IT Data Integration Lead

Role Overview

• Partner with business stakeholders across US Commercial functions including Field Operations, Marketing Operations, Decision Sciences, and Patient Services to understand strategic objectives, pain points, and decision needs.
• Lead requirements discovery, documentation, and validation, including functional, non‑functional, and data requirements.
• Ensure requirements are backlog-ready for sprint-level execution.
• Translate data architecture and integration outcomes into clear, business‑friendly language for non‑technical audiences.
• Collaborate with technical teams to shape data models, curated datasets, and semantic layers aligned to business needs.
• Lead the integrations design across cross functional systems to understand data pipeline dependencies and data flows.
• Participate in design discussions and trade‑off decisions.
• Lead the design, implementation, and governance of data integrations across Snowflake, Databricks, Veeva CRM, SFMC, CDP, and other commercial platforms supporting advanced analytics use cases such as decision engine, adoption journey, segmentation, or ML‑enabled insights.
• Lead integration design documentation, mapping data pipeline dependencies and data flows to inform architecture decisions.
• Partner with data engineering, Data Management (DMA IT), Enterprise Applications Solutions (EAS), AI Capability Technology (AICT) and Global Commercial and Medical (GCM) IT teams to define integration patterns (batch, real-time, API-based, event-driven) and ensure data consistency, timeliness, and compliance.
• Participate in and enforce data governance standards, including data access governance, data lineage, consent management, and regulatory compliance (e.g., HIPAA, privacy requirements) for all integration touchpoints—especially those involving patient-level data.
• Proactively identify integration risks, gaps, and dependencies; drive resolution through cross-functional collaboration and escalation when needed.
• Operate within Biogen's SAFe Agile Release Train (ART), contributing to PI Planning, backlog grooming, sprint execution, and release readiness activities.
• Coordinate with vendor and contract delivery partners (e.g., offshore data engineering teams) to manage integration deliverables, acceptance criteria, and testing milestones.

Requirements

• Bachelor's degree in a related field.
• 5+ years of experience leading systems integrations in an enterprise IT environment, with demonstrated analysis and requirements management.
• Experience working in life sciences industry, including familiarity with Commercial operations (Field, Marketing, Patient Services) and regulated data environments
• Hands-on experience designing or leading integrations between enterprise data platforms (Snowflake, Databricks) and CRM/MarTech systems (Veeva CRM, SFMC, CDPs).
• Strong understanding of integration patterns: API-based integrations, batch/ETL, real-time streaming, event-driven architectures.
• Proven ability to translate business needs into data and analytics requirements.
• Experience with data flow design and system dependency mapping across multi-platform commercial ecosystems.
• Hands‑on experience querying or validating data using SQL and/or Databricks notebooks.
• Strong understanding and experience working with specialty pharmacy data (i.e., dispense, status, etc.), syndicated data (i.e., Claims, Rx), Marketing/digital data sets and Master Data Management data sets.

Tech Stack

• ETL
• SQL

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