Experteer Overview
In this role, you own a scalable entity matching platform that links ingestion, search relevance, and matching accuracy to client integrations. You’ll steer the Moody's Global Match product from discovery to release and post-launch iteration, partnering with engineering, data, and partners to deliver measurable value. You’ll shape the roadmap, write clear requirements, and monitor performance to drive continuous improvement in risk data workflows. This is a chance to advance AI-enabled risk insights at scale within a cross-functional team.

Compensaciones / Incentivos
• Own and advance the Moody's Global Match platform from discovery to post-launch iteration, including partner integration
• Manage the product lifecycle end-to-end with moderate guidance
• Own and maintain the product roadmap based on user value, business impact, and technical effort
• Write product requirements, user stories, acceptance criteria, and integration guides for technical and non-technical audiences
• Define and monitor product and pipeline metrics (match accuracy, ingestion latency, API throughput, data quality, user adoption) and use insights to prioritize work
• Lead agile ceremonies (sprint planning, backlog refinement, stand-ups, retrospectives) to ensure disciplined delivery
• Identify user/partner needs via stakeholder engagement, interviews, usability testing, and solution validation
• Serve as product point of contact for integration partners and cross-functional teams, communicating progress, trade-offs, risks, and blockers
• Own the data ingestion lifecycle roadmap (source connectors, processing workflows, storage, indexing,



recency, quality) to support accurate entity matching
• Collaborate with engineering to evaluate data normalization, embedding, indexing, retrieval, and search relevance approaches and translate trade-offs into product decisions
• Work with data quality teams to manage content backlogs, ingestion guardrails, data integrity, and outputs for large language models
• Improve workflows and operating practices to reduce delivery friction and increase measurable product improvements

Responsabilidades
• 5–8 years of product management experience leading an API, data platform, or technically complex product end-to-end
• Strong knowledge of entity resolution, entity matching, reference data management, data ingestion pipelines, and ETL/ELT workflows
• Technical fluency in search and data architecture (OpenSearch or Elasticsearch), data normalization, embedding models, vector databases, indexing, and retrieval strategies
• Ability to translate engineering and user needs into clear product requirements, user stories, acceptance criteria, roadmaps, and priorities
• Strong cross-functional leadership and stakeholder management with experience coordinating engineering, data, design, customer success, strategy, and partners
• Proficiency with agile delivery tools, product metrics, structured user research, and data-driven decision-making
• Understanding of Generative AI technologies and their application in product development
• Familiarity with large-scale batch processing, search relevance, ML ranking, generative AI, or financial/risk data platforms preferred

Requisitos principales
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📌 Let's begin! Assistant Director - Product Manager (Barcelona)
🏢 moodys
📍 Barcelona