Manager, Commercial Data Management

This is a hybrid position and will require frequent on-site presence at our Cambridge MA facility.

The Manager, Data Management is an individual contributor role within US Decision Sciences / Data Management. 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.

• 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, elevate risks, and support resolution using established processes
• Apply existing data management standards, controls, and best practices consistently

• 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
• Deep knowledge around pharma data with specific focus on US‑based data
• Practical and solution‑oriented when working with imperfect or incomplete data

• Bachelor’s degree required (Data Sciences, Engineering, Information Systems, or related field)
• Minimum of 3 years of experience in data management, analytics enablement, or related roles within biotech/pharma, healthcare, or consulting
• Experience supporting commercial data sources (e.g., CRM, claims, prescription, specialty pharmacy, market data)
• Thorough knowledge of at least one of the following data sets: IQVIA, Komodo, Clarivate
• Hands‑on experience supporting data pipelines from ingestion through analytics‑ready delivery
• Working knowledge of data validation, reconciliation, and data quality checks
• Ability to interpret and implement data requirements, mappings, and documentation
• Basic to intermediate experience with SQL and modern data platforms (e.g., Databricks, cloud data warehouses)
• Experience working with analytics, reporting, and IT partners

Management

The base compensation range for this role is: $–$.

Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity.

Regular employees are eligible to receive both short‑term and long‑term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance.

In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees' and their families physical, financial, emotional, and social well‑being; including, but not limited to:

• Medical, Dental, Vision, & Life insurances
• Fitness & Wellness programs including a fitness reimbursement
• Short‑ and Long‑Term Disability insurance
• A minimum of 15 days of paid vacation and an additional end‑of‑year shutdown time off (Dec 26‑Dec 31)
• Up to 12 company paid holidays + 3 paid days off for Personal Significance
• 80 hours of sick…