Senior Director I, Modeling Data Pipelines

About the Role

Description Leads the development and delivery of end-to-end data pipelines and feature store capabilities that give data scientists the modeling data they need, at the speed the P&L vertical teams require. Provides strategic and tactical direction for the department, and helps set the direction for how MDS, data scientists, and deployment teams across US Date Science (USDS) work with modeling data. This position requires a proven ability to lead large-scale change across multiple teams. Responsible for the management, technical oversight, and development of a team of data analysts, MLOps specialists, and subject matter experts. Owns the strategy and execution for modernizing and standardizing the modeling data lifecycle, from data ingestion through model deployment, in partnership with our P&L vertical data science, modeling data, and deployment teams. Uses modern pipeline frameworks and scalable architecture patterns so data lineage is tracked throughout feature development. Leads the design and adoption of a feature store strategy that ensures features are defined once, managed consistently across model development, calibration, and deployment, and can be added to directly by data scientists. Leverages pipeline modernization to develop AI solutions that speed up how features are built, tested, and maintained. Requires deep knowledge of modern data pipelines and feature management practices, including tools such as dbt, Snowflake, and Databricks, and advanced application of those practices to the development, calibration, and deployment of pricing models. Collaborates with USDS, Data Office, DAE, ED&DS, and Product Delivery in developing these solutions. Qualifications Advanced degree in Statistics, Mathematics, Data Science, Computer Science, or a related field preferred. Typically 8+ years of relevant experience, including leadership experience in data science, analytics, data operations, or MLOps. Experience sourcing, integrating, and governing d

Requirements & Qualifications

• Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

• Official mentor support
• verified hiring timeline
• and career progression.