Assistant Director, Health Analytics

BLDG SVC 32 B-JNew York, NY
3d

About The Position

Reporting to the Director, Chief of Staff, the Assistant Director, Health Analytics at the 32BJ Health Fund oversees the Health Analytics research team and additional supporting teams. This role provides operational and strategic leadership for analytics initiatives, including financial and trend analysis, and contributes to shaping the Fund's data strategy. The Assistant Director, Health Analytics supports the direction and overall data strategy that is focused on supporting the goals and the mission of the 32BJ Health Fund to provide best comprehensive health benefits to 200,000 32BJ SEIU Union members and their dependents. The team focuses on leveraging over 10 years of medical claims data, provider data and pricing data (internal and external) to inform improvements to the plan design, member navigation, direct contracting, and price transparency. The 32BJ Health Fund is at the forefront of leveraging data towards healthcare transformation and this role requires a strong and collaborative leader who is not content with the status quo, able to inspire, and who looks to form long-lasting internal and external partnerships. This is an ideal opportunity for an experienced professional, self-driven strategic thinker, skilled at navigating and balancing internal business systems with mission-based priorities.

Requirements

  • 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)
  • Strategic Communication & Stakeholder Engagement: Strong storytelling skills and ability to transition between technical audiences and stakeholders.
  • Collaboration & Cross-Functional Partnership: Skilled at working across various departments to align department needs with organizational goals.
  • Organizational Agility & Strategic Focus: Ability to maintain an organized approach, clarity of purpose, and goal orientation in a rapidly changing environment throughout the organization. Strong action planning skills, ability to manage multiple priorities/projects simultaneously, and meet tight deadlines.
  • Leadership & Resilience: Resiliency in managing competing priorities and timelines to ensure a well­ balanced workload for the staff. Self-starter who is motivated, collaborative, and innovative.
  • Problem Solving & Conflict Resolution: Ability to navigate challenges and resolve issues constructively in a fast-paced, data-driven environment.
  • Influence & Negotiation: Capable of advocating for data-informed decisions and gaining buy-in from key decision-makers.
  • Bachelor's degree in Business Analytics, Health Informatics, Statistics, or a related field.
  • High Reasoning Ability

Nice To Haves

  • 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.

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.
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