Building Service 32BJ Benefit Funds ยท 4 hours ago
Assistant Director, Health Analytics
Building Services 32BJ Benefit Funds is responsible for administering various benefits to over 100,000 SEIU 32BJ members. The Assistant Director, Health Analytics oversees the Health Analytics research team, providing leadership for analytics initiatives and contributing to the Fund's data strategy to enhance health benefits for members and their dependents.
EducationNon ProfitTraining
Responsibilities
With the support of the Senior Manager, Health Analytics, assist in managing, developing, and supporting a team of talented Health Analysts
Motivate and gain the support of others to achieve organizational goals through emotional intelligence, accountability, and respect
Collaborate closely with peers in Data Engineering, Product Development, Strategy, Policy, and Operations on cross-departmental initiatives
Support Health Fund leadership in the development and advancement of analytics strategies that allow for efficient use of internal data, external data, and price transparency tools to drive rational benefit design, contracting and support for existing tools that heavily rely on data (provider search, internal CRM, member portal)
Review and interpret complex datasets to identify trends, risks, disparities, and opportunities for intervention
Deliver with Health Fund leadership the financial and trend analysis of both benefit invoices and claims
Support the Senior Manager, Health Analytics in the communication of updates on strategic goals and objectives to cross-functional teams along with providing status reports on key objectives
Collaborate with Health Fund leadership to develop and refine key performance indicators and metrics to measure the effectiveness of technical and strategic initiatives in serving our participants and advancing our mission
Work closely with IT on ongoing data infrastructure modernization projects to support the full breadth of data projects and initiatives at the Health Fund
Support the Health Fund Chief of Staff in the Data Engineering team's professional development
Participate in performance review and the hiring process
Partner with Health Fund leadership, HR, and Training teams to develop educational materials for staff development
Support analytical and data vendor relationships and provide support for contracting, budgeting, and RFP processes
Provide strong and compassionate leadership traits to a diverse team
With support from the Senior Manager, Health Analytic, allocate team resources and priorities, manage timelines, and ensure that all critical projects are adequately staffed and completed on time
Support and lead change management efforts related to the implementation, transformation recommendations, and business systems improvements
Facilitate design discussions with the team to support the development, deployment, testing, and maintenance of high-quality solutions related to data analysis, data discovery, data pipeline automation, and roll-out compelling visualizations for business analysis
Supports the organization to be proactive and provides valuable alternatives/solutions based on internal data trends and insights
With leadership guidance, collaborate with stakeholders to identify rational opportunities to leverage technologies and establish agreement on forward progress
Foster a culture of data innovation within the team, with a mission-focused perspective to enhance the support we provide to participants
Perform other duties as assigned by senior leadership and executive team
Qualification
Required
5+ years of leadership or supervisory experience in data strategy, health analytics and health research
Extensive experience with invoice and claims trends analytics, predictive modeling a plus
Must have significant industry-related data strategy experience to support a team working in the complex landscape of healthcare reimbursement and pricing trends
People management experience to directly manage staff members, both direct and indirect reports, through effective planning, organization, and supervision
Strong experience in analysis of health care claims data, value-based care, and population health
Must have hands-on experience in application of a coding/statistical language to data analysis or development of data structures (SQL, SAS, Python, R)
Bachelor's degree in Business Analytics, Health Informatics, Statistics, or a related field
Preferred
Experience with Databricks preferred or similar cloud-based data engineering/analytics platforms
Master's degree preferred
Completion of actuarial exams or financial modeling certifications preferred
Company
Building Service 32BJ Benefit Funds
The Building Service 32BJ Benefit Funds is the umbrella organization responsible for administering benefits, including Health, Pension, Retirement Savings, Training and Legal Services benefits to over 100,000 SEIU 32BJ members.