VP, Mosaic Enterprise Data Platforms
How Will You Make An Impact & Requirements
Key Responsibilities
Enterprise Data Platform Strategy
Databricks Platform Ownership
Data Architecture & Governance
Data Engineering & Pipeline Delivery
Analytics, BI & Clinical Intelligence
Business Partnership & Data Activation
Machine Learning & AI
Team Leadership & Development
Governance, Security & Compliance
Qualifications
Experience
10+ years of progressive experience in enterprise data, analytics, or data platform leadership
Deep, hands-on experience with Databricks
Proven experience building and leading data engineering organizations
Experience in architecting data pipelines using tools and frameworks like Databricks Workflows, Azure Data Factory, Azure Synapse, Spark / Spark Streaming, Azure functions, Airflow, dbt, Python, and SQL
Experience with modeling, querying, and optimization for columnar database technologies, NoSQL database technologies, relational database systems, and data lakes and data lake storage technologies
Experience delivering analytics and BI capabilities to clinical, financial, and operational stakeholders in a healthcare or similarly regulated environment
Experience with Tableau and Power BI at an enterprise scale
Proven experience building and leading data governance programs including data quality, lineage, metadata management, and policy enforcement
Experience in a large healthcare organization with exposure to clinical data, EHR data integration, population health analytics, or value-based care reporting
Familiarity with Delta Lake, Unity Catalog, MLflow, or Databricks Mosaic AI tooling
Experience with cloud data platforms in AWS, Azure, or GCP environments
Background in data science or ML engineering
Compensation Range
The anticipated base salary range represents the Company's good-faith estimate of the compensation it reasonably expects to pay for this position at the time of posting. Actual compensation will be determined based on factors including experience, skills, qualifications, geographic location, internal equity, and business needs.