Director-Product Manager

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, 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.

• 7+ years of demonstrable experience in core product management practices (road mapping, prioritization, feature definition), particularly in dynamic project environments where scope and requirements evolve
• Minimum of 10 years' experience collaborating with cross-functional teams across business units and geographies to drive alignment and execution. Experience working with senior stakeholders is highly preferred
• 7-10 years' experience in systematic requirements gathering, stakeholder interviewing, and managing risks when project parameters are unclear
• Experience with in financial services, particularly involving large datasets and statistical modeling, is preferred
• Proven ability to analyze, optimize, or establish new GenAI workflows to improve efficiency, scalability, and cross-functional alignment
• Demonstrated ability to communicate complex technical concepts in a clear, tailored manner to diverse stakeholders
• Demonstrable experience using GenAI to accelerate day-to-day product management activities, including research, requirements development, backlog creation, analysis, documentation, and prototyping
• Proficiency with Claude Code, Cursor, Microsoft Copilot, or similar tools, including creating reusable skills and orchestrated workflows
• Practical understanding of agents, sub-agents, hooks, evaluation methods, and human-in-the-loop controls for assessing and improving AI-generated work
• Familiarity with credit risk modeling concepts, methodologies, and their applications in financial services is preferred
• Experience using Jira and having a background in data analysis are preferred

• Bachelor's degree in a relevant field such as Finance, Economics, Mathematics, Data Science, Computer Science, Engineering, or a related discipline is required; an advanced degree is preferred

Lead discussions with product management and strategy teams to develop novel analytical solutions in environments where initial scope and requirements are unclear or evolving.

• Collaborate closely with research teams, data scientists, and business stakeholders to progressively define project requirements and scope boundaries
• Manage cross-functional teams working on complex projects involving large datasets, statistical modeling, and AI agent systems
• Conduct stakeholder interviews and requirements elicitation across multiple business segments to extract insights and clarify understanding
• Assess project feasibility, manage risks, and make informed decisions with incomplete information to ensure deliverable outcomes
  
  Translate research findings and technical capabilities into actionable product features that deliver measurable business value
• Navigate ambiguous project environments while maintaining focus on strategic objectives and business outcomes
• Embed AI into…