Charlie Health Engineering, Product & Design-posted about 19 hours ago
$200,000 - $265,000/Yr
Full-time • Manager
Hybrid • New York City, NY
501-1,000 employees

As the Engineering Manager, Data you will lead and represent a team of Data and Analytics Engineers, driving execution at a high level while fostering a culture of trust, empathy, and technical excellence. You will own the data warehouse and pipelines that power company-wide reporting, product analytics, and all post-source data operations, ensuring these are reliable, observable, accurate, fresh, scalable, and extensible. You will provide structured execution, clear prioritization, and alignment with business needs. As a hands-on leader, you will lead sprint ceremonies, roadmap planning, provide mentorship, remove blockers, contribute technically as needed, and create a culture of execution and continuous improvement. You will partner with leaders in our ML, Analytics, BizOps, and Engineering teams and define a vision for data model best practices in our warehouse and ETL pipeline architecture, while supporting new business initiatives. We’re a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you’re inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today.

  • Drive the development of data pipelines and analytical products in the warehouse, ensuring reliable, performant systems and timely delivery of business-critical insights.
  • Work closely with business partners across Data Science, Machine Learning, Engineering, Product, and BizOps to align data initiatives with company needs and unlock new opportunities.
  • Define a vision for a scalable data model architecture in the warehouse, and create a roadmap for the team to iterate into that end-state.
  • Lead execution, ensuring the team delivers high-quality, reliable data solutions aligned with business priorities, including leading sprint ceremonies and roadmapping.
  • Oversee data integrity, documentation, testing, and monitoring across systems to ensure stakeholders can trust and self-serve on our data.
  • Guide and contribute to architecture and design decisions, resolve critical technical issues, and ensure scalable development across our data stack (Dagster, Snowflake, dbt, Fivetran, Hightouch, Hex, Tableau).
  • Identify bottlenecks and implement improvements to team workflows, tools, and development practices.
  • Manage and mentor a growing team of data engineers; foster a culture of technical excellence, accountability, and continuous improvement.
  • Establish metrics to track progress, communicate priorities, and demonstrate business impact.
  • Define and maintain data governance standards and proactively manage stakeholder expectations to drive scalable, trusted data use.
  • Drive reliability, scalability, observability, security, and cost-efficiency improvements across our data stack.
  • Own company-wide KPI reporting, including ad hoc analysis, product analytics, and dashboard development, ensuring the team delivers clear, accurate insights in response to evolving business questions.
  • 2+ years managing and mentoring data and analytics engineers, with a focus on execution and delivery, and 6+ years of data or analytics engineering experience total
  • Proven ability to drive team operations, including sprint ceremonies, roadmap planning, and prioritization
  • Hands-on background in building and maintaining ELT pipelines using SQL, DBT, and OLAP databases like Snowflake
  • Proficiency in one or more programming languages (Python preferred), with the ability to guide and review technical work.
  • Experience with workflow orchestration tools like Dagster, Airflow, Prefect.
  • Skilled in developing scalable reporting solutions using tools like Tableau or Hex, and enabling self-serve analytics across the organization
  • Strong data modeling, provenance, and governance skills to support extensible, trusted, and consistent reporting and patterns
  • Track record of improving team processes, optimizing workflows, and delivering measurable impact
  • Experience being an effective cross-functional partner with Machine Learning, Product, Analytics, and Engineering, aligning data work with business goals
  • Clear, concise communicator who can translate complex technical concepts for non-technical stakeholders
  • Comfortable navigating ambiguity, breaking down complex problems, and driving iterative solutions
  • Committed people leader with a history of coaching talent and fostering a high-performance, inclusive team culture
  • Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/week.
  • Familiarity with healthcare data standards (e.g. HIPAA, FHIR) is highly desirable
  • Experience with AWS cloud technologies is preferred
  • Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees.
  • Read more about our benefits here .
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