Overview In this role you drive and translate Finance priorities into scalable data and AI products within a modern, AI-ready finance data ecosystem. You act as a bridge between Finance stakeholders, data teams, and AI specialists to deliver measurable business outcomes and ensure alignment with enterprise data strategy. You own end-to-end finance data products, guiding vision, backlog, and agile delivery, while enabling data governance, quality, and governance across key finance domains. You will shape foundational datasets, semantic models, and AI-enabled use cases to support better decision-making and automation.

Compensaciones / Beneficiosdiverse, outside-the-box thinking teamglobal and collaborative environmentpersonal growth opportunitiesrole with strategic impact on projectssupportive culture encouraging idea-sharing ResponsabilidadesDefine the product vision and roadmap for Finance Data & AI products aligned with Finance strategy and measurable outcomesTranslate Finance needs into clear data product capabilities, priorities, user stories, and acceptance criteriaOwn and manage the Finance data product backlog including prioritization and delivery clarityLead sprint, quarterly, and release planning for Finance data and AI product teamsCollaborate with Finance SMEs, data engineers, architects, governance teams, and AI specialists to build scalable finance data solutionsDrive delivery of foundational Finance data assets including curated datasets, semantic models, reporting layers, data quality controls, lineage, and AI-ready data productsPartner with Finance process owners to map and improve data flows across accounting, planning, consolidation, tax, treasury, and reportingEnsure data quality,



auditability, reconciliation, security, access control, and regulatory complianceIdentify opportunities to apply AI and automation to Finance use cases like anomaly detection, variance explanation, forecast support, and self-service insights Requisitos principalesStrong understanding of enterprise finance data ecosystems (ingestion, modelling, semantic layers, analytics, governance)Ability to write clear product requirements, user stories, and acceptance criteriaAnalytical skills to partner with Finance stakeholders and translate problems into actionable data/AI product requirementsEffective communication of complex finance, data, and AI concepts to technical and non-technical stakeholdersHigh ownership and outcome-driven executionFamiliarity with cloud data platforms and modern analytics ecosystems (AWS, Azure, GCP, Databricks, Snowflake, Power BI, dbt)Finance domain expertise across accounting, controlling, planning, consolidation, tax, treasury, working capital, performance managementExperience with Finance systems and data structures (SAP ECC, SAP S/4HANA, Central Finance, SAP Group Reporting, BW)Understanding of core Finance data objects (GL, COA, company code, profit center, cost center, assets, vendors, customers, journal entries, actuals, budgets)Awareness of finance control requirements (reconciliation, lineage, access management)Ability to define and monitor product success metrics and business value realizationStrong cross-functional collaborationAnalytical mindset with structured problem solvingClear and concise communicator to both technical and non-technical stakeholdersData governanceData integration and modellingSemantic layers

📌 Data & AI Product Manager - Finance - barcelona
🏢 Jobrapido
📍 Barcelona