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Tier-1 brand, metro location, mid-level AI operations role increases applicant density and competition.
Role needs AI governance and financial/regulatory expertise, reducing cross-industry transferability.
Requires AI governance and technical fluency but lacks explicit years, so screening uses skill-based filters.
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Manage and deliver the Investor Operations AI book of work, including prioritization, execution, and value delivery.
Oversee AI solution design, ensuring alignment with enterprise platforms, standards, and regulatory requirements.
Drive cross-team alignment to maximize reuse of AI models and components, and support governance and model risk management across AI initiatives.
Strong technical fluency in AI tools, models, and architectures including ML, NLP, LLMs, and Intelligent Document Processing (IDP).
Experience with AI solution building, including data pipelines, feature engineering, model evaluation, and deployment patterns.
Proficiency in Python-based ecosystems and familiarity with enterprise or cloud AI platforms.
Bachelor's/University degree or equivalent experience; Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing AI operations within financial or investor operations contexts, capable of coordinating multiple AI use cases.
Skilled in collaborating and challenging engineering and data science teams to ensure practical and scalable AI solutions.
Familiar with AI governance, validation, regulatory compliance, and embedding controls across AI model lifecycles.