VP, Enterprise Data
Listed on 2026-07-05
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IT/Tech
IT Project Manager, Data Science Manager -
Management
Program / Project Manager, IT Project Manager, Data Science Manager
Who We Are
Invitation Homes is a fast-paced, evolving publicly traded REIT that is pioneering a new industry with over 100,000 single-family rental homes and a market capitalization of over $16 billion. We are a team of more than 1,500 associates 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.
We are seeking a Vice President of Enterprise Data to lead and unify our Enterprise Data organization. This executive will oversee Product Strategy, Product Management and Product Ownership, Engineering and Architecture, bringing strategic vision, operational excellence, and strong leadership to a function central to how we acquire, operate, and grow our business. The VP will be responsible for aligning data strategy with business objectives, championing data governance across the enterprise, and ensuring our data platforms deliver measurable value to stakeholders at every level of the organization.
This leader will serve as the primary executive voice for Enterprise Data, communicating strategy, progress, and priorities to the C-suite and board-level audiences. They will build a high-performing team culture while driving the prioritization and delivery of data capabilities that support both real-time operations and long-term strategic planning.
Invitation Homes does not offer employment-based visa sponsorship for this role at this time.
What You’llDo Team Leadership & Organizational Development- Report to the Head of Technology and provide executive leadership over the Enterprise Data organization, including Directors of Data Product and Data Engineering & Architecture
- Build and lead a high-performing organization of 30+ data professionals (onshore, nearshore, offshore) across product management, product ownership, and engineering
- Foster a culture of accountability, innovation, and servant leadership; drive career development, succession planning, and talent acquisition to scale the organization
- Champion cross-functional collaboration between data teams, the broader Technology org, business stakeholders, and executive leadership
- Serve as the primary executive liaison for the Enterprise Data team, communicating strategy, progress, risks, and outcomes to the HoT, CIO, CFO, and C-suite
- Develop board-ready materials, executive dashboards, and strategic updates that translate complex technology data initiatives into clear business impact
- Collaborate as part of the Technology Leadership Team with heads of Engineering, Product, ePMO, Security, Infrastructure, and Shared Services
- Build and maintain strong relationships with analytics, data science, and senior leaders across all business functions
- Define and own the multi-year Enterprise Data team strategy aligned with the company’s 3-year strategic plan, annual priorities, and technology roadmap
- Lead portfolio-level prioritization across data product and engineering work streams, balancing feature development, tech debt, modernization, compliance, and cost optimization
- Evaluate the data technology landscape and make strategic investment decisions on platforms, tools, and vendor partnerships
- Establish an enterprise-wide data governance framework encompassing data quality, lineage, catalog, metadata, master data management, and access controls
- Partner with Internal Audit, Legal, Risk, and Security to ensure SOX compliance, data protection regulations (CCPA), and enterprise security standards
- Own technology data standards, policies, and SLAs; ensure appropriate controls and audit trails to support the company’s risk profile as a publicly traded REIT
- Oversee end-to-end delivery of data products, platforms, and engineering solutions with high quality, on-time delivery, and measurable business outcomes
- Drive SDLC, CI/CD, change management, and release management best practices; ensure platform reliability, performance, and cost efficiency
- Manage the data technology budget, vendor relationships, and resource allocation to maximize ROI
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