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Tier-1 brand and metro location increase applicant density despite senior, niche role.
Role demands deep ML/AI leadership in regulated biotech, limiting cross-industry transferability.
Explicit 18-23 years, Director scope, regulated environment and deep ML/AI requirements create strict shortlisting filters.
Own and lead multi-department Machine Learning and automation delivery for AI Studio, managing multiple digital product teams and key automation platforms.
Define and execute AI/ML engineering strategy aligned to business, scientific, and technology priorities, including portfolio investment logic and operational outcomes.
Build and lead leadership systems across departments, ensuring accountability, resource allocation, and governance for AI/ML investments and products.
Degree in Computer Science, Engineering, or related field.
18-23 years of experience with demonstrated Director-level scope.
Proven leadership of advanced AI/ML portfolios or major programs spanning multiple departments or product areas with measurable impact.
Experience with AI/ML libraries/frameworks (e.g., Keras, PyTorch, scikit-learn, LangChain, llamaindex).
Experienced in strategic leadership of enterprise-scale AI/ML initiatives including production ML/AI, GenAI, evaluation, lifecycle, platform, and governance.
Ability to influence executive stakeholders and cross-functional partners including scientific, business, product, data/platform, security, and compliance teams.
Track record of building high-performing leadership teams with strong accountability and succession systems in complex, regulated environments.