This is a hybrid position that will require frequent on-site presence at our Cambridge, MA location About This Role The Manager, Data Management is an individual contributor role within US Decision Sciences / Data & Analytics. This position is responsible for executing defined data management activities to support the delivery of accurate, analytics-ready commercial data for reporting, insights, and field execution. The role supports established data pipelines and works under direction from senior team members to manage assigned data sources, feeds, or components of larger pipelines. The Manager applies strong data fundamentals to ensure data accuracy, consistency, and timeliness within a clearly defined scope. What You’ll Do Execute assigned data management deliverables aligned to analytics and reporting priorities Support ingestion, transformation, and refresh of commercial data sources within established pipelines Own discrete data sources, feeds, or pipeline components within a defined scope Perform data validation, reconciliation, and quality checks to confirm accuracy and completeness Implement data mappings, transformation logic, and requirements defined by senior team members Respond to analytics and reporting data requests and clarify data issues as needed Coordinate with IT and platform teams to run pipelines and troubleshoot routine processing issues Support external data vendor data loads, refresh cycles, and issue follow-ups. Maintain data definitions, assumptions, and documentation for assigned data sources Identify data issues, escalate risks, and support resolution using established processes Apply existing data management standards, controls, and best practices consistently Who You Are A detail-oriented executor who values data accuracy and reliability. Comfortable working independently on well-defined tasks and seeking guidance when needed. Able to manage multiple priorities and deadlines in a structured environment. Clear and proactive in communicating status updates, issues, and risks. Practical and solution-oriented when working with imperfect or incomplete data.
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Job Type
Full-time
Career Level
Manager
Number of Employees
1,001-5,000 employees