IT Data Integration Lead

Jobtailor; Cambridge (MA); On-site; USD 140,000 - 190,000; Full time

Job summary

Biogen seeks a seasoned data integration lead to partner with US Commercial functions, shaping data models, integration patterns, and governance across Snowflake, Databricks, Veeva CRM, SFMC, and CDPs. You will translate business needs into analytics requirements and ensure compliance for patient-related data.

You will coordinate with cross-functional teams, drive design decisions, and oversee data pipeline dependencies to support advanced analytics and decision engines.

Qualifications

• 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, syndicated data, Marketing/digital data sets and Master Data Management data sets.

Responsibilities

• Partner with business stakeholders across US Commercial functions to understand 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 platforms supporting analytics use cases.
• Lead integration design documentation, mapping data pipeline dependencies and data flows to inform architecture decisions.
• Partner with data engineering, DMA IT, EAS, AICT and GCM IT teams to define integration patterns and ensure data consistency, timeliness, and compliance.
• Participate in data governance standards, including data access governance, data lineage, consent management, and regulatory compliance for all integration touchpoints.
• Identify integration risks and drive resolution through cross-functional collaboration.
• Operate within SAFe Agile Release Train (ART), contributing to PI Planning, backlog grooming, sprint execution, and release readiness.
• Coordinate with vendor and contract delivery partners to manage integration deliverables, acceptance criteria, and testing milestones.

Skills

5+ years of experience leading systems

Life sciences experience

Snowflake integrations

Databricks integrations

CRM integrations

MarTech integrations

API-based integrations

Batch ETL

Real-time streaming

Event-driven architectures

Data requirement translation

Data flow design

SQL querying

Databricks notebooks

Pharmacy data

Syndicated data

Marketing data

MDM data

Education

Bachelor's degree in a related field

Tools

Veeva CRM

SFMC

CDPs

Job description

Responsibilities

• 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.

Qualifications

• 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.