Designs and optimizes data-driven audience targeting and measurement for marketing channels. Builds reusable audience datasets, measurement views, quality controls, alerts, and anomaly detection to improve campaign execution and reduce operational risk. Partners with marketing, sales, product, and technology teams to define requirements, implement governed artificial intelligence capabilities, quantify automation impact, and communicate actionable insights. Mentors junior analysts and supports scalable, controlled marketing transformation.

Manage and mentor a data engineering team while leading Snowflake-based platform architecture, enterprise data integrations, governance, observability, and pipeline reliability. Partner with analysts, business leaders, product management, and engineering teams to improve trusted self-service data access. Establish engineering standards, modernize the data stack, optimize costs, and deliver an AI-ready data foundation supporting analytics, reporting, and future AI initiatives.

Own the strategy, governance, architecture, modeling, and reporting foundation for People Experience data. Build governed metrics, semantic and consolidated data layers, dashboards, data catalogs, quality monitoring, and operating processes from the ground up. Manage intake, prioritization, access, privacy, enablement, and self-service adoption while partnering with stakeholders on analytics and future AI capabilities. The role combines strategic program leadership with hands-on SQL, data modeling, reporting, and team mentoring.