, delivering, and scaling data products that power analytics, operational reporting, and enterprise decision making. This role sits at the intersection of business, data engineering, and product management, driving the evolution of our enterprise data platform and ensuring that high-quality, governed data is available to support key functions across the organization. You will develop a deep understanding of our business model, operational processes, and data ecosystem, and use that knowledge to build products that improve efficiency, reduce manual effort, and unlock self‑service insights for stakeholders.

You will partner closely with data engineers, analytics engineers, architects, and functional leaders across leasing, marketing, maintenance, finance, legal, compliance, investments, and investor relations. The Enterprise Data Product Manager ensures we deliver the right data product at the right time, balancing cost, risk, speed, and long‑term scalability.

• Partner with the Senior Manager, Product to develop and maintain product roadmaps for enterprise data products aligned to the approved data strategy.
• Define the vision, outcomes, and success metrics for new data capabilities and improve existing products throughout their lifecycle.
• Identify opportunities to automate reporting, enhance data quality, reduce operational friction, and expand self‑service analytics.

• Build strong, collaborative relationships with business partners and senior leaders across all functional areas.
• Translate business needs into clear, actionable product requirements, user stories, and acceptance criteria for engineering teams.

• Build and prioritize product backlogs using customer research, data insights, and engineering constraints.
• Work closely with data engineering and analytics engineering to understand system integrations, data models, ETL and ELT pipelines, and semantic layers.
• Manage scope, risks, and delivery tradeoffs while maintaining transparency with stakeholders.
• Drive continuous improvement by defining MVPs, focusing on key milestones, and executing fast‑follow releases.
• Validate completed stories, prepare the backlog for upcoming sprints, and lead product review sessions.

• Develop strong working knowledge of the enterprise data architecture, data domains, and operational systems impacted by new product work.
• Understand modern data stack components such as Snowflake, dbt, orchestration tools, and API integration patterns, and how they support scalable data products.
• Create wireframes, dashboard layouts, data flow concepts, or mock reports to support solution design.
• Partner with legal, risk, and security teams to ensure compliance and data governance requirements are met.

• Monitor product performance, user engagement, and data quality, and proactively identify enhancements or decommissioning opportunities.
• Ensure timely resolution of technical and business issues.

• Bachelor’s degree or equivalent experience required.
• 2 or more years of product management or software development experience, ideally supporting data, analytics, or platform products.
• Experience with Data and Analytics, data engineering workflows, or modern data platforms preferred.
• Experience in real estate, financial operations, or technology industries is a plus.

• Familiarity with modern data warehouse and analytics stacks such as Snowflake, Big Query, dbt, or Airflow.
• Understanding of ETL and ELT patterns, data modeling concepts, and API or…