Senior Manager, Data and Analytics Engineering

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

The Senior Manager, Data and Analytics Engineering is responsible for leading the team’s delivery, ensuring structured execution, clear prioritization, and alignment with business needs. They own sprint ceremonies, roadmap planning, and team operations, driving efficiency and accountability. This role owns company-wide reporting and product analytics, as well as all post-source data operations, including extraction, transformation, loading, and warehousing, ensuring the business has timely, accurate, and trusted data. It focuses on enabling the team to deliver high-quality, reliable data pipelines, analytics products, and reporting tools by improving processes, fostering cross-functional collaboration, and managing team performance. As a hands-on leader, they provide mentorship, remove blockers, contribute technically as needed, and create a culture of execution and continuous improvement. The manager partners closely with Software Engineering, Machine Learning, and business stakeholders to define data models, align definitions, and execute a comprehensive data and analytics strategy.

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 end-to-end development of data pipelines and analytical products, ensuring reliable, performant systems and timely delivery of business-critical insights.
• Work closely with business partners, Product, Machine Learning, and Engineering to align data initiatives with company needs and unlock new opportunities.
• 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 stack (Dagster, Snowflake, dbt, Tableau, Hightouch).
• 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
• Identify bottlenecks and implement improvements to team workflows, tools, and development practices.
• Manage and mentor a growing team of data engineers and analytics 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, support self-serve analytics, and proactively manage stakeholder expectations to drive scalable, trusted data use.

Requirements

• 3+ 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, Python, and OLAP databases like Snowflake
• Skilled in developing scalable reporting solutions using tools like Tableau or Hex, and enabling self-serve analytics across the organization
• Strong data modeling and governance skills to support trusted, consistent reporting