Director, Artificial Intelligence Enablement

Director, Artificial Intelligence Enablement

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The Director of Artificial Intelligence Enablement serves as the driver for internal AI usage and knowledge development in the advancement of the NCQA mission and organizational strategic priorities. This role is responsible for reviewing, prioritizing, promoting, and managing strategic AI-enabled solutions, capabilities, and processes to produce internal efficiencies across the enterprise and leading the maturity of NCQA’s AI-enabled workforce.

• Evaluate and prioritize internal efficiency and future capability opportunities in alignment with organization strategic direction.
• Support AI pilot/project teams to define ROI metrics, outcomes evaluation frameworks, and organizational standards for responsible and effective AI implementations.
• Develop best-practice implementation playbooks for AI-enabled process optimization and capability development across the organization.
• Provide management oversight (in partnership with department Executive) over all internal AI-related projects.
• Drive reporting on internal productivity efficiency gains.
• Shape and operationalize enterprise AI programs, ensuring ROI and business impact.
• Design and operationalize agentic AI solutions to automate research, reasoning, planning, content management, product and customer operations, and decision-making tasks.
• Lead development and delivery of complex AI strategies that enhance business effectiveness and efficiency.
• Provide financial ownership over AI-related investments (Cap Ex and OpEx) including ongoing planning and reporting.

• Develop content (or evaluate external content offerings) for internal training and workshops to increase AI literacy.
• Develop and guide workforce development strategy in partnership with HR.
• Coach and enable teams on best practices for leveraging AI, including successful pilot planning, and ongoing production monitoring and outcomes evaluation.
• Facilitate workshops and enablement sessions.

• Ensure teams are ready to present internal efficiency review opportunities, using a consistent business case framework.
• Evaluate internal efficiency opportunities with competency center members.
• Evangelize and monitor adherence to best-practice implementation playbooks. This includes coaching and re-calibration related management ownership.
• Drive consensus on internal AI tools and usage policy and procedure development.
• Serve as a functional consultant and business analyst specializing in AI applications.
• Develop reusable delivery assets and accelerators for project teams.
• Collaborate to create proofs of concept (POCs) and points of view (POVs) that expand the use of AI across NCQA.

• Cultivate understanding of industry developments and trends for AI.
• Internal efficiency opportunities for NCQA.
• NCQA customer utilization of AI in health care environment.
• Competitor offerings competing with NCQA offerings.
• Disseminate relevant industry trends and evolution with NCQA staff.
• Provide thought leadership and define best practices for integrating AI within various ecosystems.
• Partner with marketing to create customer stories showcasing AI success.

• Bachelor’s degree in relevant field. Master’s degree preferred.
• 3+ years project management experience.
• 2+ years subject matter AI/ML experience with at least 1 year of implementation experience with Agentic AI solutions and at least 2 years of implementation experience with traditional deterministic AI solutions.
• Practical experience with strategic planning and implementation of AI pilots and production solutions.
• Management experience in coordinating cross-functional teams to implement AI solutions in business process and operations.
• Experience in coaching teams (including ownership of organization methods/practices/procedures) on AI-enabled process optimization and capability development.
• Analytical skills.
• Ability to translate complex AI concepts into actionable strategies for…