Location
London

Hours
Full Time

Salary
Negotiable

About the Role
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities by fostering an inclusive environment where everyone feels welcome to be themselves—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. As a global leader in ratings and integrated risk assessment, Moody’s is transforming how the world sees risk by 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.

This Director role plays a critical leadership position within the GenAI product function, managing a group of 2–3 Product Managers and providing hands-on guidance across their squads. You will lead, mentor, and coach your team to ensure strong execution and professional growth while setting and maintaining a high quality bar for product management outputs, including user stories and requirements documentation. Partnering closely with the Director of GenAI Products, you will contribute to and execute the GenAI product roadmap.

You will engage with strategy, business partners, and clients to validate priorities and surface new product opportunities, serve as the primary escalation point for Product Managers by resolving blockers and managing cross-squad dependencies, and establish a consistent operating rhythm across squads including planning, prioritization, and retrospectives. Defining, tracking, and using product KPIs to guide prioritization and continuous improvement will be key, as will driving cross-functional collaboration across technology, design, operations, and strategy teams.

The Digital Content & Innovation product organization at Moody's Analytics delivers client-focused digital solutions that enable customers to assess risk and make informed decisions. The GenAI product team builds on Moody's trusted data, research, and platforms to develop innovative AI-powered capabilities, including agentic solutions and APIs, empowering clients to access and act on Moody's intelligence in new and impactful ways.

Moody’s is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will receive consideration without regard to any protected characteristic.

Experience
- Extensive product management experience, typically 10+ years, within financial services, fintech, or risk management software environments
- At least 3 years of people leadership experience managing and developing product managers
- Proven ability to lead multiple product squads, manage cross-team dependencies, and balance strategy with execution
- Deep understanding of generative AI, large language models, and agentic AI products
- Strong command of agile methodologies and continuous improvement practices driven by retrospectives and KPIs
- Excellent market analysis, competitive intelligence, and client research capabilities to inform product direction
- Data-driven and user-centric approach to product discovery and decision-making
- Strong communication and stakeholder management skills, with ability to influence senior and cross-functional partners
- Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency
- Experience using AI tools to lead innovation initiatives
- Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption

About you
You are a strategic and hands-on leader passionate about AI and product innovation. You thrive in a collaborative environment, excel at mentoring teams, and are adept at balancing long-term vision with day-to-day execution. You value diversity of thought, act with integrity, and are committed to driving responsible AI adoption across the organization.

Qualifications
Bachelor's degree required; advanced degree in business, technology, data science, or a related field preferred.