Manager, Commercial Data Management

BiogenCambridge, MA
2d$122,000 - $163,000Hybrid

About The Position

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.

Requirements

  • 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)
  • 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

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

Benefits

  • 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 time per calendar year
  • Paid Maternity and Parental Leave benefit
  • 401(k) program participation with company matched contributions
  • Employee stock purchase plan
  • Tuition reimbursement of up to $10,000 per calendar year
  • Employee Resource Groups participation
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service