Manager, Enterprise Analytics Risk Adjustment Analytics

L.A. Care Health Plan•Los Angeles, CA

About The Position

The Manager, Enterprise Analytics Risk Adjustment Analytics leads a focused analytics team within a defined domain of the Enterprise Analytics organization. This position is responsible for executing the established analytic strategies and priorities. The Manager ensures analytic products and insights are accurate, actionable, and delivered in a timely manner to support operational excellence and strategic decision-making. The Manager oversees a team who transforms data into insights supporting business performance, regulatory compliance, member outcomes, and provider or operational performance. The position requires hands-on engagement in analytic delivery, technical depth in SQL and Python-based data analysis, and strong collaboration with other teams to ensure alignment with enterprise standards and analytic governance. This Manager drives operational analytic delivery within a specific domain, managing day-to-day analytic projects, guiding methodology, mentoring analytic staff, and ensuring that outputs meet the needs of internal stakeholders and align with the broader mission to enhance enterprise performance and member experience through data-driven insights. The Manager manages all aspects of running an efficient team, including hiring, supervising, coaching, training, disciplining, and motivating direct reports. Participates and make recommendations on the department's strategic planning and/or long-term decision-making.

Requirements

Bachelor's Degree In lieu of degree, equivalent education and/or experience may be considered.
At least 7 years of experience in analytics.
At least 5 years of experience in leading, supervisory, and/or managing staff.
Equivalency: Completion of the L.A. Care Management Certificate Training Program may substitute for the supervisory/management experience requirement.
Experience leading teams, projects, initiatives, or cross-functional groups.
Demonstrated experience leading teams that develop insights and operational analytic products using SQL and Python in a server-based environment.
Experience guiding teams in design and delivery of reports, dashboards, and visual analytics (Tableau or comparable platforms).
Experience in healthcare analytics (claims, quality, risk adjustment, or provider performance).
Experience integrating multiple data sources for operational or performance reporting.
Experience guiding teams to design and implement Tableau dashboards and visualizations.
Experience with Medicare Advantage (DSNP), Commercial Exchange, and Medi-Cal Risk Adjustment programs.
Experience in identifying, addressing, socializing, and championing efforts to fix issues impacting encounter data completeness, quality, and timeliness.
Ability to lead and develop a small analytics team, prioritize workstreams, and manage delivery of concurrent projects.
Strong interpersonal skills for building relationships, fostering teamwork, and creating a positive work environment. Ability to guide and support team members.
Knowledge of healthcare delivery systems, claims processing, utilization management, quality measurement, or provider performance.
Strong command of SQL and Python for data extraction, transformation, and analysis.
Ability to translate complex business operations into measurable analytic frameworks and KPIs. Strong understanding of KPI frameworks, operational analytics, and analytic storytelling for senior audiences.
Ability to work effectively with cross-functional leaders to align analytic logic and data definitions.
Ability to maintain data consistency and reproducibility across analytic projects.
Ability to synthesize complex findings into clear, actionable recommendations.
Ability to organize and manage analytic project deliverables and timelines. Proven ability to manage multiple projects and coordinate deliverables across function.
Ability to mentor staff in technical and business communication skills.
Excellent ability to set clear goals, develop strategic plans to achieve those goals, and inspire others to work towards a shared vision.
Skilled in mediating disputes and resolving conflicts in a fair and constructive manner.
Must have a deep understanding of financial principles.
Ability and excellent knowledge in developing and managing budgets, forecasting future financial outcomes, and making informed decisions about resource allocation.
Demonstrated ability to make informed decisions.
Strong verbal, written communication and presentation skills.
Deep understanding of the industry, market dynamics, and organizational operations to identify opportunities and navigate challenges.
Strong ability and knowledge to analyze market trends, anticipate future changes, and develop long-term strategies that align with the company's goals.
Ability to develop KPIs, dashboards, and reports supporting risk adjustment and encounter integrity.

Nice To Haves

Master's Degree
Experience leading analytic process improvements or standardization initiatives.
Experience working with encounters, lab, Electronic Medical Record (EMR), and other supplemental (e.g., HL7) data.
Advanced knowledge of visualization design and executive scorecard development.
Knowledge of statistical and analytical methods for operational insight generation
Awareness of data architecture and pipelines for scalable analytics.
Knowledge of Centers for Medicare and Medicaid Services (CMS)-Hierarchical Condition Category (HCC), Health and Human Services (HHS)-HCC, Chronic Illness and Disability Payment Systems (CDPS) + Medicaid Rx, and Part D Risk adjustment program requirements, and methodologies.
Certified Professional in Healthcare Quality (CPHQ)
Tableau Desktop or Tableau Server Certification
Snowflake SnowPro Core Certification
Other analytics or data-focused certifications (e.g., Microsoft Certified: Data Analyst Associate, Python for Data Science certifications)
Formal Snowflake training (e.g., SnowPro or internal training)
Training in healthcare analytics platforms (e.g., MLTSS, DHCS, HEDIS)
Leadership and team management training for analytics
Training in data governance, reproducibility, and analytic methodology best practices

Responsibilities

Provide day-to-day leadership for analytic teams responsible for development and maintenance of analytic assets within the assigned domain.
Translate analytic strategies and organizational priorities into structured work plans, deliverables, and performance measures.
Direct the design, development, and automation of reports, dashboards, and analytic models using SQL and Python in a server-based analytics environment.
Ensure data accuracy, consistency, and standardization across all analytic products within the domain.
Partner with other domain analytic leaders to ensure alignment of metrics, definitions, and methodologies.
Collaborate with cross-functional stakeholders to improve data quality, availability, and usability for analytics.
Lead analytic intake and prioritization processes to balance recurring operational needs with emerging enterprise priorities.
Mentor and develop staff, building technical and problem-solving skills within the team.
Summarize and communicate analytic findings in clear, actionable terms to leaders and cross-functional partners.
Support the development of dashboards and reporting frameworks for executive, compliance, or regulatory reporting.
Manage staff, and the day-to-day activities in the department. Participate in the department budgeting process. Responsible for scheduling, training, performance, corrective actions, mentoring, and developing team(s). Foster a culture of transparency, continuous improvement, accountability, and shared ownership of enterprise goals.
Manage complex projects, engaging and updating key stakeholders, developing timelines, leads others to complete deliverables on time and ensures implementation upon approval.
Provide quality assurance across projects, ensuring work products meet enterprise analytic standards.
Responsible for budgeting, and policy implementation.
Perform other duties as assigned.