Project Manager - AI Enablement

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 ML/GenAI Delivery in Enterprise: 5+ years of experience leading end-to-end delivery of AI/Machine Learning initiatives across complex environments Agile Leadership: Coaches Scrum/Kanban practices; drives ceremonies and continuous improvement Backlog & Execution: Builds, prioritizes, and manages backlogs; aligns scope, timeline, and quality across squads Stakeholder Communication: Delivers project status updates, manages dependencies/risks, and facilitates decisions Project Reporting & Governance: Maintains dashboards and documentation; enforces delivery standards and controls Tools: Jira, Confluence, Agile estimation (story points, velocity, burndown) Technical Fluency (Preferred): Working knowledge of data science workflows, coding concepts, AWS, and enterprise deployments Multi-Squad Coordination (Preferred): Experience scaling delivery across regions and cross-functional teams Familiarity with Machine Learning and GenAI tools and frameworks Good knowledge of finance concepts, notably financial analysis Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency Proven ability to implement AI-powered solutions to solve business challenges Education Bachelor’s or master’s degree in computer science, engineering, or a related field is preferred. Candidates with business-related degrees will also be considered, provided they have prior hands-on technical experience Professional certifications such as PMP (Project Management Professional), AWS Certified Cloud Practitioner, or equivalent delivery/Agile certifications (e.g., SAFe, Scrum Master) are highly desirable