Proactively identify data science use cases throughout the organization as well as new datasets. Work cross-functionally to develop solutions.
Build and deploy ML models to better identify populations requiring support/palliative care and provide clinical decision support.
Work with operational stakeholders (e.g. clinical delivery, member/provider engagement) to define and prioritize analytic needs. Develop business intelligence solutions and conduct ad-hoc analyses to meet these needs and support data-driven decision making.
Collaborate with our actuarial team to measure/forecast value-based contract (VBC) performance, understand savings drivers, and underwrite new contracts.
Support customer-facing analytics and reporting including summarizing Tuesday Health impact, preparing materials for JOCs, and measuring attainment of SLAs.
Build and manage assets in Tuesday’s data lake (Azure Databricks, dbt) leveraging a variety of datasets including client medical/pharmacy claims, ADT/HIE, FHIR, our internal care management system (Elevate), and other SaaS tools leveraged by the business (HubSpot, Zoom, Elation)
Manage cloud infrastructure to support Tuesday Health’s data lake including Azure Databricks and other Azure resources for facilitating data ingestion/delivery (functions, pub/sub, SFTP, etc.)
Maintain the semantic layer and roles-based access controls for Tuesday’s business intelligence systems (ThoughtSpot, PowerBI)

10+ years of experience working in healthcare analytics roles
Strong proficiency with SQL
Strong proficiency with Python data tools (pandas/numpy, SciKit, PyTorch)
Strong proficiency building and managing cloud infrastructure (Azure, AWS, GCP) and working with data platforms (Databricks, Snowflake)
Strong proficiency with one or more BI tools (Tableau, Looker, PowerBI, ThoughtSpot, etc.)
Experience leading and managing an analytics team and/or analytics projects
Familiarity with healthcare regulations and certifications including HIPAA, HITRUST, and SOC2

Vice President, Data & Analytics

Key skills