Engineering Manager, Data at Charlie Health

This role is designed for a seasoned engineering leader with at least 6 years of experience in data/analytics engineering and 2+ years of direct people manageme

Work type: hybrid

Location: New York, NY

Salary: $200,000 – $265,000/yr

Type: Full-time

Summary

This role is designed for a seasoned engineering leader with at least 6 years of experience in data/analytics engineering and 2+ years of direct people management. You should be a technical expert in the modern data stack—specifically Snowflake, dbt, and Dagster—who is equally comfortable leading sprint ceremonies and architecting complex ELT pipelines. The position offers a high compensation ceiling (up to $265k base) and the opportunity to impact the mental health crisis through data-driven care. Based in New York, the team operates on a hybrid schedule (4 days/week onsite), making it ideal for local leaders who value high-touch, in-person collaboration within a fast-scaling startup environment. **You might be a good fit if you...** * Have professional experience managing a team focused on Snowflake, dbt, and Python. * Are comfortable acting as a "hands-on" manager who can still perform technical code reviews. * Excel at translating complex data requirements between technical teams and non-technical business stakeholders. * Are local to NYC and prefer a consistent office presence to drive culture and execution.

Job Description

###

### Why Charlie Health?

Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they’re met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported.

Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we’re expanding access to meaningful care and driving better outcomes from the comfort of home.

As a rapidly growing organization, we're reaching more communities every day and building a team that’s redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we’d love to meet you.

### About the Role

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.

### Responsibilities

• 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.Nice to Haves

• 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](https://www.charliehealth.com/careers/epd#benefits).

Additional InformationThe total target base compensation for this role will be between $200,000 and $265,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID

### Our Values

• Connection: Care deeply & inspire hope.

• Congruence: Stay curious & heed the evidence.

• Commitment: Act with urgency & don’t give up.

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