VP, Affiliates Technology Services

The Vice President, Data & Analytics, AI/ML Technologies & Corporate IT provides unified executive leadership across affiliates enterprise data, artificial intelligence, and corporate IT functions serving its RHOs. Reporting to SVP, Affiliate Strategy and Services, this role sets and executes the strategy, architecture, and multi-year roadmap for the federated data platform, the enterprise AI/ML portfolio, and shared corporate IT services. The role ensures affiliates foster and accelerates the adoption of AI use cases, TCOC models, insights from aggregated data across diverse, pluralistic, community-based health systems nationwide by delivering organization-agnostic, bi-directional solutions that can be deployed at both the affiliates enterprise level and the local affiliate level. The incumbent ensures alignment of all technology, development, and third-party products with enterprise architecture, standards, security, and design principles. As a member of the EBS/IT senior leadership team, and as a peer to the VP, EBS/IT and Value-based Platform, the incumbent serves as the senior technology counterpart to RHO Chief Data Officers, CTOs, and senior business leaders; leads the technology workstream for affiliate onboarding and M&A activity; and ensures all three pillars operate to common standards, governance, and design principles.

Strategic Leadership Vision & roadmap - This role provides visionary leadership for data, analytics, AI, and corporate IT solutions, sets high delivery and quality goals; promotes innovation in emerging technologies; and create a joint multi-year technology roadmap aligned to affiliate and KP IT strategies and business value. Stakeholder Engagement: Effective stakeholder engagement is essential. The VP consistently works with other departments to understand their needs and align support technical and engineering services with organizational goals. The VP communicates clearly with stakeholders and collaborates to develop a multi-year strategy that aligns with broader organizational objectives. They gather feedback to ensure they can meet expectations and contribute to the affiliates overall success. Enterprise alignment - Ensure alignment of all technology, development, and third-party products with enterprise architecture, security, standards, and design principles. Data & Analytics Enterprise data platform - Own the design, development, and management of the Data Intelligence & Analytics Platform (Innovaccer) and the enterprise data strategy across affiliates. Federated data architecture - Lead a federated data architecture (medallion / Delta Share) enabling secure, governed data sharing across RHOs while respecting local data sovereignty. Data governance - Establish and operate enterprise data governance - governance council, policies and standards, stewardship, critical-data-element definitions, and PHI/PII and regulatory controls. Analytics-product alignment - Partner with VBP Product Engineering to align analytics roadmaps, data models, and reporting with the expanding Value-Based Platform portfolio and value-based care measurement needs. RHO data alignment - Influence and align RHO data executives (Chief Data Officers, Executive Directors of Data, VPs of Data & Analytics) on shared definitions, interoperable architecture, and consistent data strategy. AI / ML Technologies Enterprise AI portfolio - Own the affiliates AI portfolio and strategy across the AI Orchestration Platform, Shared Intelligence Platform, and Epic AI Playbooks. Vision & guiding principles - Define the vision, goals, and guiding principles for AI/ML solutions and advanced-technology enablement across affiliates. AI/ML governance - Establish and operate AI/ML governance - model risk, responsible/ethical AI, evaluation and monitoring, and vendor AI assessment - in partnership with clinical, privacy, security, and legal leaders. Solution delivery - Guide, propose, and deliver AI