Director-Product Manager

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 day-to-day product management workflows to streamline discovery, stakeholder synthesis, requirements definition, Jira story creation, analysis, documentation, and delivery planning
• Identify repetitive PM activities and convert them into reusable AI skills, agents, or automated workflows that improve speed, consistency, and scalability
• Apply structured and adversarial evaluation to AI-generated outputs, ensuring accuracy, traceability, responsible use, and appropriate human oversight
• Coordinate with senior business leaders to align product initiatives with organizational goals and market opportunities

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

Nice to have

• Experience within 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
• An advanced degree is preferred

• Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.