Director Global Data, Analytics and AI Platforms

This position can be filled in London, UK (preferred) or East Coast, US.

Your main responsibilities will include the following:

Platform Strategy & Architecture

• Define and execute the global strategy and roadmap for Data, Analytics and AI platforms, ensuring scalability, security, and compliance across regions
• Oversee architecture of the data stack (Databricks, AWS, dbt Cloud, Fivetran, Tableau) and govern infrastructure for CI/CD, GitHub, and cloud environments

Data Management & Governance

• Manage end-to-end data lifecycle (Ingestion, Integration, Quality Control, Governance) and establish frameworks for governance, data quality, metadata, and lineage
• Lead global data engineering initiatives, including ELT/ETL pipelines, dbt modeling, and lakehouse optimization
• Business ownership of master data management platform and data stewardship
• Manage day-to-day operations for data, analytics, AI and platforms

Analytics Enablement & Platform Adoption

• Partner with analytics and data science teams to enable the delivery of enterprise dashboards, predictive models, and AI-driven insights
• Drive global rollout and adoption of platforms; define KPIs and success metrics to measure performance, ROI, and operational impact

Governance & Continuous Improvement

• Ensure compliance with HIPAA, GDPR, and GxP; champion agile delivery and continuous improvement using DevOps and Kanban
• Monitor platform KPIs and drive measurable outcomes in cost optimization, uptime, and delivery velocity

Leadership & Collaboration

• Collaborate with Global Commercial, Global Market Access, IT, as well as US, Germany and other affiliates to onboard data and solutions
• Align global stakeholders on strategic data priorities, act as a trusted advisor and data evangelist
• Communicate business impact and outcomes effectively to executive leadership

What you have to offer:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, or a related field
• 12+ years of experience in hands-on data platform management, with at least 5 years in pharmaceutical commercial data
• Proven track record of building and scaling enterprise-grade data and analytics ecosystems across geographies
• Deep expertise in commercial pharma data assets (IQVIA, Symphony, Veeva, Salesforce, Adobe, etc.,)
• Strong technical proficiency in:
  • Cloud platforms: AWS (preferred), Azure, or GCP
  • Data tools: Databricks, Snowflake, dbt, Fivetran
  • Visualization tools: Tableau, Power BI
  • Version control & CI/CD: GitHub, Jenkins
• English fluency required, German language skills are considered a plus

Your Benefits:

BioNTech is committed to the wellbeing of our team members and offers a variety of benefits in support of our diverse employee base. We offer competitive remuneration packages which is determined by the specific role, location of employment and also the selected candidate’s qualifications and experience.

Note: The availability, eligibility and design of the listed benefits may vary depending on the location. The final requirements for the individual use of our benefits are based on the company's internal policies and applicable law.

How to apply:

Apply now by sending us your application documents including Curriculum Vitae, copy of ID, copies of degree certificates and professional certificates, motivation letter as well as your contact details via our online form.

Please note:

Only applications sent via our online form shall be considered. 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.

We are looking forward receiving your application.