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Tier-1 brand, metro location, and broad AI skillset increase candidate competition.
Strong domain bias toward ML/AI leadership with banking governance and MLOps, limiting cross-industry transferability.
Senior VP role with mandatory technical leadership, enterprise governance, and specialized ML/AI/MLOps skills.
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Lead and mentor a team of AI engineers and automation specialists to design, build, and deploy AI-driven solutions transforming Third-Party Management processes.
Own the technical vision and manage end-to-end delivery of AI projects including LLMs, RAG, agentic AI, Python automation, and intelligent workflows using tools like Xceptor.
Partner with senior business and cross-functional teams to ensure scalable, compliant AI solutions delivering measurable business impact.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related; Master’s preferred.
Proven leadership experience managing and developing technical teams in AI, software engineering, or data science.
Strong hands-on Python programming skills and experience building REST APIs/backend applications.
Work Experience Required: Proven track record delivering complex technical AI/automation projects and managing stakeholder relationships.
Experienced in strategic leadership of AI/automation teams with responsibility for talent development and team performance.
Deep technical expertise in AI/ML applications including LLMs, RAG, agentic AI, and automation platforms (e.g., Xceptor).
Comfortable operating in regulated, compliance-driven environments such as banking or financial services with stakeholder impact at senior levels.