Experteer Overview
In this role you drive the end-to-end design and delivery of Finance Data u0026amp; AI products within a large-scale transformation. You bridge Finance, data, and AI teams to translate priorities into scalable data assets, semantic layers, and AI-enabled use cases that enable better decision-making and governance. You own the product roadmap, backlogs, and delivery cadence, aligning technology with Finance value. You’ll shape a data-as-a-product mindset across Finance and collaborate across functions to unlock measurable business outcomes.

Compensaciones / Beneficios
• 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, user stories, and acceptance criteria
• Own and manage the Finance data product backlog, prioritization, sequencing, 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, and AI-ready data products
• Partner with Finance process owners to optimize data flows across accounting, controlling, consolidation, planning, tax, treasury, intercompany, and reporting
• Ensure data quality, auditability, reconciliation, security, access control, and regulatory compliance for Finance data products




• Identify opportunities to apply AI and advanced analytics to Finance use cases such as anomaly detection, forecast support, and root-cause analysis

Responsabilidades
• Strong understanding of enterprise finance data ecosystems, including data ingestion, modelling, semantic layers, analytics, AI enablement, and governance
• Ability to write clear product requirements, user stories, and acceptance criteria
• Strong analytical skills to translate Finance problems into data/AI product requirements
• Ability to communicate complex finance, data, and AI concepts to technical and non-technical stakeholders
• High ownership and organizational skills with 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, record-to-report, planning, consolidation, intercompany, tax, treasury, or performance management
• Experience with Finance systems and data structures (e.g., 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, journals, actuals, budgets, forecasts)
• Awareness of Finance control requirements (reconciliation, traceability, auditability, data lineage, access management)
• Ability to define and monitor product success metrics and value realization

Requisitos principales
• diverse team
• general and collaborative environment
• focus on personal growth
• role with visibility and impact
• empowerment to share ideas
• culture that supports inclusion and development

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