Experteer 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 / Ventajas
• Define the product vision and roadmap for Finance Data u0026 AI products aligned with Finance strategy and measurable outcomes
• Translate Finance needs into clear data product capabilities, priorities, user stories, and acceptance criteria
• Own and manage the Finance data product backlog including prioritization and delivery clarity
• Lead sprint, quarterly, and release planning for Finance data and AI product teams
• Collaborate with Finance SMEs, data engineers, architects, governance teams, and AI specialists to build scalable finance data solutions
• Drive delivery of foundational Finance data assets including curated datasets, semantic models, reporting layers, data quality controls, lineage, and AI-ready data products
• Partner with Finance process owners to map and improve data flows across accounting, planning, consolidation, tax, treasury, and reporting
• Ensure data quality, auditability, reconciliation, security, access control, and regulatory compliance




• Identify opportunities to apply AI and automation to Finance use cases like anomaly detection, variance explanation, forecast support, and self-service insights

Responsabilidades
• Strong understanding of enterprise finance data ecosystems (ingestion, modelling, semantic layers, analytics, governance)
• Ability to write clear product requirements, user stories, and acceptance criteria
• Analytical skills to partner with Finance stakeholders and translate problems into actionable data/AI product requirements
• Effective communication of complex finance, data, and AI concepts to technical and non-technical stakeholders
• High ownership and outcome-driven execution
• Familiarity 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 management
• Experience 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 realization

Requisitos principales
• diverse, outside-the-box thinking team
• global and collaborative environment
• personal growth opportunities
• role with strategic impact on projects
• supportive culture encouraging idea-sharing

📌 Data & AI Product Manager - Finance (Barcelona)
🏢 dsm-firmenich
📍 Barcelona