Overview
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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 / Beneficios
diverse, outside-the-box thinking team
integral and collaborative environment
personal growth opportunities
role with strategic impact on projects
supportive culture encouraging idea-sharing
Responsabilidades
Define the product vision and roadmap for Finance Data & 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
Requisitos principales
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, xqbhyrx 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
Strong cross-functional collaboration
Analytical mindset with structured problem solving
Clear and concise communicator to both technical and non-technical stakeholders
Data governance
Data integration and modelling
Semantic layers

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