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Strong employer brand plus metro location, but very senior and specialized reduces density.
Role demands senior ML/AI leadership and regulated-biotech experience, limiting cross-industry transferability.
Explicit 18-23 years plus Director-level portfolio and regulated-experience mandates make filters strict.
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Lead multi-department AI/ML engineering strategy and delivery for AI Studio, managing multiple digital product teams and automation platforms with lifecycle direction and operational support.
Own portfolio outcomes, resource allocation, standards for modeling and governance, ensuring reliable, responsible, and measurable AI/ML solutions across departments.
Represent AI/ML delivery strategy to senior management, build cross-department alliances, and ensure accountability for outcomes, talent, and continuous improvement.
Degree in Computer Science, Engineering, or related field.
18-23 years work experience with Director-level scope in AI/ML engineering leadership.
Demonstrated leadership of advanced AI/ML portfolios spanning multiple departments or product areas with measurable business, scientific, or operational impact.
Proficiency with AI/ML libraries and frameworks (e.g., Keras, PyTorch, scikit-learn, LangChain, llamaindex).
Experienced strategic leader in production ML/AI across enterprise, combining strong technical depth with governance expertise for modeling, GenAI, evaluation, and lifecycle management.
Capable of building and leading high-performing leadership teams with clear accountability, succession planning, and executive influence across diverse stakeholders.
Proven ability to manage large-scale AI/ML projects within regulated or complex global enterprises (e.g., biotech, pharmaceutical) with responsible AI and compliance focus.