Principal Technical Program Manager (AI)

At Claritev, we pride ourselves on being a dynamic team of innovative professionals.

Our purpose is simple - we strive to bend the cost curve in healthcare for all.

Our dedication to service excellence extends to all our stakeholders -- internal and external - driving us to consistently exceed expectations.

We are intentionally bold, we foster innovation, we nurture accountability, we champion diversity, and empower each other to illuminate our collective potential.

Be part of our amazing transformational journey as we optimize the opportunity towards becoming a leading technology, data, and innovation voice in healthcare.

Onward and Upward! JOB SUMMARY The Principal AI Program Manager is responsible for defining and leading the delivery strategy and execution portfolio for complex, cross-functional Generative AI, Agentic AI, and AI/ML initiatives within assigned solution areas or business units as part of the Core AI organization.

This role requires a strategic thinker with strong technical acumen, exceptional communication skills, and the ability to influence stakeholders across business, product, engineering, and data science organizations.

The role serves as the primary AI delivery partner to business leadership, ensuring AI investments are aligned with enterprise priorities and deliver measurable business outcomes.

This position works closely with engineering, product, data, and business teams to drive the successful delivery and adoption of high-impact AI solutions.

JOB ROLES AND RESPONSIBILITIES Own the end-to-end AI program portfolio for an assigned solution area or business unit, from intake and prioritization through production monitoring, and measurable business outcomes.

Serve as the primary AI delivery partner to solution area or business unit leadership, translating business priorities into program roadmaps, resource allocation decisions, and execution plans.

Ensure AI solutions are validated for accuracy, quality, compliance, and business value before and after integration into production environments.

Partner with AI/ML scientists, data engineers, analysts, product leaders, engineering teams, and business stakeholders to align on strategy, priorities, timelines, dependencies, and delivery outcomes.

Serve as the central point of coordination for AI delivery efforts, proactively identifying, managing, and resolving portfolio risks, dependencies, and blockers.