> Markdown version of [/jobs/ext/733902-vp-enterprise-data](https://www.wearedevelopers.com/jobs/ext/733902-vp-enterprise-data). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # VP, Enterprise Data - **Company:** Invitation Homes - **Location:** Dallas, TX, United States - **Experience:** Expert - **Salary:** $177,825.0 - $308,230.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Confluence, JIRA, Information Systems, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Executive Information Systems, Metadata, Microsoft Office, Systems Development Life Cycle, Release Management, Tableau (Software), Enterprise Data Management, Snowflake, Technical Debt, Data Strategy, Data Lakes, Information Technology, Data Management, Data Pipelines - **Published:** June 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=7c15ca5d11cfeff0 ## About the Role Do you have experience in Vendor relationship management?, Do you have a Bachelor's degree?, * Bachelor's 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: real estate, SFR, multifamily, finance, hospitality, or retail industry experience Technical Knowledge * Modern data platforms and architecture: Data Lakes, EDW, data modeling, ETL/ELT, and BI solutions * Strong Snowflake experience (architecture, optimization, governance); 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 Leadership & Skills * Exceptional executive presence; ability to communicate complex data concepts to C-suite, board, and non-technical audiences * Outcome-oriented servant leader with outstanding storytelling and the ability to translate technical strategy into business value * Strong strategic thinker who balances long-term vision with near-term execution; proven ability to influence across a matrixed organization * Proficiency with Jira, Confluence, and Microsoft Office suite Preferred Certifications * Formal training or certifications in data management, data science, analytics, or AI (e.g., Snowflake, Tableau, dbt) Physical and Mental Demands This position will spend long hours sitting and using office equipment and computers. The position may also require occasional lifting of supplies and materials, up to 20 pounds, in addition to reaching, stooping, standing, and walking. This position requires the ability to speak, listen, compare, compute, compile, copy, analyze, coordinate, synthesize, negotiate, and communicate effectively. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions. ## Description 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., * 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 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 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 d Services * Build and maintain strong relationships with analytics, data science, and senior leaders across all business functions Strategy & Prioritization * Define and own the multi-year the 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 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 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 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Why Attend a Developer Event in 2026?](https://www.wearedevelopers.com/magazine/688-why-attend-a-developer-event-in-2026) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)