Director, Product Management - Risk Data

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.

• 10+ years product management experience in insurance, reinsurance, catastrophe modeling, or geospatial risk analytics
• Deep understanding of property & casualty workflows including underwriting, exposure management, portfolio risk, and event response
• Strong background in geospatial intelligence and location-based data applications
• Experience delivering data-driven user experiences and workflow-centric SaaS applications
• Proven ability to lead cross-functional initiatives across UX, platform, engineering, and modeling teams

• Familiarity with hazard data, event footprints, loss modeling, and Cat workflows
• Understanding of exposure data standards (OED, EDM, CEDE) and address/location quality frameworks
• Experience integrating third-party risk data providers and real-time event feeds
• Industry visibility — published insights, conference speaker, working groups, or committees advantageous
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible practices, including risk management and ethical use.

We are seeking a Director of Product Management to lead the vision, strategy, and execution for delivering enriched risk data and geospatial intelligence into business-user workflows across the Intelligent Risk Platform (IRP).

This role does not build or engineer the data itself. Instead, you will:

Define how enriched risk data (ERD), data quality tools (DQT), and third-party hazard/event data are exposed and activated across IRP applications.

Build the user experiences, workflows, and decision-support interactions that enable underwriters, exposure managers, portfolio analysts, and reinsurance professionals to consume and apply this data.

Ensure each IRP application —Underwrite

IQ, Exposure

IQ, Risk Modeler, Treaty

IQ, and others —leverages the right data in the right context based on user persona, job-to-be-done, and industry use case.

You will be the bridge between:

IRP data & platform teams (who build/ingest/enrich data), and

Application product teams & customers (who need actionable insights and workflows powered by that data).

Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use.

• Own the vision and roadmap for risk data experiences across the IRP application suite.
• Define how risk enrichment, data quality scoring, event data, and geospatial intelligence fuel underwriting, accumulation, portfolio, treaty, and event-response workflows.
• Establish a data-to-decision experience strategy that increases user productivity, transparency, and insight delivery at the point of decision.

• Translate enriched data outputs into context-aware UI experiences, visualizations, and…