Associate Director / Director, Global Generative AI

Role Summary

Associate Director / Director, Global Generative AI will establish and scale BioNTech’s generative AI capabilities to support its upcoming global Oncology launches. This leader will drive the vision, design, and deployment of generative AI solutions across commercial functions, ensuring cutting-edge use of large language models and adjacent technologies. This role is highly visible, directly shaping how BioNTech leverages AI for transformational impact in commercial operations.

Responsibilities

• Define and execute BioNTech‚Äôs generative AI strategy, roadmap, and governance across commercial functions.
• Design and implement enterprise-grade generative AI solutions, including:
  • Retrieval-Augmented Generation (RAG) for knowledge management and customer support.
  • Fine-tuning and domain adaptation of LLMs for pharma/oncology use cases.
  • Prompt engineering and optimization frameworks.
  • Agentic architectures for workflow automation.
• Build and maintain a library of generative AI use cases across marketing, sales, market access, and medical affairs.
• Ensure compliance with the evolving regulatory landscape for generative AI in healthcare.
• Drive large-scale adoption and change management, ensuring strong business impact and user satisfaction.
• Partner with global commercial teams, affiliates (US, Germany, etc.), IT, and senior leadership to align generative AI initiatives with strategic business needs.
• Monitor KPIs, ROI, and solution performance to ensure ongoing operational success.
• Serve as BioNTech‚Äôs thought leader in generative AI, advising executives and influencing the company‚Äôs AI innovation agenda.

Qualifications

• 8+ years of experience in AI/ML, with at least 3+ years in Generative AI-focused roles.
• Expertise across multiple generative AI domains, including RAG, fine-tuning, LLM orchestration, prompt engineering, and agent-based architectures.
• Proven track record of deploying LLMs in enterprise/commercial settings, with measurable business outcomes.
• Strong programming background (Python) and familiarity with ML/LLM frameworks.
• Experience with pharma commercial data (launches, next-best action, RWE) preferred.
• Advanced degree (Masters or PhD) in Computer Science, AI/ML, or related field preferred.
• Demonstrated ability to lead cross-functional teams, manage vendors/partners, and deliver at scale.
• Strong executive presence with the ability to translate technical capabilities into business value for senior leadership.

Skills

• Generative AI, large language models, RAG, fine-tuning, prompt engineering, agent-based architectures
• Enterprise AI deployment, governance, change management
• Python programming, ML/LLM frameworks
• Stakeholder management, cross-functional leadership

Education

• Advanced degree (Masters or PhD) in Computer Science, AI/ML, or related field preferred.

Additional Requirements

• None beyond listed qualifications; travel not specified.