AI Automation Lead-Vice President

Analytics & Information Management (AIM) – Third-Party Management ## ## Role Overview We are seeking a visionary and experienced leader to serve as the Vice President for our AI and Automation team. In this role, you will lead a specialized team of AI engineers and automation experts to design, build, and deploy enterprise-grade intelligent solutions. Your primary objective will be to transform how Third-Party Management assesses, monitors, and manages supplier and vendor risks through the strategic application of AI and automation technologies like Python and Xceptor. This senior role requires a blend of deep technical expertise, strategic vision, and exceptional people leadership. The successful candidate will be responsible for setting the team's technical direction, managing the end-to-end delivery of complex projects, and fostering the growth of a high-performing team. You will act as a key partner to business leaders, data engineers, and enterprise governance teams to deliver scalable, compliant, and impactful AI capabilities. ## ## Key Responsibilities ## ## Team Leadership & Strategy * Lead and Mentor: Build, manage, and mentor a high-performing team of AI engineers and automation specialists in India. Foster a collaborative and innovative culture. * Strategic Planning: Define and execute the strategic roadmap for AI and automation within the Third-Party Management function, aligning with broader business objectives. * Talent Development: Oversee the career development, performance management, and recruitment of team members. * Technical Vision: Establish the team’s technical vision and standards for building AI models, automation workflows, and intelligent applications. ## ## Solution Delivery & Technical Oversight * Oversee Development: Manage the end-to-end lifecycle of AI solutions, from ideation and design through to deployment and production support. This includes solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI architectures. * Provide Guidance: Offer expert technical guidance and architectural oversight on projects involving AI-powered copilots, knowledge assistants, and complex workflow automation using Python and Xceptor. * Ensure Quality: Champion engineering excellence by ensuring the team delivers clean, modular, and production-ready code for reusable AI services, APIs, and components. * Manage Delivery: Direct the development of multi-agent workflows and the engineering of enterprise knowledge repositories using vector databases and knowledge graphs. ## ## Program & Stakeholder Management * Business Partnership: Serve as the primary point of contact for senior business stakeholders to understand strategic challenges, identify opportunities for AI, and ensure solutions deliver business value. * Cross-Functional Collaboration: Drive collaboration with technology, architecture, cybersecurity, data engineering, and AI governance teams to ensure seamless integration and compliance. * Program Management: Manage the team’s project portfolio, defining priorities, allocating resources, and communicating progress to leadership. ## ## Governance & Best Practices * Enforce Compliance: Ensure all AI solutions strictly adhere to enterprise governance, security, and model risk management requirements. * Champion Best Practices: Establish and promote best practices for MLOps/LLMOps, including model evaluation, monitoring, auditability, and explainability. * Drive Innovation: Stay abreast of industry trends and continuously evaluate new technologies and methodologies to enhance the team's capabilities and efficiency. ## ## Required Qualifications * Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related discipline. Master’s degree preferred. * Proven leadership experience, with a strong track record of managing and developing a team of technical professionals (engineers, data scientists). *...