VP-Engineering & AI-Health Plan
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About the role
Presbyterian Health Services (PHS) seeks a forward-thinking, results-driven executive to serve as Vice President of Engineering & Artificial Intelligence for Presbyterian Health Plan (PHP). This is a rare opportunity to shape the future of healthcare delivery through modern engineering and AI at enterprise scale. As healthcare rapidly evolves toward digital-first, data-driven models, PHS is investing in advanced engineering platforms and AI-enabled capabilities to create a more connected, personalized, and efficient experience for members and patients. The Vice President will play a pivotal role in defining and executing this transformation-translating emerging technologies into tangible business and clinical outcomes. This executive will operate at the intersection of strategy and execution-aligning enterprise priorities with scalable platforms, building high-performing leadership teams, and ensuring disciplined delivery in a complex, regulated environment. As a trusted advisor to senior leadership, this leader will influence long-term technology investment, innovation strategy, and risk posture. The ideal candidate is both a visionary and an operator-someone who can inspire teams, partner across the enterprise, and deliver measurable impact through engineering and AI innovation. Work Arrangement - Remote: Open to applicants in the United States, excluding CA, IL, ND, NY, OH, WA, and WY. - Hybrid: For individuals within 60 miles of Albuquerque, in-office presence is required Tuesday through Thursday. Job Description: Strategy & Transformation Leadership Enterprise Alignment: Define and execute the PHP engineering and AI strategy, aligning investments with business priorities and long-term growth objectives. AI Roadmap Ownership: Establish and evolve the AI strategy, including model development, deployment, lifecycle management, and performance evaluation. Innovation Leadership: Identify and scale high-value AI and digital capabilities that improve operational efficiency, member experience, and clinical outcomes. Engineering & AI Platform Excellence Architecture & Delivery: Own the design, delivery, and performance of core engineering platforms and AI systems. Scalability & Reliability: Establish modern, cloud-based, and distributed architectures that ensure resilience, scalability, and security. Operational Discipline: Drive excellence in engineering practices, delivery frameworks, and continuous improvement methodologies. Responsible AI & Governance Risk & Compliance: Lead responsible AI practices, ensuring adherence to governance, privacy, security, and regulatory requirements. Enterprise Standards: Establish frameworks for AI ethics, model transparency, monitoring, and lifecycle governance. Organizational Leadership Talent Strategy: Build, mentor, and scale a high-performing leadership team across engineering and AI disciplines. Operating Model: Define and continuously improve the engineering and AI operating model to enhance speed, quality, and cross-functional collaboration. Culture: Foster a culture of innovation, accountability, inclusion, and technical excellence. Business Partnership & Executive Influence Cross-Functional Collaboration: Partner with Product, Data, Security, and Business leaders to prioritize initiatives with measurable impact. Executive Communication: Translate technical strategies into clear executive-level insights, metrics, and decision frameworks. Financial Stewardship: Own budgeting, workforce planning, vendor strategy, and investment optimization. Success Measures Within the first 12-24 months, the Vice President will: Establish Strategic Clarity: Deliver a clear, actionable multi-year engineering and AI roadmap aligned to enterprise priorities. Accelerate Value Delivery: Demonstrate measurable business outcomes from AI and digital platform investments. Strengthen Platforms: Modernize and scale core engineering platforms to improve reliability, speed, and security. Build Leadership Depth: Recruit, develop, and retain a high-performing, diverse leadership team. Enhance Operating Effectiveness: Improve delivery predictability, cross-functional alignment, and organizational agility. Strategy & Transformation Leadership Enterprise Alignment: Define and execute the PHP engineering and AI strategy, aligning investments with business priorities and long-term growth objectives. AI Roadmap Ownership: Establish and evolve the AI strategy, including model development, deployment, lifecycle management, and performance evaluation. Innovation Leadership: Identify and scale high-value AI and digital capabilities that improve operational efficiency, member experience, and clinical outcomes. Engineering & AI Platform Excellence Architecture & Delivery: Own the design, delivery, and performance of core engineering platforms and AI systems. Scalability & Reliability: Establish modern, cloud-b
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Additional Information
Location Address: 9521 San Mateo NE Albuquerque, NM 87113-2237
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