At a Glance
- Tasks: Lead AI product development and enhance user experiences through innovative automation.
- Company: Moody's is a global leader in data-driven solutions for compliance and risk management.
- Benefits: Enjoy a diverse workplace, opportunities for growth, and the chance to shape AI's future.
- Other info: Open to applicants who may not meet every requirement—your unique perspective matters!
- Why this job: Join a team that values creativity, collaboration, and making a real impact in AI technology.
- Qualifications: 5+ years in product design, strong AI/ML knowledge, and a degree in a relevant field.
The predicted salary is between 48000 - 72000 £ per year.
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.
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.
Skills and Competencies
- 5+ years of experience in the sanctions, anti-money laundering, fraud, investigations, export control and/or adjacent regulatory spaces, with deep working knowledge of the domain
- Strong technical literacy including the ability to read schemas, review queries, and discuss data modeling trade-offs with engineers
- Understanding of graph data modeling concepts including nodes, edges, properties, ontologies and taxonomies, RDF vs property graphs, and entity resolution
- Proven track record of translating ambiguous business problems into precise functional and non-functional engineering requirements
- Excellent stakeholder management skills with the ability to align senior business sponsors, subject matter experts, and engineering leads around a shared plan
- 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 adjacent technologies such as vector databases, semantic search, large language model and retrieval-augmented generation architectures, data catalogs, and lineage tools
- Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong 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 across the organization
Education
- Bachelor's degree in any discipline; backgrounds in international relations, political science, law, economics, area studies, or similar are as relevant to this role as technical degrees, and often more so
- Equivalent practical experience will be considered in lieu of a formal degree
Responsibilities
Leads product management for an enterprise Knowledge Graph platform, connecting data and engineering teams to power analytics, search, and next-generation GenAI applications.
- Advance Moody's Risk Insights business to build solutions that address new and existing problems across the organization
- Lead the structured evaluation of Knowledge Graph technologies - defining evaluation criteria, running proofs of concept with engineering, documenting trade-offs, and driving build-vs-buy decisions
- Source, qualify, and prioritize Knowledge Graph use cases across product sub-teams, maintaining a transparent backlog with clear value hypotheses, success metrics, and prioritization rationale
- Translate ambiguous business problems into precise functional and non-functional requirements covering ontology scope, data sources, query patterns, latency and scale targets, access controls, and integration points
- Own the product roadmap for the Knowledge Graph platform, run agile ceremonies, and manage dependencies across data, platform, and application teams to keep delivery on track
- Serve as the primary point of contact for business sponsors, domain experts, data owners, and consuming product teams - communicating progress, trade-offs, and risks clearly to both technical and non-technical audiences
- Define onboarding paths for new use cases, drive platform adoption, and feed learnings back into the roadmap to support continuous improvement
About the Team
Our Risk Insights team is responsible for identifying new ways to leverage Moody's data to solve new and existing problems. Part of this role will include scaling a Knowledge Graph which will form the foundational data infrastructure that unifies and contextualizes information across the organization, powering analytics, search, and next-generation GenAI and retrieval-augmented generation applications. By joining our team, you will be part of exciting work which strives to leverage data, technology and AI to make the world a better and safer place by making it harder for bad actors to evade sanctions or launder the proceeds of crimes as prevalent as fraud and as heinous as human trafficking.
Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
#J-18808-Ljbffr
Assc Dir-Product Manager employer: Moody's Investors Service
Moody's Investors Service is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among its teams. With a strong focus on employee growth, you will have access to continuous learning opportunities in cutting-edge technologies while working in a supportive environment that values security and efficiency. Located in a vibrant area, Moody's provides a unique advantage for professionals seeking meaningful and rewarding careers in the rapidly evolving field of cloud infrastructure.
StudySmarter Expert Advice🤫
We think this is how you could land Assc Dir-Product Manager
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially regarding large language models. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the AI and product management fields. Attend industry events or webinars where you can meet people from Moody's or similar companies. Building these connections can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with cross-functional collaboration. Be ready to share specific examples of how you've worked with engineers, data scientists, and other stakeholders to deliver successful products, as this is a key aspect of the role.
✨Tip Number 4
Showcase your problem-solving skills by thinking of innovative solutions to common challenges in AI product development. Being able to articulate your thought process and approach to overcoming obstacles will demonstrate your fit for the role.
We think you need these skills to ace Assc Dir-Product Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in product management, AI, and ML. Use specific examples that demonstrate your track record of delivering results and your understanding of large language models.
Craft a Compelling Cover Letter:In your cover letter, express your passion for AI-powered decision-making and how your skills align with Moody's values. Mention your customer-first mindset and your ability to collaborate cross-functionally.
Showcase Relevant Projects:Include details about any projects where you contributed to the design or launch of AI solutions. Highlight your hands-on experience with AI-assisted coding tools and your role in developing evaluation frameworks.
Demonstrate Cultural Fit:Reflect on Moody's commitment to inclusivity and diverse perspectives. Share experiences that illustrate how you invest in relationships, lead with curiosity, and uphold trust through integrity in your professional interactions.
How to prepare for a job interview at Moody's Investors Service
✨Showcase Your AI Knowledge
Make sure to highlight your understanding of large language models and AI technologies during the interview. Be prepared to discuss your hands-on experience with AI-assisted coding tools and how you've applied them in previous roles.
✨Demonstrate Cross-Functional Collaboration
Since the role involves working closely with AI engineers and domain experts, share examples of how you've successfully collaborated across teams in the past. Emphasise your ability to align goals and accelerate delivery through effective communication.
✨Focus on Customer-Centric Design
Prepare to discuss how you’ve designed human-in-the-loop systems or intuitive AI experiences that meet user needs. Show that you have a customer-first mindset by providing specific examples of how you've translated user pain points into actionable solutions.
✨Emphasise Problem-Solving Skills
Be ready to talk about your approach to problem-solving, especially in fast-paced environments. Highlight instances where you've balanced speed of delivery with innovation, and how this has led to successful product outcomes.
