I lead product management for the Data Engineering, Analytics, and Reporting organization, overseeing the development and delivery of high-impact data products. Collaborating with business leaders, engineering teams, and UX, I drive innovative solutions that serve a diverse range of consumers, including healthcare providers, life sciences partners, and internal stakeholders. My focus is on ensuring data is leveraged as a strategic asset across the organization.• Led the creation and governance of a Snowflake data warehouse, enabling simpler access to high quality data for reporting, analytics, and data science initiatives.• Eliminated 100+ hours of manual reporting per month by providing a centralized self-service solution for ad measurement across Life Science products.• Increased ARR by $6M+ through data-driven analytics by delivering a comprehensive set of business intelligence reports, empowering stakeholders with insights across Phreesia's product suite.

I tackled some of Signify’s biggest data challenges. I directly oversaw various aspects of the data platform buildout within Signify Health, including enterprise-wide data warehousing and data enrichment capabilities. In addition, I worked collaboratively with other key stakeholders to strategize around how we best position ourselves to ensure scalability and growth over the years. I've also played a key part in influencing strategy around data ingestion, data quality, data governance, and data architecture.• Supported the realization of over $300M in shared savings via insights: Oversaw the buildout of a near real-time data enrichment application that calculated all major metrics for the business intelligence platform, directly influencing the reduction in the total cost of care and enhancing data-driven decision-making for a $6B program.• Increased revenue by $20M over three years: Directed the 0-to-1 buildout of an NCQA logic engine that identified gaps in care for the diagnostic and preventive services line of business, improving care gap closure.• Reduced ETL pipeline times by up to 91% and enhanced scalability: Led the successful migration and optimization of the enterprise data warehouse from on-premises to Snowflake, resolving performance bottlenecks for business-critical deliverables.• Doubled data warehouse users within six months: Improved accessibility and usability by consolidating data, enabling self-service reporting and simplifying report generation.• Reconciled $250M in commercial episodes of care: Led the buildout of a financial reconciliation data pipeline that applied risk adjustment methodologies, ensuring accurate payments for Signify and provider partners.• Decreased analytics and reporting discovery time by 15%: Championed the implementation of a data catalog, decreasing data discovery time and reducing risk.

Led Data Warehouse and Reporting team as unofficial PO. Helped transition the org from Eexcel based reporting to Tableau.