VP, Enterprise Data

About the role

Invitation Homes is seeking a Vice President of Enterprise Data to lead and unify the Enterprise Data organization. This executive will oversee Product Strategy, Product Management and Product Ownership, Engineering and Architecture, aligning data strategy with business objectives, championing data governance, and ensuring data platforms deliver measurable value. The VP will serve as the primary executive voice for Enterprise Data, communicating strategy, progress, and priorities to C‑suite and board audiences while building a high‑performing team culture.

Responsibilities

• Team Leadership & Organizational Development: Report to the Head of Technology; provide executive leadership over the Enterprise Data organization, including Directors of Data Product and Data Engineering & Architecture; build and lead a high‑performing team of 30+ data professionals across product management, product ownership, and engineering; foster a culture of accountability, innovation, and servant leadership; drive career development, succession planning, and talent acquisition; champion cross‑functional collaboration.
• Executive Communication & Stakeholder Management: 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; collaborate with heads of Engineering, Product, ePMO, Security, Infrastructure, and Shared Services; build relationships with analytics, data science, and senior leaders across business functions.
• Strategy & Prioritization: Define and own the multi‑year Enterprise Data team strategy aligned with the company’s 3‑year plan, annual priorities, and technology roadmap; lead portfolio‑level prioritization across data product and engineering workstreams, 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.
• Data Governance & Compliance: Establish an enterprise‑wide data governance framework covering data quality, lineage, catalog, metadata, master data management, and access controls; partner with Internal Audit, Legal, Risk, and Security to ensure SOX compliance, CCPA, and enterprise security standards; own technology data standards, policies, and SLAs; ensure appropriate controls and audit trails.
• Operational Excellence & Delivery: 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.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Business Administration, or equivalent experience.
• 15+ years progressive experience in data management, engineering, product management, and/or enterprise analytics.
• 8+ years in senior leadership managing directors, senior managers, and large cross‑functional teams (30+ people).
• Track record building and scaling enterprise data organizations in publicly traded companies with SOX compliance.
• Experience managing multi‑million‑dollar technology budgets and vendor relationships.
• Preferred industry experience: real estate, single‑family rentals, multifamily, finance, hospitality, or retail.
• Technical knowledge of modern data platforms and architecture (Data Lakes, EDW, data modeling, ETL/ELT, BI), strong Snowflake experience, hands‑on Tableau familiarity, data orchestration, observability, catalog, lineage, quality, and security tooling, Data‑as‑Code practices, CI/CD for data pipelines, and modern SDLC methodologies.
• Knowledge of CCPA, SOX, and applicable data protection regulations.
• Exceptional executive presence and ability to communicate complex data concepts to C‑suite, board, and non‑technical audiences.
• Outcome‑oriented servant leader with strong storytelling, strategic thinking, and influence across a matrixed organization.
• Proficiency with Jira, Confluence, and Microsoft Office suite.
• Preferred certifications in data management, data science, analytics, or AI (e.g., Snowflake, Tableau, dbt).
• Physical and mental demands: long hours sitting, occasional lifting up to 20 lb, and ability to speak, listen, compute, analyze, negotiate, and communicate effectively.
• Work environment: standard office setting, busy and noisy at times; in‑office at least three days a week; occasional travel up to eight trips per year.

Benefits

• Competitive pay with an annual discretionary bonus program.
• Health, dental, vision, and life insurance.
• Long‑term and short‑term disability insurance.
• Generous paid time off including vacation accrual, sick time, volunteer time, standard and floating holidays.
• 401(k) with company matching contributions.
• Casual dress code and an awesome work environment.
• Team events and gatherings (pre‑ and post‑COVID).
• Employee resource groups: Women, Asian Alliance, Black Collective, Juntos, Gen Next, and Open Invitation.

Compensation

The salary range for this position is $177,825.00 – $308,230.00, plus eligibility for an annual discretionary bonus. Actual compensation will depend on skills, experience, qualifications, location, and applicable employment laws.

Schedule

Standard office working environment with a requirement to be in the office at least three days per week. Occasional travel up to eight trips per year.