L.A. Care Health Plan

Data Analyst

• Serves as a Subject Matter expert (SME), technical and analytic integrator
• Responsible for designing, developing, and operationalizing advanced analytic solutions
• Combines strong data engineering fluency with analytical acumen
• Designs and maintains reusable analytic data models and ETL pipelines
• Leads development of advanced dashboards, reports, and analytic tools
• Partners with analysts, data scientists, and operational stakeholders
• Implements and maintains version control, peer review, and continuous integration practices
• Supports enterprise level measure refresh cycles
• Drives continuous enhancement of the analytic ecosystem by integrating new data sources and improving data structures

Solutions and Data Analyst III

Artificial Intelligence

• 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.

Director, Artificial Intelligence – Impact Science

Program Manager

• Supports the Strategic Investment, Innovation and Partnership team to advance core strategic initiatives, achieve impact and network and collaborate with key stakeholders
• Oversees one or more programs ensuring that department management and key stakeholders define the program goals
• Responsible for developing program assessment protocols for effectiveness and quality improvement
• Work with key stakeholders on program implementation and facilitate communications with cross-functional departments
• Research foundations and funders for opportunities to help leverage initiatives
• Provide recommendations on financial management of assigned programs
• Develop and implement annual work plans; ensure timely and high-quality reviews and submissions of deliverables

Development Program Manager II

Director

• Provide strategic leadership and operational oversight for analytic domains.
• Enable data-driven decision-making across the enterprise.
• Ensure the analytic strategy is aligned with organizational objectives.
• Oversee analytic teams in the design, development, and delivery of insights.
• Advocate for data-driven decision-making across the enterprise.
• Continuously assess analytic capabilities and identify opportunities for improvement.

Director, Enterprise Analytics

Account Manager

• Leads L.A. Care’s strategic giving, investments, innovation, and partnership work with the Chief Strategy and Transformation Officer.
• Manages and researches investment trends in strategic giving and broader investments that support L.A. Care’s business.
• Ensures that investments and partnerships are aligned with strategic priorities.
• Works with the analytics team on artificial intelligence (AI), emerging technologies and innovation opportunities.
• Responsible for charting LA Care’s path in strategic investments, external partnerships, and impactful community giving.
• Serves as a crucial bridge between organizational strategy and external collaboration.
• Oversees a multi-million-dollar portfolio and works with internal operational teams.
• Evaluates next-generation tools, fosters experimentation, and ensures responsible implementation that meets legal and ethical standards.
• Directs all aspects of running an efficient team including hiring, supervising, coaching, training, and motivating direct reports.

Senior Director – Strategic Investments, Innovation, and Partnerships

Project Manager

• Manage the planning, execution, and delivery of projects across diverse business areas, including operational, clinical, strategic, and technology initiatives.
• Define project scope, goals, deliverables, timelines, and success metrics in collaboration with sponsors and stakeholders.
• Conduct high-level data and process analysis to inform project design, evaluate outcomes, and identify opportunities for improvement.
• Develop detailed project plans, schedules, budgets, and resource allocations.
• Monitor progress against milestones, manage risks, issues, and dependencies, and implement mitigation strategies.
• Prepare and present project updates, dashboards, and analytical reports to leadership and governance bodies.
• Facilitate cross-functional collaboration to ensure alignment and communication across departments.
• Ensure project compliance with legislation and organizational policies, procedures, and managed care regulatory requirements.
• Support post-implementation evaluation, including benefits realization, lessons learned, and continuous improvement.
• Mentor and guide project teams and business partners in project management and analytical best practices.

Enterprise Project Manager III

• Execute high-impact risk adjustment system implementations to improve data and reporting processes
• Structure and coordinate cross-functional teams on technical initiatives
• Work closely with Information Technology (I.T.) and Business leads
• Conceptualize solutions and organize multiple teams for data regression testing
• Drive towards meeting risk adjustment key performance indicator (KPI) metrics and reports
• Standardize technical meetings and data discussions
• Ensure execution is efficient and set accountability by tracking progress
• Engage the analyst team to support, test and upgrade multi-functional software programs
• Develop project action plans and complete business requirements for technical implementations
• Track progress, evaluate risks, and communicate with cross-functional business partners

Risk Adjustment Strategies Analytics Program Manager II

• Design, train, validate, and deploy complex AI and ML models to address enterprise use cases across departments such as Health Services, Payment Integrity, Quality Improvement, Finance, and Provider Network Management
• Lead all phases of the AI solution lifecycle – from problem framing and data engineering through model design, validation, and operational integration
• Implement production-grade ML pipelines using modern MLOps practices, ensuring scalability, reproducibility, and continuous model performance monitoring
• Serve as a subject matter expert in responsible and explainable AI, ensuring model fairness, transparency, and compliance with regulatory and ethical standards
• Partner with business and technology leaders to identify and prioritize new AI use cases that align with the organization’s transformation strategy
• Translate business challenges into well-structured analytical problems and lead cross-functional teams through data discovery, feature engineering, and algorithm development
• Work directly with cloud-based data and AI platforms (e.g., Snowflake, Azure ML, Databricks) to operationalize model delivery and integration with enterprise data assets
• Mentor and coach staff, providing technical guidance, code reviews, and knowledge sharing
• Document all model design assumptions, data sources, evaluation metrics, and deployment protocols for transparency and reproducibility
• Communicate complex technical results in accessible, actionable ways for both executive and operational stakeholders
• Contribute to the development of reusable AI assets, libraries, and standardized templates to accelerate future model development
• Remain current on emerging AI/ML technologies, frameworks, and healthcare analytics applications, and advise leadership on adoption opportunities
• Apply subject matter expertise in evaluating business operations and processes
• Identify areas where technical solutions would improve business performance
• Consult across business operations, provide mentorship, and contribute specialized knowledge
• Ensure that the facts and details are correct so that the program's deliverable meets the needs of the department, organization and legislation's policies, standards, and best practices
• Provide training, recommend process improvements, and mentor staff, department interns, etc. as needed
• Perform other duties as assigned

Applied Artificial Intelligence Scientist III

• The Enterprise Data Analyst II collaborates and contributes in the design, development, and delivery of analytic solutions that inform operational, quality, and financial performance across the organization.
• Participate in structured requirements elicitation, documentation, and verification.
• Develop and automate recurring reports and dashboards, applying standardized definitions and refresh cycles (daily, weekly, monthly, quarterly).
• Validate data integrity and ensure compliance with data lineage and governance standards.
• Collaborate with IT, business partners, and fellow analysts to resolve data issues and confirm analytic accuracy.
• Apply foundational statistical methods to interpret patterns in performance.
• Participate in project tracking and post-implementation review.

Enterprise Data Analyst II

Operations

• Identify, analyze, and implement solutions to improve operational efficiency, quality, and effectiveness across the organization
• Analyze business processes, workflows, and performance data to identify inefficiencies and areas for improvement
• Design, test, and implement process improvement initiatives across departments
• Facilitate workshops, Kaizen events, and process mapping sessions
• Document new processes, create standard operating procedures (SOPs), and ensure sustainability of improvements