Experteer Overview

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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, xugodme 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
- global 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