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Metro location and popular senior data role balanced by niche LLM and ML leadership requirements.
Role requires specialized ML/LLM technical leadership and governance experience, limiting cross-industry transferability.
Explicit 8+ years requirement plus mandatory LLM, ML frameworks, and Azure experience increases filter strictness.
Set strategic priorities and manage team focus across AI Enablement and AI Experiments, ensuring measurable organizational progress.
Serve as primary liaison to internal business teams to translate workflows and pain points into technical actions; collaborate with product teams on AI exploration aligned with product direction.
Lead team operations including resource allocation, project evaluation, technology roadmap decisions, AI governance, and AI infrastructure cost optimization.
At least 8 years experience in technical product management, engineering management, or similar leadership roles in AI/ML or data-driven product development.
Advanced proficiency in Python; strong understanding of LLM-based systems and ML frameworks like TensorFlow, PyTorch, Sci-Kit Learn.
Hands-on experience with Azure cloud infrastructure for AI deployment and scaling.
Bachelor's degree in Computer Science, Data Science, Statistics, IT, or closely related discipline.
Experienced leader capable of balancing strategic priorities across AI experimentation and enablement with business stakeholder alignment.
Technically proficient in broad AI/ML ecosystem including LLM systems, ML lifecycle tools, and infrastructure cost management.
Skilled in AI governance, compliance best practices, and operational leadership in complex AI-driven environments.