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 meaningfully to each other and our customers. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we are 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.

We are seeking an Associate Director-Product Manager to lead product management for an enterprise Knowledge Graph platform that connects data and engineering teams to power analytics, search, and next-generation GenAI applications. This role will advance Moody's Risk Insights business by building solutions that address new and existing challenges across the organization.

Key responsibilities include leading the structured evaluation of Knowledge Graph technologies, sourcing and prioritizing use cases, translating ambiguous business problems into precise engineering requirements, owning the product roadmap, managing agile ceremonies, and serving as the primary liaison between business sponsors, domain experts, and technical teams. You will also define onboarding paths for new use cases, drive platform adoption, and continuously improve the product roadmap.

Joining our Risk Insights team means contributing to innovative work that leverages data, technology, and AI to make the world safer by making it harder for bad actors to evade sanctions or launder proceeds from crimes ranging from fraud to human trafficking.

Experience
- 5+ years of experience in sanctions, anti-money laundering, fraud, investigations, export control, or adjacent regulatory domains with deep domain knowledge
- Strong technical literacy including ability to read schemas, review queries, and discuss data modeling trade-offs with engineers
- Understanding of graph data modeling concepts such as nodes, edges, properties, ontologies, taxonomies, RDF vs property graphs, and entity resolution
- Proven ability to translate ambiguous business problems into precise functional and non-functional engineering requirements
- Excellent stakeholder management skills to align senior business sponsors, subject matter experts, and engineering leads
- Strong project management skills including agile/scrum, backlog hygiene, dependency tracking, and risk management
- Preferred: 5+ years of product management experience, with at least 2+ years on data, platform, or AI/ML products
- Preferred: Familiarity with vector databases, semantic search, large language models, retrieval-augmented generation architectures, data catalogs, and lineage tools
- Deep expertise in artificial intelligence with a track record of implementing advanced AI solutions, managing AI-related risks, ensuring ethical governance, and fostering responsible AI adoption

About you
Invests in every relationship, leads with curiosity, champions diverse perspectives, turns inputs into actions, and upholds trust through integrity. You are motivated to drive innovation in a complex, fast-paced environment and passionate about leveraging AI and data to solve critical financial crimes challenges.

Qualifications
Bachelor's degree in any discipline is required; backgrounds in international relations, political science, law, economics, area studies, or similar are as relevant as technical degrees. Equivalent practical experience will also be considered in lieu of a formal degree.