SVP Enterprise Data and Analytics

Explore opportunities with Home Office, a part of LHC Group, a leading post-acute care partner for hospitals, physicians and families nationwide. As members of the Optum family of businesses, we are dedicated to helping people feel their best, including our team members who create meaningful connections with patients, their families, each other and the communities we serve. Find a home for your career here.

Join us and embrace a culture of Caring. Connecting. Growing together.

Optum Home & Community Care Delivery (H&CCD) - the combined LHC Group and Amedisys enterprise operating under United Health Group's Optum platform - is seeking a Senior Vice President, Data & Analytics to lead the unification, governance, and strategic deployment of analytics across one of the largest home health and hospice organizations in the United States. This is a newly created role that sits at the intersection of integration execution and enterprise analytics transformation, reporting directly to the Chief Strategy & Development Officer.

The SVP will inherit a solid foundation of analytics talent and capability across two industry-leading organizations and will be charged with leveraging those existing resources to build a fully integrated, world-class analytics function - one that establishes unified governance, resolves legacy system complexity, and positions H&CCD to operate as a data-driven enterprise s role carries enterprise authority and C-suite visibility from Day.

• Analytics Strategy & Enterprise Leadership
  • Develop and execute an enterprise-wide data and analytics strategy aligned to H&CCD's clinical, operational, financial, and strategic objectives within the Optum ecosystem
  • Serve as the primary analytics thought leader and executive sponsor for data-driven decision-making across the combined organization
  • Represent H&CCD analytics interests within Optum, managing upstream reporting requirements and parent organization integration expectations
  • Chair or co-chair the Data Governance Steering Committee, with accountability for enterprise analytics prioritization and resource allocation
  • Champion analytics literacy across all levels of leadership, fostering a culture where data informs every significant business decision
• Data Governance & Single Source of Truth
  • Resolve legacy definition conflicts between LHC and Amedisys data environments as the foundational integration deliverable - establishing agreed-upon definitions for clinical, operational, and financial metrics across the combined enterprise
  • Align consistent metrics and performance definitions across all operational units, ensuring clear metric accountability across clinical, financial, and operational business domains
  • Establish and enforce enterprise-wide data governance frameworks - data ownership, quality standards, and governance policies ensuring data is accurate, accessible, and used consistently
  • Drive creation of a single source of truth for critical data domains including clinical outcomes, operational performance, managed care contracting, and revenue cycle.
    Implement master data management strategy and data lifecycle policies consistent with HIPAA, CMS regulatory requirements, and Optum standards
• Analytics Organization Design & Talent
  • Assess, stabilize, and develop analytics talent across both legacy organizations - addressing leveling disparities, attrition risk, and institutional knowledge concentration as an immediate priority
  • Build and lead a centralized analytics organization encompassing enterprise BI & reporting, data science, core technical capability, and Optum integration reporting
  • As data governance, metric definitions, and data use consistency mature across the enterprise, establish the governance model for business analyst roles embedded within clinical, operational, managed care, and financial business units - evolving toward a hub-and-spoke accountability structure that balances central standards with functional responsiveness
  • Attract and develop senior analytics leadership capable of operating in a complex, matrixed, Optum-aligned healthcare environment
• Platform Execution & Data Architecture
  • Lead and accelerate the active enterprise migration from Micro Strategy to Power BI - consolidating reporting operations, driving self-service adoption across business units, and maximizing platform analytical capability in the near term
  • Retain strategic flexibility to evaluate and evolve the analytics platform as the organization's AI/ML integration demands and enterprise maturity develop over time
  • Define and own the enterprise data architecture: cloud strategy, data warehouse, data engineering pipelines, and technical infrastructure required to support analytics at scale
  • Partner with the Chief Information Officer on technology roadmap alignment and the boundary between IT infrastructure and analytics capability
  • Govern the responsible development and deployment of AI/ML and generative AI capabilities in alignment with Optum standards and enterprise…