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Asst Dir-Data Operations

Heredia, Provincia de Heredia

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Posted
04/29/2026
Job reference
13314
Experience level
Experienced Hire
Job category
Operations
Line of business
DC&I

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. 


Skills and Competencies
  • 3–6 years of experience in a team lead or management role within a technology, data, or AI-driven environment.
  • Demonstrated ability to build, motivate, and develop high-performing teams while managing performance and providing ongoing coaching.
  • Strong project and delivery management skills with experience managing multiple concurrent workstreams across cross-functional stakeholders.
  • Hands-on experience with generative AI tools, prompt engineering, and automation platforms such as OpenAI- or Anthropic-based solutions.
  • Solid understanding of agentic workflow concepts, LLM orchestration, and AI evaluation methodologies.
  • Proficiency in designing prompt pipelines, output templates, and quality evaluation frameworks to support scalable delivery.
  • Experience with retrieval-augmented generation (RAG), tool use, or multi-step agent workflows is strongly preferred.
  • Familiarity with financial content such as 10-Ks, credit memos, annual reports, or KYC documentation; credit analysis exposure is an advantage.
  • Excellent written and verbal English communication skills, with the ability to explain complex AI concepts to both technical and non-technical audiences.
  • Proven ability to manage client relationships, gather structured feedback, and collaborate effectively in a fast-paced, iterative product environment.
Education
  • Bachelor’s degree in Computer Science, Data Science, Finance, Business Administration, or a related field.
  • Advanced degree or relevant professional 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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