Director, Data & Analytics Engineering

Charlie Health • New York, NY

7h • $250,000 - $325,000 • Hybrid

About The Position

Charlie Health is a rapidly growing organization dedicated to connecting people with life-saving behavioral health treatment. Our mission is to provide personalized, virtual care rooted in connection, expanding access to meaningful care and driving better outcomes. As the Director, Data & Analytics Engineering, you will lead a team of Data and Analytics Engineers in building the data foundation for Charlie Health's AI-first operating model. This role is a hands-on, Player-Coach leadership position where you will set the technical vision, manage the team, and stay closely involved with the code to make architectural decisions and unblock the team. You will partner with leaders across various departments and own the data model architecture for the future of Charlie Health. We are looking for passionate professionals eager to make a difference in behavioral health.

Requirements

• 10+ years of data or analytics engineering experience, with 4+ years managing and mentoring data and analytics engineers, with a focus on execution and delivery
• Proven ability to drive team operations, including sprint ceremonies, roadmap planning, and prioritization across multiple workstreams
• Hands-on background building and maintaining ELT pipelines using SQL, dbt, and OLAP databases like Snowflake
• Proficiency in Python (preferred) or another language strong enough to guide and review technical work
• Experience with workflow orchestration tools like Dagster, Airflow, or Prefect
• Skilled at building scalable reporting solutions in 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
• Effective cross-functional partner with Machine Learning, Data Science, Product 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
• This role requires 4 days per week in our NYC office (Flatiron District)

Nice To Haves

• Familiarity with healthcare data standards (HIPAA, FHIR, HITRUST)
• Experience with AWS cloud technologies
• Experience working in a startup environment
• Exposure to event-driven architectures (EventBridge, Kafka, CloudEvents) and JSON Schema registries
• Familiarity with vector stores (Pgvector, Pinecone) and patterns for semantic retrieval over operational data
• Experience supporting ML or agentic AI workloads as a data consumer — designing schemas, features, or context surfaces that downstream models and agents rely on
• Awareness of LLMOps tooling and what it takes to keep AI systems observable and PHI-safe

Responsibilities

• Own the warehouse and pipeline architecture that powers the Charlie Health World Model, the causal, continuously updated representation of our ecosystem that fuels reporting, product analytics, and the agentic Intelligence Layer
• Drive the long-term roadmap for AI-ready data: real-time signal graphs beyond batch cycles, schema-validated event flows, and semantic retrieval surfaces for transcripts, notes, and other long-form artifacts
• Define and execute a vision for scalable data model architecture in Snowflake, evolving 1,600+ existing dbt models toward extensible, well-governed, agent-consumable patterns
• Partner with Machine Learning, Data Science, Engineering, Product, and BizOps to align data initiatives with company priorities and unlock new opportunities, particularly the agentic capabilities riding on top of the World Model
• Lead execution end-to-end: sprint ceremonies, roadmap planning, and prioritization, with the discipline to keep a growing team shipping high-quality, reliable solutions on schedule
• Oversee data integrity, documentation, testing, monitoring, and provenance across systems so that stakeholders, human and agent, can trust and self-serve on our data
• Guide and contribute to architecture and design decisions across our stack (Dagster, Snowflake, dbt, Fivetran, Hightouch, Hex, Tableau), and resolve critical technical issues as a hands-on technical leader
• Own the data infrastructure that powers company-wide KPI reporting, ad hoc analysis, product analytics, and dashboard development, ensuring the underlying models, pipelines, and semantic layer enable downstream teams to deliver clear, accurate insights as business questions evolve
• Drive reliability, scalability, observability, security, and cost-efficiency improvements across the data stack, including the PHI gatekeeping and HITRUST-aligned patterns that govern signal ingestion
• Identify bottlenecks and implement improvements to team workflows, tools, and development practices
• Manage and mentor a growing team of Data and Analytics Engineers and one Data Engineering Manager. Operate as a Player-Coach: focus on craft, mentorship, high-leverage code review, and supporting DRIs running 90-day cross-cutting missions
• Establish metrics that 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

Benefits

• Comprehensive benefits to all full-time, exempt employees

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed