Data & AI Product Manager - Finance - dsm-firmenich
hace 3 días
Barcelona
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 / Beneficios • 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, 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