Director, AI Execution Assurance & Operations

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary:

In this role, you will provide enterprise-wide technical leadership to integrate, assess, and optimize AI capabilities across Vizient’s AI Optimization & Delivery organization. You will translate enterprise AI priorities into an integrated capability roadmap, technical operating model, and optimization recommendations that accelerate governed AI adoption, strengthen quality and reliability, increase reuse, and improve investment efficiency. You will collaborate with senior technical and functional leaders to identify systemic gaps, evaluate emerging technologies, and deliver actionable recommendations that advance scalable, secure, and measurable AI capabilities across the enterprise.

• Develop and maintain an 18- to 24-month enterprise AI capability roadmap recommendation integrating functional priorities, technical dependencies, maturity, risks, and investment opportunities.
• Evaluate AI capabilities across engineering delivery, AI Factory, application operations, quality and reliability, tooling, automation, clinical data, and governance to identify gaps, duplication, and optimization opportunities.
• Establish cross-functional capability and ownership models that clarify decision rights, service interfaces, technical dependencies, contribution pathways, and operational handoffs.
• Analyze emerging AI technologies, platform capabilities, and engineering practices to recommend opportunities for innovation, standardization, investment, consolidation, or retirement.
• Develop organization-level maturity and performance measurement frameworks encompassing AI adoption, enterprise reuse, delivery efficiency, quality, reliability, governance, cost, and engineering experience.
• Assess production performance and operational trends to distinguish systemic capability constraints from functional delivery issues and recommend improvements to accountable leaders.
• Evaluate AI capability investments and unit economics to develop fact-based build, buy, partner, simplify, and optimization recommendations aligned with enterprise objectives.
• Define and recommend technical operating mechanisms that strengthen cross-functional collaboration, exception management, capability reviews, and production feedback loops.
• Facilitate alignment on reusable AI components, engineering patterns, evaluation frameworks, governance controls, and operational practices to reduce duplication and accelerate governed production adoption.
• Identify opportunities to improve engineering experience, capability discoverability, adoption, and cross-functional workflows while reducing rework, operational friction, and technical complexity.
• Partner with Solutions Architecture, functional AI leaders, and Technical Program Management to align capability recommendations with approved architecture, functional strategies, and execution ownership.
• Advise executive and senior technical leadership on AI capability decisions, investment tradeoffs, organizational risks, and value realization through evidence-based analysis and actionable recommendations.

• Relevant degree preferred.
• 7 or more years of relevant experience required.
• Extensive experience in software engineering, platform engineering, cloud architecture, AI/ML, or enterprise technology transformation, including senior technical…