Building Service 32BJ Benefit Funds ยท 2 days ago
Assistant Director, Health Fund Product & Data Engineering
New York, NY
Full-time
Onsite
Mid, Senior Level
$170K/yr - $185K/yr
5+ years expBuilding Services 32BJ Benefit Funds is responsible for administering various benefits to over 100,000 SEIU 32BJ members. The Assistant Director, Health Fund Product & Data Engineering will lead data engineering and product development teams to design and optimize data-driven solutions that enhance product performance and member experience.
EducationNon ProfitTraining
Responsibilities
Supervise, develop, and inspire a team of talented Data Engineering, Product Development, and other technical professionals
Motivate and gain the support of others to achieve organizational goals through emotional intelligence, accountability, and respect
Work closely with the Health Fund leadership to develop a data strategy that allows 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 tools, internal CRM, member portal)
Support strategy goals and objectives and work with cross-functional teams on key objectives
Collaborate with the Chief of Staff to develop and execute the data engineering and product development roadmap aligned with organizational objectives
Propose and develop high level KPls and metrics to measure the effectiveness of technical initiatives in serving our participants and advancing our mission
Facilitate and coordinate work on evolving data infrastructure architecture by collaborating closely with IT, Operations, and Health Fund leadership to support the full breadth of data projects and initiatives at the Health Fund
Lead, with the Chief of Staff and cross-functional partners, the design and implementation of scalable data architecture and analytics solutions using Databricks platform
Support the team's professional development, performance review and the hiring process
Guide implementation of CI/CD practices using Azure DevOps for data and analytics workflows
Collaborate with IT to evaluate and recommend new technologies and tools to enhance the data engineering ecosystem
Foster a culture of continuous learning, collaboration, and technical excellence
Provide strong and compassionate supervision to a diverse team professionals
Partner with stakeholders to translate business requirements into technical specifications and data products
Coordinate sprint planning, backlog management, and release cycles using Azure DevOps
Ensure timely delivery of high-quality data solutions that meet business needs
Support change management efforts related to the implementation, transformation recommendations, and business systems improvements
Spearhead 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
Support 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 experience in data engineering, product management, analytics, or related technical roles
2+ years in a leadership or supervisory capacity managing technical teams
Proven people management experience to lead and manage staff members, both direct and indirect reports, through effective planning and organization, supervision, and performance evaluation
Demonstrated experience with Databricks platform (Delta Lake, Apache Spark)
Proven track record using Azure DevOps for project management, CI/CD, and version control
Ability to maintain an organized approach, clarity of purpose, and goal orientation in a rapidly changing environment throughout the organization
Ability to develop talent and will require a leader who is focused on the well-being and resource needs of the entire team
Strong proficiency in SQL and at least one programming language (Python, Scala, or Java preferred)
Expertise in building and optimizing ETL/ELT pipelines and data workflows
Experience with data science, machine learning, or AI initiatives
Knowledge of data mesh, data fabric, or other modern data architecture patterns
Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related field
Preferred
Prior exposure in the healthcare claims data industry preferred
Databricks Certifications (Data Engineer Associate, Professional, Platform Administrator)
Microsoft Azure Certifications (Azure Data Engineer Associate, Azure Solutions Architect Expert)
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.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Anna McQuere
Assistant Director of Clinical Partnerships
Sabrina Benteftifa
Clinical Partnerships Manager
Company data provided by crunchbase