Manager, Commercial Data Management
Biogen
August 21, 2026
Remote friendly (Cambridge, MA)
United States
Operations
Responsibilities:
- 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
Qualifications:
- Bachelor’s degree required (Data Sciences, Engineering, Information Systems, or related field)
- Minimum 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 dataset: 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
Benefits (if applicable):
- Medical, Dental, Vision, & Life insurances; fitness reimbursement; disability insurance; paid vacation; holidays; sick time; paid maternity/parental leave; 401(k) with match; employee stock purchase plan; tuition reimbursement up to $10,000/year; Employee Resource Groups participation
- 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
Qualifications:
- Bachelor’s degree required (Data Sciences, Engineering, Information Systems, or related field)
- Minimum 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 dataset: 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
Benefits (if applicable):
- Medical, Dental, Vision, & Life insurances; fitness reimbursement; disability insurance; paid vacation; holidays; sick time; paid maternity/parental leave; 401(k) with match; employee stock purchase plan; tuition reimbursement up to $10,000/year; Employee Resource Groups participation