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Senior, niche AI leadership role in a metro with a known brand yields moderate candidate competition.
Requires deep AI/ML, product and domain expertise, making cross-industry transfers difficult.
Explicit 15+ years requirement plus deep ML, architecture and leadership skills implies high shortlisting strictness.
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Lead development of AI/ML frameworks integrating data science into product capabilities to enhance operational efficiency and innovation.
Manage AI-driven content intelligence including classification, metadata enrichment, and lifecycle governance to improve discoverability and standardization across platforms.
Collaborate cross-functionally to align AI initiatives with business goals and mentor teams on AI-enabled workflows for scalable, high-quality outcomes.
Bachelor's degree or equivalent experience; Master's preferred.
15+ years in product, engineering, or technical leadership roles.
Strong expertise in engineering architecture and scaling AI-driven workflows.
Candidates must participate in onsite/in-person interviews as per recruitment process requirements.
Experienced leader at the intersection of data science, product management, and domain intelligence in regulated and compliance-driven environments.
Skilled in leading complex, matrixed teams and driving enterprise-scale AI/ML product systems.
Proficient in operating with systems thinking and scaling AI workflows within cloud-based architectures.