Manager, Data Operations

Responsibilities: Define and execute data strategy and training/calibration data delivery for P&L verticals Modernize the department's data architecture and pipelines for faster, model-ready data Lead and develop MDS teams and oversee data sourcing from warehouses and external vendors Implement process changes for new source systems and policy/claims platforms Collaborate with Data Office, DAE, USDS, ED&DS, and Product Delivery to shape enterprise data solutions Explain data origins and construction to data science partners and LB stakeholders Partner with cross-functional teams to continuously improve datasets and data governance

Key requirements: 15+ years of experience in data strategy, analytics, data management/warehousing/architecture, data product ownership or unstructured data environments Bachelor's degree required; MBA or advanced degree preferred Experience influencing senior management and stakeholders Strong written and oral communication skills Familiarity with Agile practices; process management a plus Working knowledge of cloud data platforms such as Snowflake and Databricks; AWS SageMaker Experience sourcing, integrating, and governing data from enterprise warehouses and external vendors Strong understanding of data architecture, pipelines, and data lineage Ability to partner with data science, technology, and business stakeholders and communicate to both technical and non-technical audiences Familiarity with dbt and Airflow Strategic thinking Strong communication Cross-functional collaboration Snowflake Databricks SageMaker