Director, Artificial Intelligence – Impact Science
L.A. Care Health Plan
full-time
Posted on:
Location Type: Office
Location: Los Angeles • California • United States
Visit company websiteExplore more
Salary
💰 $171,925 - $292,274 per year
Job Level
About the role
- 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.
Requirements
- 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.
Benefits
- Paid Time Off (PTO)
- Tuition Reimbursement
- Retirement Plans
- Medical, Dental and Vision
- Wellness Program
- Volunteer Time Off (VTO)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AImachine learningpredictive modelingcausal inferenceadvanced analyticsdata sciencereproducible pipelinesversion controldocumentation protocolsenterprise-scale analytics
Soft skills
leadershipmentoringteam developmentanalytical rigorcommunicationproject prioritizationresource allocationstrategic decision-makingoperational improvementscross-functional collaboration
Certifications
Master's Degree