Genentech is looking to solve complex health challenges by leveraging AI-powered capabilities. The Executive Director of Predictive AI will define the strategic vision, drive innovation, and oversee the development and growth of the Predictive AI Platform Suite to maximize business impact through AI.
Requirements
- Deep expertise in data science, machine learning, statistical modeling, and AI platform technologies.
- Proven track record of driving AI/ML innovation from concept to scaled deployment, especially in complex matrixed organizations.
- Extensive experience with modern ML frameworks (e.g., PyTorch, TensorFlow), MLOps tools, and cloud platforms (e.g., AWS, GCP, Azure).
- Ability to own and manage the predictive AI and agentic AI platform including visioning, roadmap creation, execution, and impact measurement.
- Expertise in driving platform improvements based on measurement and optimization insights.
- Fluency / comfort with data systems, technology platforms, and integrations to inform strategic product decisions.
- Experience working in an agile setting or bringing agile best-practice mentorship to the team.
Responsibilities
- Define, and be accountable for executing, a strategic roadmap for the Predictive Platform portfolio, establishing and ensuring adherence to business product and technology policies and standards while collaborating with senior leadership and key stakeholders.
- Define and oversee the full lifecycle strategy for the platform suite from identifying and integrating AI solutions to sunsetting legacy offerings, optimizing for overall suite performance, with evolving business priorities.
- Partner with the Informatics (IX) team to develop a scalable, secure, and compliant ML/AI platform ecosystem — from experimentation to production deployment.
- Lead the development of cutting-edge methodologies in areas such as predictive and prescriptive modeling, time-series and causal inference, graph ML and network science, natural language processing and LLM fine-tuning.
- Lead development of reusable AI/ML components and enterprise models across CMG domains such as HCP/patient engagement, forecasting, field force optimization, and real-world data analytics.
- Oversee architecture and technical strategy for end-to-end ML workflows, including data pipelines, feature stores, model training/validation/deployment, and performance monitoring.
- Partner with IX to ensure adoption of best-in-class MLOps practices to scale reproducible, automated, and compliant data science, ML, and AI development across use cases.
Other
- Master degree in Data Science, Computer Science, Engineering, Statistics, or related field required; Ph.D. preferred.
- 12+ years of experience, with 5+ years in data science, AI/ML within healthcare, life sciences, or highly regulated industries.
- Strong leadership and team management abilities, with experience in coaching, developing, and inspiring talent.
- Excellent communication and leadership abilities to drive change, influence stakeholders, and evangelize the product vision.
- This position is based in South San Francisco, CA and relocation assistance is available
