Associate Director - Data Science (Data Monetization)

Lead development of intelligent AI/ML frameworks and architectures to enhance data science capabilities across enterprise platforms.

Drive AI-enabled content classification and metadata enrichment to improve discoverability, standardization, and content lifecycle governance.

Collaborate with product leadership to integrate AI-driven content intelligence into product roadmaps and mentor teams on AI-driven workflows.

Bachelor's degree or equivalent experience; Master's degree preferred.

15+ years of experience in product, engineering, or technical leadership roles.

Strong expertise in engineering architecture, systems thinking, and scaling AI-driven product workflows.

Candidates must participate in onsite interviews; use of AI tools during recruitment is prohibited.

Experienced leader at the intersection of Data Science, Product Management, and domain expertise in regulatory/market content.

Proven capability to operate within complex, matrix-structured organizations and align technical execution with business goals.

Strong background in building scalable AI-driven systems for content classification and autonomous decision frameworks.