- Company Name
- BioNTech SE
- Job Title
- Director Global Data, Analytics and AI Platforms
- Job Description
-
**Job title**: Director Global Data, Analytics and AI Platforms
**Role Summary**: Lead the design, implementation, and continuous improvement of a secure, cloud‑native data, analytics, and AI platform that supports global commercial operations. Own architecture, governance, and day‑to‑day operations, ensuring scalability, security, and compliance across multiple regions.
**Expectations**: Deliver a unified data ecosystem that enables cross‑border product launches, supports enterprise analytics, predictive modeling, and AI initiatives, and meets regulatory standards (HIPAA, GDPR, GxP).
- Set and execute global strategy and roadmap.
- Drive platform adoption and quantify ROI.
- Serve as trusted advisor to global commercial, market access, and IT stakeholders.
**Key Responsibilities**
1. Platform Strategy & Architecture – establish rolling roadmap, oversee data stack architecture (Databricks, AWS, dbt Cloud, Fivetran, Tableau), govern CI/CD and cloud infra.
2. Data Management & Governance – manage end‑to‑end data lifecycle, establish governance frameworks, lead ELT/ETL, dbt modeling, and lakehouse optimization, oversee master data management.
3. Analytics Enablement – partner with analytics and data science teams to deliver dashboards, predictive models, AI insights.
4. Governance & Continuous Improvement – ensure compliance, champion DevOps/Kanban, monitor KPIs for cost, uptime, velocity.
5. Leadership & Collaboration – align global stakeholders, onboard data solutions, communicate outcomes to executive leadership.
**Required Skills**
- 12+ years data platform leadership, 5+ years in pharmaceutical commercial data.
- Deep knowledge of pharmaceutical data assets (IQVIA, Symphony, Veeva, Salesforce, Adobe).
- Cloud: AWS (preferred), Azure, GCP.
- Data tools: Databricks, Snowflake, dbt, Fivetran.
- Visualization: Tableau, Power BI.
- Version control & CI/CD: GitHub, Jenkins.
- Fluent in English; German a plus.
**Required Education & Certifications**
- Bachelor’s or Master’s in Computer Science, Data Engineering, Data Science, or related field.
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