Manager, Data Engineering, Analytics

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $150k - $160k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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The Helper Bees

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

📦 Logistics

💼 Consulting

Healthcare • Logistics • Consulting

The Helper Bees is a company that offers innovative solutions for aging-in-place, focusing on providing non-medical services that enable older adults to live independently at home. The company has built a comprehensive platform that supports payers and service providers by integrating services such as long-term care insurance claims support, home care, and digital invoicing. With a nationwide network of credentialed service providers, The Helper Bees ensures quality and streamlined care delivery through ongoing monitoring and a seamless payment process. Their platform helps reduce healthcare costs, improve health outcomes, and supports families throughout the claims process by collaborating with Long-term Care Insurance Carriers and Medicare Advantage Plans.

📋 Description

• Lead and manage The Helper Bees' Data Engineering & Analytics team • Report to the Vice President of Business Intelligence • Manage and develop Data Engineers and Data Analysts/Business Analysts • Set the team's strategic direction, goals, intake, prioritization, and delivery processes • Design, implement, and maintain data products using Python, SQL, dbt, Airflow, BigQuery, and modern technologies • Move reporting from manual and bespoke SQL to tested, traceable, automated dbt models • Ensure reliable, accurate, governed, and on-time data reports, invoices, and analyses • Lead predictive and prescriptive analytics initiatives, including forecasting, recommendation engines, and clustering/segmentation • Establish validation, monitoring, and governance practices for healthcare machine-learning models • Collaborate with Product, Accounts, Operations, C-suite leaders, external clients, and partners • Monitor team performance through feedback, code reviews, and training • Set and enforce coding, quality, scalability, and maintainability standards • Improve deployment, sprint planning, monitoring, incident response, escalation, and workflow processes • Drive adoption of AI-assisted development and analytics tools such as Cursor and Claude Code • Debug complex issues across data pipelines and models • Own the data team's contribution to monthly close and scorecard processes, including client and partner reports and invoices • Surface exceptions proactively and measure improvements in reliability, efficiency, and productivity • Oversee data quality, reporting timeliness, technical leadership, code quality, innovation, stakeholder satisfaction, scalability, and optimization

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, Information Systems, or a related field; relevant work experience may be considered in lieu of a degree • 5+ years of experience in data analytics, data engineering, or a related data discipline, with increasing scope and responsibility • 2+ years of hands-on experience as a Data Engineer or in a highly technical data role • 2+ years of direct people-leadership experience, including hiring, coaching, performance management, and driving team execution • Proven experience crafting, communicating, and promoting strategic direction for a data team • Strong leadership, team management, change management, stakeholder influence, data analysis, and presentation skills • Experience building and improving data warehouses and modern data pipelines • Extensive SQL and data engineering experience, including ETL/ELT solutions • BigQuery, dbt, Airflow, and Python required • Experience with Tableau, Salesforce data, and Azure/Synapse a plus; PostgreSQL and Power BI nice-to-have • Experience owning an intake and prioritization process, such as Jira • Working knowledge of machine learning and data science, including forecasting/time-series methods, recommendation engines, and clustering/segmentation • Python ecosystem experience such as pandas and scikit-learn • Hands-on ML experience and production model deployment/monitoring strongly preferred • Familiarity with or willingness to drive AI-assisted development and analytics tooling • Experience managing or transitioning work from external consultants/vendors a plus • Experience handling sensitive data responsibly; HIPAA/PHI familiarity strongly preferred • Excellent communication and interpersonal skills • Must be 18 years of age or older • Demonstrated experience leading complex data initiatives from strategy through delivery, including migrations or platform transitions • Predictive/prescriptive analytics or machine-learning model delivery experience preferred • Reliable internet connection and designated work environment conducive to professional phone calls and sensitive data • Ability to remain at a designated workstation for the duration of the workday • Ability to operate a computer and office productivity machinery • Ability to communicate and exchange accurate information • Ability to observe details at close range

🏖️ Benefits

• Remote work at approved locations within the United States • Flexible remote work arrangement • Mentorship, collaboration, and continuous learning opportunities • Career growth, performance feedback, code reviews, and training opportunities • Equal opportunity workplace • Reasonable accommodations during the application and interview process • Potential background check and/or drug screen as part of hiring process