Data Scientist Supervisor

Responsibilities

• Plans, organizes, supervises, and evaluates complex data analytics, business intelligence and IT integration operations across Community Programs.
• Develops, implements, and monitors large-scale data science and reporting projects from inception to deployment, ensuring objectives and outcomes are met in a timely manner.
• Supervises and mentors a diverse team of analysts and data scientists; supports training and development of technical skills; promotes continuous professional development; fosters a collaborative, high-performing work environment; and manages cross-department partnerships on data analytics.
• Advises program leadership on analytics opportunities, emerging technologies, and strategic initiatives to improve operational efficiency and data-driven decision-making.
• Directs the design, development, and maintenance of complex data systems that hold case management, healthcare and justice data, including the Comprehensive Health Accompaniment and Management Platform (CHAMP), the Diversion Database, and the LA County InfoHub.
• Oversees enhancements to ensure interoperability, usability, and performance. Leads the integration of the data systems with Community Programs’ operations across health, housing and justice programs.
• Works closely with CP leadership across programs to identify business needs and to define the overall strategy and vision for data analytics and IT integration, aligning with DHS and Countywide priorities in health, housing, and justice.
• Collaborates with DHS’ Chief Information Office and DHS Population Health Analytics, and other County departments to improve IT systems, large databases, data pipelines, and analytic tools that improve service delivery, operational efficiency, and program effectiveness.
• Oversees the design and production of dashboards, performance reports, and analytics tools for internal and external stakeholders, including CP teams and contracted providers (e.g. community-based organizations), the Board of Supervisors, managed care plans, and the broader community.
• Leads efforts to standardize data collection, analysis, and reporting practices across programs and providers.
• Directs data governance, privacy, and security initiatives across Community Programs, ensuring compliance with DHS, County, and State requirements.
• Works closely with the CP CalAIM team to support Medicaid claiming; oversees data management, reporting, and data quality assurance for Medicaid billing operations, including CalAIM Community Supports and Enhanced Care Management, and Specialty Mental Health Services and Drug Medi-Cal billing.
• Implements and maintains data infrastructure projects, including creation of a CP data repository in InfoHub and integration of data from non-DHS sources.
• Serves as the technical liaison for system integrations with external data exchanges with other County Departments through the County’s Infohub and with non-County partners through LANES (a Countywide Health Information Exchange) and other health information exchange platforms.
• Oversees creation and implementation of data-sharing agreements and MOUs to expand data access and improve interdepartmental collaboration.
• Oversees risk management, incident investigations, and IT security reviews related to CP data systems and reporting platforms.
• Represents CP in Countywide data governance, oversight, and strategic planning committees.
• Promotes innovation in data science and analytics through the exploration and implementation of machine learning, predictive modeling, and other advanced analytic methodologies.

Skillset

• A Bachelor’s degree from an accredited college or university in Data Science, Computer Science, Information Systems, Mathematics, Machine Learning, Statistics, Business Analytics, Data Analytics, Public Health, Epidemiology or a related field.
• Five years of experience doing large-scale data integration, data reporting and analytics or IT business analysis; coordination or oversight of complex data science projects to support program, policy and operational decision-making and management; and data-driven program design, implementation, evaluation and quality improvement. That experience must include two (2) years supervising a team of a data science professionals.
• Strong leadership and management skills, with the ability to motivate and inspire a team.
• Proven experience in data analysis and visualization tools, such as SQL, Excel, Tableau, Power BI, or similar tools.
• Excellent analytical and problem-solving skills, with a strong attention to detail.
• In-depth knowledge of statistical analysis techniques and methodologies.
• Proficiency in data modeling and data manipulation.
• Strong business acumen and the ability to connect data insights to business objectives.
• Excellent communication and presentation skills, with the ability to translate complex data into clear and actionable insights.
• Ability to work effectively in a fast paced, dynamic environment, managing multiple priorities and meeting deadlines.
• Experience with cloud data platforms like MSFT Azure, AWS, Databricks, Snowflake, Google BigQuery.
• Proven track record of delivering impactful insights and recommendations based on data analysis.
• Demonstrated experience in developing and implementing analytics strategies in a corporate environment.
• Strong understanding of data governance principles and practices.
• Familiarity with data visualization best practices and tools.
• Experience working with large datasets and using statistical analysis techniques.
• A valid California Class C Driver License or the ability to utilize an alternative method of transportation when needed to carry out job-related essential functions.
• Successful clearing through the Live Scan process with the County of Los Angeles.