Senior Director, Chief Enterprise Analytics

Salary Range:  $247,573.00 (Min.) - $334,223.00 (Mid.) - $420,875.00 (Max.)

 

Established in 1997, L.A. Care Health Plan is an independent public agency created by the state of California to provide health coverage to low-income Los Angeles County residents. We are the nation’s largest publicly operated health plan. Serving more than 2 million members, we make sure our members get the right care at the right place at the right time.

Mission: L.A. Care’s mission is to provide access to quality health care for Los Angeles County's vulnerable and low-income communities and residents and to support the safety net required to achieve that purpose.
 

Job Summary

The Senior Director, Chief Enterprise Analytics provides strategic leadership and enterprise-wide decision support through analytics in direct support of the Chief of Strategy and Transformation Officer (CSTO) and Strategy & Transformation Office. This role is responsible for setting the vision, strategy, and execution of analytics across L.A. Care, ensuring that data and evidence-based insights guide organizational decision-making, strategic investments, and progress toward the health plan’s mission. In partnership with the CSTO, this leader helps drive the transformational change required to improve care, expand access, enhance customer service for members and providers, and adapt to the evolving and complex regulatory landscape facing managed care.

The Senior Director, Chief Enterprise Analytics ensures that analytics and decision support are tightly aligned with the organization’s strategy, while serving as the enterprise connector for analytics across all divisions. This role builds deep partnerships across L.A. Care, breaking down silos and embedding insights into planning, execution, and performance management. Importantly, this position shapes the analytic approach and framework for answering enterprise questions, setting the tone for how insights are generated and applied, rather than simply responding to pre-defined requests. By fostering collaboration, enterprise-wide visibility, and analytic rigor, the Senior Director, Chief Enterprise Analytics ensures that priorities reflect L.A. Care’s goals, and that decision-making is consistent, evidence-based, and forward-looking.

This role directs a high-performing team of professionals who deliver actionable intelligence to advance care quality, access, member experience, provider performance, and operational efficiencies. Beyond reporting and analytics delivery, this position leverages advanced methods including causal inference, study design, machine learning, and AI to strengthen enterprise strategy and execution. As both strategist and execution leader, this role ensures that analytics are embedded into the core of how L.A. Care identifies opportunities, monitors performance, and transforms care delivery, supporting the organization in achieving sustainable growth and regulatory compliance while improving the lives of the members it serves.

Duties

Strategic Leadership and Decision Support

• Provide enterprise-wide leadership in analytics, ensuring that data and insights guide organizational strategy, investment decisions, and performance improvement initiatives.

• Define and communicate the analytics vision and framework for how enterprise questions are approached, ensuring a balance of rigor, creativity, and strategic foresight.
• Partner with the CSTO to translate organizational strategy into measurable priorities, actionable KPIs, and data-driven initiatives across L.A. Care.
• Serve as a trusted advisor to executives, providing forward-looking, evidence-based recommendations to inform strategic decisions and transformational initiatives.

Enterprise Analytics Strategy and Execution

• Develop and oversee the execution of the enterprise analytics strategy, ensuring alignment with organizational goals and emerging priorities.
• Lead the design, development, and operationalization of analytic models and methods, including causal inference, study design, machine learning, predictive modeling, and AI.
• Ensure analytic processes and outputs are scalable, reproducible, and integrated into enterprise-wide decision-making workflows.
• Act as the business owner for enterprise data and analytics platforms, business intelligence tools, and advanced statistical programming environments.

Cross-Functional Partnership and Influence

• Serve as the analytics connector across the organization, collaborating with key st