This job is with Moody's, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. 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. 5-8 years of product management experience, including independently leading an application programming interface (API), data platform, or technically complex product from discovery through launch and post-launch improvement ~ Strong knowledge of entity resolution, entity matching, reference data management, data ingestion pipelines, and extract, transform, load or extract, load, transform workflows ~ Technical fluency in search and data architecture, including OpenSearch or Elasticsearch, data normalization, embedding models, vector databases, indexing, chunking, and retrieval strategies ~ Strong cross-functional leadership and stakeholder management skills, with experience coordinating engineering, data, design, customer success, quality control, strategy, enterprise clients, and integration partners. ~ Proficiency with agile delivery tools and practices, product metrics, structured user research, and data-driven decision-making ~ Demonstrated understanding of Generative AI technologies and their application within product development environments ~ Familiarity with large-scale batch processing, search relevance, machine-learning ranking, generative artificial intelligence, or financial and risk data platforms is preferred Bachelor’s degree required. A master’s degree in Business, Computer Science, Information Systems, Economics, or a related field is preferred Independently manage the product lifecycle for Moody’s Integral Match, from discovery and requirements definition through release, partner integration, and post-launch iteration,



operating with moderate guidance Define and monitor measures of product and pipeline performance, including match accuracy, ingestion latency, application programming interface throughput, hit rate, data quality, and user adoption, and use insights to guide prioritization Lead agile delivery ceremonies, including sprint planning, backlog refinement, stand-ups, and retrospectives, to support alignment, delivery discipline, and predictable execution Identify user and partner needs through structured stakeholder engagement, moderated interviews, usability testing, and solution validation Own the roadmap for the data ingestion lifecycle, including source connectors, data processing workflows, storage, indexing, data recency, completeness, and quality controls that support accurate entity matching Partner with engineering to evaluate data normalization, chunking, embedding, indexing, retrieval, and search relevance approaches, and translate architectural trade-offs into product decisions Collaborate with data quality and quality-control teams to manage content backlogs, establish ingestion guardrails, preserve data integrity, and improve downstream matching and large language model-ready outputs Our Data & Information Technology team develops and supports data products and technology capabilities that help customers and internal teams access, align, and use Moody’s information effectively.

The team brings together product management, engineering, data, design, customer success, strategy, and quality expertise to improve entity resolution, strengthen data ingestion and search capabilities, and enable reliable integrations. By joining the team, you will help shape a scalable matching platform used across enterprise data and analytics workflows. 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.

📌 Assistant Manager - Products (Barcelona)
🏢 Moody'S
📍 Barcelona