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 / Incentivos

- diverse, outside-the-box thinking team
- global 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, Snowflake, xugodme 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)
🏢 Jobrapido
📍 Barcelona