Asst Dir-Data Operations (Team Lead)

qualifications are considered an advantage.

Responsibilities Lead the end-to-end delivery of generative AI–powered, agentic workflow solutions while developing a high-performing Data Operations team and partnering closely with product, technology, and client-facing stakeholders. Lead, mentor, and develop a team of Data Operations Specialists (Gen-AI), setting clear goals and fostering a culture of innovation, accountability, and continuous improvement. Define and manage team capacity, workflows, and quality standards to ensure consistent, high-quality delivery across all agentic workflow initiatives. Provide regular developmental feedback and build team capability in prompt engineering, AI tooling, and financial domain knowledge. Drive cross-functional collaboration with product managers, engineers, and go-to-market teams to align delivery priorities with business objectives. Oversee the design, implementation, and operationalization of agentic workflows tailored to client needs across multiple use cases. Ensure AI-generated outputs meet standards for quality, factual accuracy, and contextual relevance across diverse client segments. Govern the creation and maintenance of prompt libraries, output templates, and evaluation frameworks to enable scalable and repeatable delivery. Partner with product and technology teams to translate client

requirements into clear workflow specifications and acceptance criteria. Serve as a senior point of escalation for client adoption challenges, supporting account teams to resolve issues and ensure successful onboarding. Engage directly with clients and prospects to gather feedback, document use case

requirements, and validate workflow outputs. Prepare and present workflow demonstrations, evaluations, and pilot results to internal stakeholders and external clients. Synthesize delivery insights into structured, actionable product feedback for engineering and product leadership. Establish, track, and report KPIs related to workflow quality, delivery velocity, and client satisfaction. Stay current with advances in the generative AI landscape, including agent-to-agent protocols and evolving LLM capabilities. Champion best practices in AI governance, output validation, and responsible AI usage across all team deliverables.

About

the Team The Digital Content & Innovation team at Moody’s Analytics brings together diverse perspectives to transform risk and data into actionable insights for global financial markets.

The team operates at the intersection of product innovation, advanced analytics, and client delivery, with a strong emphasis on collaboration, curiosity, and responsible use of emerging technologies. Team members are encouraged to think creatively, share ideas openly, and contribute to building scalable, trusted AI-driven solutions that support Moody’s commitment to integrity and excellence. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the

requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

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