Technical Project Manager (Senior Business Analyst)

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. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use

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

Responsibilities

• Oversee planning, execution, and release of multiple ML/Gen AI projects aligned with strategic objectives
• Manage dependencies across internal and external squads, ensuring smooth progress and timely delivery of product increments
• Facilitate quarterly planning and roadmap alignment with engineering and product teams
• Champion Agile methodologies (Scrum, Kanban) and coach cross-functional teams to embed Agile mindsets
• Facilitate ceremonies, retrospectives, and workshops to foster adaptability and innovation
• Engage with senior stakeholders across the organization, including analytical and technology teams
• Ensure transparency through dashboards, objectives and key results, and performance reporting
• Assist with running product pilot programmes, product rollouts, user feedback collection in the product management cycle
• Identify and mitigate delivery risks proactively
• Track quality metrics and drive continuous improvement
• Partner with data science, ML operations, and front-end teams to optimise release processes and reduce time-to-market
• Ensure alignment of delivery with product vision and business strategy

About The Team

Moody’s Ratings’ AI Analytics group develops advanced ML/GenAI for high-profile data science initiatives. The successful candidate will guide teams in building robust, scalable, and secure ML/Gen AI solutions. The successful candidate will strive to meet Moody’s values: openness, diversity, inclusivity, respect, and a willingness to learn.

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.