Overview
In this role, you lead the Knowledge Graph platform to unify data and empower GenAI-enabled analytics across Moody's. You will partner with data, platform, and business teams to translate problems into platform capabilities and a clear backlog. You drive adoption, define criteria for evaluating graph technologies, and steer build-vs-buy decisions while shaping a responsible AI program. This is a chance to scale data infrastructure that underpins risk insights and smarter decision-making.
Responsibilities
- Lead product management for the enterprise Knowledge Graph platform, coordinating with data and engineering teams
- Advance Risk Insights solutions through platform-scale initiatives and GenAI applications
- Evaluate Knowledge Graph technologies via proofs of concept and trade-off documentation; guide build-vs-buy decisions
- Source and prioritize Knowledge Graph use cases with transparent value hypotheses and metrics
- Translate business problems into precise functional and non-functional requirements (ontology scope, data sources, latency, security)
- Own the product roadmap; run agile ceremonies and manage cross-team dependencies
- Serve as primary liaison for sponsors, domain experts, and product teams; communicate risks and trade-offs
- Define onboarding paths for new use cases and drive platform adoption to support continuous improvement
Key requirements
- 5+ years in sanctions, AML, fraud investigations, or related regulatory spaces with deep domain knowledge
- Strong ability to read schemas, review queries, and discuss data modeling trade-offs with engineers
- Understanding of graph data modeling (nodes, edges, ontology, RDF vs property graphs) and entity resolution
- Proven track record translating ambiguous problems into engineering requirements (functional/non-functional)
- Excellent stakeholder management to align sponsors, SMEs, and engineering leads around a plan
- Strong project management skills with agile/scrum, backlog hygiene, dependencies, and risk management
- stakeholder management
- communication with both technical and non-technical audiences
- ability to translate business problems into technical requirements
- Graph data modeling concepts (nodes, edges, properties, ontologies, taxonomies)
- RDF vs property graphs; entity resolution
- Knowledge Graph technologies evaluation; proofs of concept
Associate Director-Product Manager (Financial Crimes) in London employer: Moody's Corporation
At Moody's, we pride ourselves on being an exceptional employer, particularly for those in the AI/ML product management space. Our collaborative work culture fosters innovation and creativity, while our commitment to employee growth ensures that you will have ample opportunities to develop your skills and advance your career. Located in a vibrant city, we offer unique advantages such as access to cutting-edge technology and a diverse client base, making your contributions impactful and rewarding.
