Manager, Data Engineering & Analytics

As the Manager of Data Engineering & Analytics
, you will report to the Vice President of Business Intelligence and lead The Helper Bees' Data Engineering and Analytics team, responsible for both the technical execution and strategic direction of data across the company. Your leadership will be key in ensuring the team produces accurate, governed, and on-time data reports, invoices, and analyses that our internal leaders and external partners depend on.

In this role, you will manage and develop a high-performing team of Data Engineers and Data Analysts, guiding their career growth, performance, and skill development. You will own how the team takes in, prioritizes, and delivers work, and you will set clear, achievable goals that ladder to the company's data objectives.

A central part of this role is helping the team move up the analytics maturity curve — from descriptive reporting toward
** predictive and prescriptive analytics**. You will guide the team as we build machine-learning models to strengthen forecasting and develop algorithms such as recommendation engines and clustering/segmentation to understand members with similar diagnoses and needs profiles. You don't need to be a research scientist, but you must be technically literate enough in modern ML and data science to set direction, review approaches, partner with our data scientists, and grow analysts into this work.

While setting the strategic vision for the data team, you will actively participate in executing the data strategy, rolling up your sleeves when needed - reviewing designs, unblocking pipelines, and making the hard tradeoff calls. As a people manager, you will foster an environment of mentorship, collaboration, and continuous learning, ensuring your team is empowered to fulfill the broader company vision, including our push to make AI a genuine multiplier for how the team works.

You will work closely with leaders from Product, Accounts, Operations, and the C-suite - as well as external clients and partners - to ensure alignment and successful delivery of the data strategy, acting as both a leader and an advocate for the data function across the organization. Because The Helper Bees operates in healthcare, you will do all of this in an environment that requires careful handling of protected health information (PHI).

• Data Analysts/Business Analysts

• Lead and manage the Data Engineering & Analytics team, providing mentorship, guidance, and support to ensure technical and professional development across a team of mixed tenure, including members still onboarding.
• Design, implement, and maintain The Helper Bees' data products using Python, SQL, dbt, Airflow, Big Query, and other modern technologies.
• Own the team's intake and prioritization - how requests come in, get triaged, and get scheduled (managed in Jira) - and make that process legible to stakeholders so they can see where their requests stand and why.
• Champion a dbt-first, governed approach
  : move reporting off manual and bespoke SQL into tested, traceable, automated models, and hold the team to a high reliability bar (on-time delivery and zero manual edits to production data).
• Lead the team's expansion into predictive and prescriptive analytics - guiding the development of ML models for forecasting, recommendation engines, and clustering/segmentation to profile members by diagnosis and need - and put the practices in place (validation, monitoring, governance) to deploy and maintain these models responsibly in a healthcare context.
• Set strategic goals for the team, ensuring alignment with the company's data objectives and promoting continuous improvement.
• Collaborate with department teams to design, build, test, and implement new features and enhancements that meet internal and external stakeholder needs.
• Monitor team performance and development, fostering an environment of growth through regular feedback, code reviews, and training opportunities.
• Produce quality, testable, and maintainable code, while setting high coding standards for the team.
• Assist in refining and improving development processes such as…