L.A. Care Health Plan · 10 hours ago
Director, Artificial Intelligence and Impact Science
Los Angeles, CA
Full-time
Onsite
Director/Executive
$172K/yr - $292K/yr
7+ years expL.A. Care Health Plan is the nation’s largest publicly operated health plan, dedicated to providing health coverage to low-income Los Angeles County residents. The Director of Artificial Intelligence and Impact Science is a senior leader responsible for overseeing and advancing AI and causal analytics work, ensuring high-quality outputs that align with the organization's strategic priorities and operational goals.
FitnessGovernmentHealth Care
Responsibilities
Lead, mentor, and develop assigned team(s), fostering technical excellence, analytic rigor, and professional growth
Ensure all analytic solutions follow standardized development practices, including version control, peer review, reproducible pipelines, and documentation protocols
Serve as the primary liaison to other Enterprise Analytics leaders, integrating AI and causal science deliverables into domain-specific portfolios to maximize enterprise impact
Guide cross-functional teams in translating AI and causal insights into actionable business recommendations, operational improvements, and strategic decision-making
Oversee the design, implementation, and validation of predictive models, AI solutions, and causal impact studies, ensuring methodological rigor, scalability, and interpretability
Establish and maintain technical standards, workflows, and governance policies for AI and causal impact analytics
Continuously scan the AI, machine learning, and emerging technology landscape to identify tools, platforms, and frameworks that could enhance analytic capabilities, inform build vs. buy decisions, and deliver incremental value
Assess new technologies and provide recommendations on integration strategies, feasibility, and potential Return on Investment (ROI) for adoption in enterprise workflows
Promote the use of responsible AI principles, ensuring fairness, transparency, and explainability in all deployed solutions
Maintain oversight of resource allocation, project prioritization, and delivery timelines across the team
Collaborate with key stakeholders to integrate predictive and causal insights, providing holistic, enterprise-level solutions
Represent the AI & Impact Science team to senior leadership and external stakeholders, communicating strategic value, project outcomes, and future opportunities
Foster a culture of continuous learning, experimentation, and innovation within the team
Proactively initiate, build and maintain effective relationships and communication with both internal and external key stakeholders. Communicate with senior leadership and executives, provide reports on performance and progress towards objectives
Develop goals, objectives and action plans for assigned staff which includes full management responsibility for the hiring, performance reviews, salary reviews, training, and disciplinary matters for direct reports
Conduct strategic planning for resource management in order to meet current and future departmental and enterprise-wide goals
Develops, and manages department budget, monitors expenditures and ensures financial sustainability
Perform other duties as assigned
Qualification
Required
Master's Degree
At least 7 years of progressive experience in advanced analytics, data science, or AI/ML
At least 7 years of experience supervising/managing staff
At least 3 years of professional experience working in a healthcare setting (e.g., Managed Care Organization, health system, hospital network, or health plan)
Demonstrated successful experience leading teams of technical practitioners (data scientists, analysts, or equivalent) in healthcare or complex enterprise environments
Hands-on experience with AI/ML model development, causal inference, and enterprise-scale analytics projects
Experience managing multiple projects and prioritizing resources in a dynamic environment
Experience evaluating emerging AI and analytics technologies and guiding build vs. buy decisions
Prior experience setting standards for reproducibility, governance, and responsible AI practices
Demonstrated ability to think long-term and develop strategies that align with the overall goals of the organization
Demonstrated ability to make sound and timely decisions
Demonstrated ability to adapt to changing situations and adjust strategies accordingly
Demonstrated ability to adapt to a fast-paced and evolving environment and to lead others through change
Excellent interpersonal skills for building relationships, fostering teamwork, and creating a positive work environment
Excellent written and verbal communication, negotiation, and interpersonal skills
Excellent ability and knowledge in analyzing data, identifying problems, and making informed decisions, often in complex or ambiguous situations
Demonstrated ability to lead and mentorship of technical teams in AI, data science, or analytics
Ability to operationalize analytics and AI outputs into business workflows and enterprise decision-making
Advanced understanding of predictive modeling, AI/ML methods, causal inference, and analytic pipeline design
Strong project management and prioritization skills, including using Jira or equivalent workflow tools
Expertise with collaboration and documentation tools such as GitHub and Confluence
Exceptional communication and stakeholder engagement skills for technical and non-technical audiences
Proven ability to collaborate across multiple business domains, integrating analytics into strategic decision-making and operational workflows
Strong communication skills with the ability to translate complex technical topics for senior leadership and non-technical stakeholders
Certified Health Data Analyst (CHDA)
Certified Analytics Professional (CAP)
Snowflake SnowPro Core Certification
SnowPro Specialty: Data Engineering or Snowpark
Health Economics and Outcomes Research (HEOR) Certification or Graduate Certificate
Advanced AI/ML or Data Science certifications (e.g., Microsoft DP-100, MITx MicroMasters in AI, or similar)
Preferred
Doctorate Degree
Experience in a Managed Care Organization (Medicaid, Medicare, ACA Exchange)
Experience with health equity analytics and population segmentation for targeted interventions
Expertise in responsible AI principles, including fairness, transparency, and explainability
Ability to evaluate emerging AI technologies and integrate them strategically into enterprise analytics capabilities
Knowledge of Shiny, Streamlit, or other visualization and analytic tool deployment platforms
Knowledge of healthcare administrative datasets (claims, encounters, eligibility, provider networks, quality measures)
Knowledge of Snowflake/Snowpark, cloud-based analytics, and large-scale distributed computing environments
Benefits
Paid Time Off (PTO)
Tuition Reimbursement
Retirement Plans
Medical, Dental and Vision
Wellness Program
Volunteer Time Off (VTO)
Company
L.A. Care Health Plan
L.A. Care’s mission is to provide access to quality health care for L.A.
1001-5000 employees
H1B Sponsorship
L.A. Care Health Plan has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2023 (1)
2021 (3)
2020 (1)
Funding
Current Stage
Late StageLeadership Team
Melanie Rainer
Chief Strategy and Transformation Officer
Recent News
MarketScreener
2025-08-27
2025-08-04
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