Director Global Data, Analytics and AI Platforms
United Kingdom
Full Time
2 hours ago
No H1B
Key skills
AWSAzureCloudETLGoogle Cloud PlatformJenkinsTableauAIELTData EngineeringAnalyticsBIPower BISnowflakeDatabricksdbtFivetranGCPGoogle CloudGitHubVersion ControlSalesforceAgileKanbanCI/CDLeadership
About this role
Role Overview
- 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
- 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
- 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
- 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
- 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
Requirements
- 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, oncology experience is a must
- 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.
Tech Stack
- AWS
- Azure
- Cloud
- ETL
- Google Cloud Platform
- Jenkins
- Tableau
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.