Executive Director AI Engineering and Process Automation

Presbyterian Healthcare Services

4d•Hybrid

About The Position

Presbyterian Health Plan (PHP) seeks a visionary technology executive to serve as its next Executive Director of AI Engineering & Process Automation. This highly strategic leadership role will define and operationalize the future of artificial intelligence, intelligent automation, and digital transformation across the Health Plan. As healthcare organizations face mounting pressure to improve efficiency, reduce administrative burden, accelerate decision-making, and enhance member and provider experiences, Presbyterian is making significant investments in AI and automation capabilities. The Executive Director will lead the strategy, engineering delivery, governance, and adoption of enterprise AI and automation solutions that drive measurable clinical, operational, financial, and customer experience outcomes. This executive will build and lead a multidisciplinary team responsible for delivering secure, compliant, and scalable automation and AI capabilities, including robotic process automation (RPA), machine learning, workflow automation, predictive analytics, and generative AI solutions. Working closely with operational leaders across Claims, Prior Authorization, Utilization Management, Provider Operations, Enrollment, Finance, Care Management, and Member Services, the Executive Director will identify and prioritize transformation opportunities and ensure successful adoption from concept through enterprise deployment. The ideal candidate is a transformational technology leader who combines deep engineering expertise with strong business acumen and a proven track record of delivering AI and automation solutions at scale.

Requirements

12+ years of progressive technology leadership experience in software engineering, AI, automation, digital transformation, or enterprise technology delivery.
7+ years leading managers, technical leaders, and enterprise-scale technology programs.
Demonstrated executive accountability for AI, automation, engineering, or digital transformation initiatives.
Proven success building and scaling high-performing engineering, AI, or automation organizations.
Experience influencing executive stakeholders and leading enterprise transformation initiatives.
Demonstrated track record establishing strategy and governance while delivering measurable business outcomes.

Responsibilities

Develop and execute the Health Plan's AI and automation strategy, aligning investments with organizational priorities and measurable business outcomes.
Establish a multi-year roadmap for AI, machine learning, generative AI, workflow automation, and robotic process automation (RPA).
Identify opportunities to improve administrative efficiency, operational performance, member experience, provider experience, and cost management through intelligent automation.
Prioritize initiatives based on business value, implementation complexity, risk, and return on investment.
Serve as a strategic advisor to executive leadership regarding emerging AI technologies, market trends, and innovation opportunities.
Lead the design, development, deployment, and scaling of production-ready AI and automation solutions.
Oversee implementation of automation and AI initiatives across Claims, Prior Authorization, Utilization Management, Provider Operations, Finance, Enrollment, Care Management, Encounters, and Member Services.
Establish engineering standards, development methodologies, and quality controls that ensure scalable and sustainable delivery.
Create repeatable frameworks for evaluating, testing, and operationalizing emerging technologies.
Define enterprise architecture standards supporting AI and automation initiatives.
Establish integration patterns, APIs, data pipelines, orchestration frameworks, observability capabilities, and resiliency standards.
Lead platform evaluation, selection, implementation, and lifecycle management activities.
Ensure alignment with enterprise technology strategy and long-term scalability goals.
Establish enterprise governance frameworks for responsible AI usage.
Ensure compliance with HIPAA, privacy regulations, security requirements, and organizational policies.
Implement controls supporting explainability, auditability, model lifecycle management, drift monitoring, and bias mitigation.
Partner with Compliance, Legal, Risk Management, Privacy, and Security teams to maintain appropriate oversight.
Establish operational support models for AI and automation solutions, including SLAs, incident management, monitoring, release governance, and continuous improvement.
Develop performance dashboards and executive reporting frameworks.
Measure and communicate business outcomes associated with AI investments.
Drive optimization and continuous improvement of deployed solutions.
Partner closely with operational leaders to identify automation opportunities and drive organizational adoption.
Lead executive discussions regarding priorities, investments, risks, tradeoffs, and expected outcomes.
Develop change management strategies supporting implementation and user adoption.
Translate technical concepts into actionable business recommendations for executive audiences.
Build, lead, and develop a high-performing team of AI engineers, automation developers, data engineers, solution architects, and technical leaders.
Foster a culture of innovation, accountability, continuous learning, and collaboration.
Develop succession plans and technical career pathways.
Elevate organizational capabilities in AI engineering, automation, and digital transformation.