Director, Data Engineering

The Director, Data Engineering will design, build, and optimize scalable data pipelines and infrastructure to support analytics, AI/ML initiatives, and omnichannel strategies for the U.S. Affiliate. This individual contributor role will ensure efficient, secure, and reliable ingestion, transformation, integration and storage of pharmaceutical data while overseeing vendor-delivered engineering work. The role will focus on building the technical foundation required to integrate data across multiple channels, ensuring data quality, compliance, and accessibility for analytics and reporting. Additionally, this individual will collaborate with cross-functional teams to deliver data solutions that generate actionable insights, support business objectives, and drive performance.

Responsibilities:

• Design and build scalable ETL/ELT pipelines and workflows using Databricks and DBT to ingest, transform, and store oncology commercial data.
• Integrate data across multiple channels (e.g., digital platforms, CRM systems, and other commercial data sources) to support omnichannel strategies and analytics.
• Optimize data architecture to ensure efficiency, security, and scalability for analytics and AI/ML initiatives.
• Evaluate and incorporate new tools and technologies to enhance data engineering capabilities.
• Monitor and improve data quality while ensuring compliance with healthcare regulations (e.g., HIPAA) and pharmaceutical standards.
• Collaborate with cross-functional teams, including data scientists, marketing analytics, payer analytics, IT, and commercial stakeholders, to deliver actionable data solutions.
• Manage vendor-delivered data engineering projects, ensuring technical excellence, timely delivery, and alignment with business objectives.

Requirements:

• A Bachelor's degree in a related field such as Computer Science or Data Engineering
• A minimum of 10+ years of experience in data engineering roles, with a focus on building scalable data pipelines and infrastructure, and a strong understanding of ETL/ELT processes, data architecture, and data warehousing
• Hands-on experience using Databricks and DBT for data workflows and architecture optimization, along with familiarity with cloud-based platforms (e.g., AWS, Azure, or GCP)
• Understanding of Oncology specific and relevant pharmaceutical industry data sets, especially for the US
• Prior experience managing internal teams and external vendor resources
• Strong communication skills, with the ability to connect data and its insights within the team and with various stakeholders
• Ability to work within large and complex organizations
• Ability to adapt in a quickly changing environment
• Adaptability to learn and integrate new tools and technologies into the existing tech stack
• Learn about Oncology therapy area and company’s business needs to ensure analytical outputs meet business needs

Preferred Qualifications:

• A Master's degree in Computer Science, Data Engineering, Statistics, or a related field is preferred
• Working knowledge of statistics, statistical modeling, or related concepts to support analytics initiatives
• Working knowledge of AI/ML concepts and tools to support analytics initiatives
• Having worked in a country organization or a start-up is a plus

Expected Pay Range: $168,100/year to $268,700/year + benefits, annual bonus & equity (bonus and equity is variable and dependent on company and individual performance). *Compensation for the role will depend on several factors, including responsibilities of the job, education, experience, knowledge, skills, and abilities.

Your Benefits:

BioNTech US is committed to employee wellbeing and offers best-in-class benefits & HR programs to support an inclusive & diverse workforce. Salaried/Position-Targeted Hourly Employees working 30+ hours per week are eligible for our comprehensive benefits package. Benefits include but are not limited to:

• Medical, Dental and Vision Insurance
• Life, AD&D, Critical Illness Insurance
• Pre-tax HSA & FSA, DCRA Spending Accounts
• Employee Assistance & Concierge Program (EAP) available 24/7
• Parental and Childbirth Leave & Family Planning Assistance
• Sitterstream: Virtual Tutoring & Childcare Membership
• Paid Time Off: Vacation, Sick, Bereavement, Holidays (including Floating) & Year-End U.S. Shutdown.
• 401(K) Plan with Company Match
• Tuition Reimbursement & Student Loan Assistance Programs
• Wellbeing Incentive Platforms & Incentives
• Professional Development Programs
• Commuting Allowance and subsidized parking
• Discounted Home, Auto & Pet Insurance

…and more! More details to be shared.

Berkeley Heights is New Jersey's growing hub within the life sciences industry and has already demonstrated the state’s commitment to innovation, collaboration, and excellence within the field. New Jersey's integrated approach to biotechnology and pharmaceuticals harmonizes academic rigor, industrial capability, and government support to create thriving conditions for a growing ecosystem. Cultivating an environment that seamlessly integrates cutting-edge research, robust manufacturing capabilities, and a dynamic business landscape, New Jersey has become a powerhouse in pharmaceuticals, biotechnology, and medical technology. As this region of New Jersey continues to develop, it stands ready to shape the future of medical science and technology, driving progress and improving health outcomes worldwide.

Apply now - We look forward to your application!

Apply for our New Jersey, US location and simply send us your documents using our online form.

By submitting your application, you acknowledge that a background check will be conducted as part of the recruitment process in accordance with applicable laws and regulations. If you are considered for the position, BioNTech will conduct the background check through our service provider ‘HireRight’. You will be informed accordingly by your BioNTech-Recruiter.