Director of Data Engineering and Analytics

Greenbrook Medical is hiring its first dedicated data leader to build its foundational data layer, analytics capabilities, and data team. The role owns analytics, reporting, production systems, and the data roadmap, using data to improve care delivery and business performance.

Responsibilities:

• The analytics layer: the dbt models and business logic that turn raw data into something usable, and the metric definitions underneath them
• Reporting and BI: the reporting layer the whole business reads from, and turning data into findings that our teams can react on to improve performance
• Our production systems: you take ownership of systems as they come in-house from our engineering partner, harden them, and keep making them better, with accountability for uptime & system integrity
• The data roadmap and team development: You will develop, in partnership with Greenbrook’s functional leaders, a data capabilities roadmap that supports the business. You will translate that roadmap into tactical goals and hiring plans to ensure that the data team is improving observability across all aspects of the business
• Build and maintain the dbt models and business logic behind our metrics and workflows in Google Cloud
• Ensure metric definitions are consistent across every surface at Greenbrook
• Build the reporting and dashboards the business uses to make decisions
• Take on systems as they move from our engineering partner into steady state, and keep improving them
• Catch ingestion, pipeline, and logic issues, and resolve them within our SLAs. Build monitoring and uptime reporting
• Be the counterpart our engineering partner hands production work to. Resolve what you can and escalate what needs them
• Calculate and report on industry-standard care model measures
• Turn quality and care-gap logic into triggers and flags inside our clinical workflows, so we act on data during the encounter, not after
• Sit in the operating meetings where data gets used. Understand the care model well enough to define what we should measure and what good looks like
• Surface patterns and risks proactively, acting as an early warning system for the business
• Own the end-to-end data roadmap, from data strategy to product delivery and integration. Construct roadmaps on the order of quarters that align with what the business needs
• Build the data team from scratch. Put together a people roadmap, define sub-competencies based off of our needs, and design levels and competencies
• Hire and manage data engineers and analysts. Start as a player coach and then hire to supplement skills and ensure delivery against the roadmap

Requirements:

• Strong SQL, dbt, and Python, and you still write production code
• Hands-on experience with healthcare data, including claims, eligibility, and EHR data and familiarity with interoperability standards such as FHIR and HL7
• Experience with value-based care measurement, such as HEDIS/Stars, HCC/RAF, and utilization
• The ability to interpret data and explain what it means to clinical and business leaders in plain language
• Experience owning production systems, including being the person who responds when something breaks
• Experience building roadmaps, driving alignment on them, and hiring technical talent
• A bachelor's degree
• A mindset grounded in our core values of Heart, Excellence, Accountability, Resilience, and Teamwork
• Have done this at a risk-bearing organization, such as an ACO, MA plan, or at-risk provider, especially where data powered internal clinical software
• Tie data to workflow: you've moved a quality measure, not just reported on it
• Challenge the status quo constructively: you'll tell us what's not working and why
• Get to root cause: you find out why a number is wrong instead of patching the symptom
• Enjoy both hardening what exists and building what's next
• Are AI-native: you use modern AI tools in your daily work
• Drive outcomes: you have a bias for action and close loops without being chased