Hybrid Director, Tech Lead – Data Platform

at Genmab

• Job title: Director, Tech Lead – Data Platform
• Job type: Full Time
• Experience level: Senior
• Salary: $188,800 - $283,200 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, AWS, Cloud, Django, Python, Unity
• Location requirements: Hybrid, Princeton, United States

About the role

• Director of Tech Lead overseeing data platform integration and development. Leading data technology implementation at Genmab to enhance cancer treatment solutions.

Responsibilities

• Design and implement data platform solutions integrating Airflow, Databricks, DBT, Django and Reltio within a cloud-based data platform (AWS preferred).
• Leverage Unity Catalog as a metastore, Delta Lake, and the medallion architecture to establish scalable and well-governed data solutions.
• Integrate the data platform with compute, AI and other analytical systems including facilitation of varying MLOps solutions in collaboration with the AI platform team
• Contribute to cohesiveness of Genmab’s broader data ecosystem, including third-party tools, external data sources, and integrations with partner organizations.
• Guide the implementation and optimization of scalable, efficient data pipelines, workflows, and data mesh implementations.
• Develop components of the data marketplace including aspects of full-stack development.
• Define best practices, architectural frameworks, and standards for modern cloud-based data platforms in a regulated environment.
• Collaborate with data governance teams to translate governance policies into technical solutions, ensuring data quality, lineage tracking, access control, and compliance.
• Identify reusable solution patterns that reduce governance friction and accelerate compliant data usage across business functions
• Engage with data producers, consumers, stewards, and data engineers to tailor solutions that fit their needs.
• Ensure GxP compliance, regulatory adherence, and best practices in data security for all data workflows.

Requirements

• Bachelor’s degree in Computer Science, Bioinformatics, or a related field is required.
• Master’s or Ph.D. in a relevant field is a plus.
• 10+ years of experience in data engineering, data architecture, or related roles.
• Expertise in Airflow, Databricks (2 -3 years experience), DBT, and Reltio, with a strong understanding of orchestration, transformation, and master data management (MDM) in biotech.
• Familiarity and ability to deliver components of a data marketplace in a hands-on format, which includes components of full-stack development.
• Understanding of AI and analytics and how data needs to be leveraged to facilitate model development
• Proficiency in Python, with experience developing scalable data pipelines and cloud-based (Databricks) architectures.
• Strong knowledge of GxP and regulatory compliance in biotech/pharma data platforms preferred.
• Experience designing and implementing data mesh architectures and data marketplaces.
• Proven ability to work with data governance teams to ensure alignment with enterprise metadata management, lineage tracking, and access control.
• Excellent stakeholder management, communication, and influencing skills across technical and non-technical teams.
• Biotech or pharma experience preferred, with a deep understanding of how data flows across R&D (e.g., translational research, bioinformatics), CMC (e.g., batch records, stability data), and Commercial (e.g., omnichannel engagement, sales ops) contexts in biotech/pharma.
• Ability to balance hands-on technical work with technical leadership.
• Exposure to modern data lakehouse architectures leveraging Delta Lake, medallion architecture, and Unity Catalog is a plus.

Benefits

• 401(k) Plan: 100% match on the first 6% of contributions
• Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance
• Voluntary Plans: Critical illness, accident, and hospital indemnity insurance
• Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave
• Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support
• Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses