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Tier-1 brand and metro location, but niche AI operations focus reduces generalist competition.
Strong banking model risk and governance requirements make cross-industry transferability limited.
Mandatory AI technical fluency, model governance, and regulated banking context increase selection rigor.
Oversee and deliver the Investor Operations AI book of work, including prioritisation, 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 expectations.
Drive cross-team alignment, reuse of AI capabilities, model risk management, governance, and scaling of AI initiatives across functions and regions.
Strong technical expertise in AI, including machine learning, NLP, Large Language Models (LLMs), and Intelligent Document Processing (IDP).
Experience with Python ecosystems and enterprise or cloud AI platforms.
Bachelor's or University degree or equivalent experience.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing complex AI projects within financial services or similarly regulated environments, balancing technical and governance aspects.
Capable of engaging credibly with engineering and data science teams to challenge and guide AI model development and deployment.
Effective at coordinating across multiple teams to maximize reuse and adoption of AI tools and best practices in a large enterprise setting.