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Tier-1 brand and metro location increase competition, but senior, niche AI governance focus moderates applicant density.
Role's investor-operations context and model-risk/regulatory requirements make cross-industry transfers difficult.
Strong technical AI fluency, model governance, and regulatory requirements will filter candidates moderately strictly.
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Oversee and manage the end-to-end Investor Operations AI book of work, ensuring prioritization, execution, and measurable value delivery.
Provide technical oversight and guidance on AI solution design, model selection, and implementation, ensuring alignment with enterprise platforms and regulatory requirements.
Drive cross-team alignment to maximize reuse of AI models and components, promote standardized approaches, and support model risk management and governance.
Strong technical fluency in AI tools, models, and architectures including machine learning, NLP, LLMs, and Intelligent Document Processing.
Experience with Python-based ecosystems, enterprise or cloud AI platforms, and AI deployment patterns (APIs, batch vs real-time).
Bachelor's/University degree or equivalent experience.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing complex AI initiatives with measurable impact in financial services or operations environments.
Capable of credible technical challenge and partnership with engineering and data science teams focused on scalable, practical AI solutions.
Background in AI solution governance, model risk management, and regulatory compliance within a large enterprise context.