Data & AI Product Manager - Finance

dsm-firmenich; Barcelona; Presencial; EUR 85.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Team of diverse employees

Global and collaborative culture

Personal growth opportunities

Role with project impact

Empowered to share ideas

Descripción de la vacante

dsm-firmenich seeks a Data & AI Product Manager - Finance in Barcelona to lead end-to-end finance data products. You will bridge Finance stakeholders with data engineers, AI teams, and governance to deliver scalable data solutions that enhance decision-making and automation.

Responsibilities include defining vision, prioritizing backlogs, and driving agile execution across data and AI assets, with a focus on data quality, governance, and value realization for finance processes.

Formación

• Experience defining data products for finance domains and enabling AI use cases.
• Ability to translate finance requirements into data and AI product specs.
• Strong collaboration with finance stakeholders, engineers, and governance teams.

Responsabilidades

• Define the product vision and roadmap for Finance Data & AI products, aligned with Finance strategy and measurable outcomes.
• Translate Finance needs into data product capabilities, user stories, and acceptance criteria.
• Own and manage the Finance data product backlog with prioritization and sequencing.
• Lead sprint, quarterly, and release planning for Finance data and AI product teams.
• Collaborate with Finance SMEs, data engineers, architects, and AI specialists to build scalable data solutions.
• Drive delivery of foundational Finance data assets, including datasets, semantic models, reporting layers, and QA controls.
• Partner with Finance process owners to optimise data flows across accounting, controlling, planning, tax, treasury, and reporting.
• Ensure data products meet data quality, auditability, security, access control, and compliance needs.
• Identify opportunities to apply AI and automation to Finance use cases such as anomaly detection and forecast support.

Conocimientos

Finance data ecosystems

Product requirements writing

Analytical skills

Stakeholder communication

Cloud data platforms

Finance domain expertise

Data governance

Ownership / accountability

Technical collaboration with data/AI

Herramientas

AWS

Azure

GCP

Databricks

Snowflake

Power BI

dbt

Descripción del empleo

Job Title: Data & AI Product Manager - Finance

Location: Barcelona, Spain

Mode: Hybrid

This role is a high-impact Data & AI Product Manager position focused on Finance, at the center of a large-scale transformation to build a modern, AI-ready finance data ecosystem. You will act as the critical bridge between Finance business stakeholders, data modelers, engineers, architects, and AI teams, translating finance priorities into scalable data and AI products that deliver measurable business outcomes. With ownership of end-to-end finance data products, you will define product vision, manage prioritization, drive agile execution, and ensure strong alignment between technology delivery and Finance business value. The role offers the opportunity to embed a Data-as-a-Product mindset across Finance, shaping trusted foundational datasets, data lake and warehouse assets, semantic layers, dashboards, and AI-enabled use cases across areas such as record-to-report, controlling, planning, consolidation, working capital, intercompany, tax, treasury, and performance management. Ultimately, it is a strategic position where you connect enterprise finance data investments to improved decision-making, automation, governance, and AI readiness.

Your key responsibilities:

• Define the product vision and roadmap for Finance Data & AI products, aligned with Finance strategy, enterprise data priorities, and measurable business outcomes.
• Translate Finance business needs into clear data product capabilities, technical priorities, user stories, and acceptance criteria.
• Own and manage the Finance data product backlog, including prioritization, sequencing, dependencies, value definition, and delivery clarity.
• Lead sprint, quarterly, and release planning for Finance data and AI product teams, ensuring alignment with Finance stakeholders and platform teams.
• Collaborate with Finance SMEs, data engineers, architects, data modelers, governance teams, and AI specialists to build trusted, scalable, and reusable 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 understand and improve data flows across accounting, controlling, consolidation, planning, tax, treasury, intercompany, and management reporting.
• Ensure finance data products meet expectations for data quality, auditability, reconciliation, security, access control, and regulatory or compliance needs.
• Identify opportunities to apply AI, automation, and advanced analytics to Finance use cases such as anomaly detection, variance explanation, forecast support, root-cause analysis, and self-service insights.

We offer:

• A team of diverse employees who aren’t afraid to think outside of the box.
• A truly global and collaborative team that cares about the experience of our employees.
• The encouragement you need to develop and achieve personal growth.
• A role that is crucial on projects and allows you to build your brand.
• A caring and supportive environment where you’re empowered to grow and share your ideas.

You bring:

• Strong understanding of enterprise finance data ecosystems, including data ingestion, modelling, transformation, semantic layers, analytics, AI enablement, and data governance.
• Ability to write clear product requirements, user stories, and acceptance criteria.
• Strong analytical skills and ability to work with Finance stakeholders to identify business problems, define value cases, and translate them into actionable data and AI product requirements.
• Ability to communicate complex finance, data, and AI concepts clearly to both technical teams and non-technical Finance stakeholders.
• High ownership and organizational skills with outcome-driven execution.
• Familiarity with cloud data platforms and modern analytics ecosystems, such as AWS, Azure, GCP, Databricks, Snowflake, Power BI, dbt, data lakes, data warehouses, and lakehouse architectures.
• Finance domain expertise, preferably across accounting, controlling, record-to-report, planning, consolidation, intercompany, tax, treasury, working capital, or performance management.
• Experience working with Finance systems and data structures, including SAP ECC, SAP S/4HANA, Central Finance, SAP Group Reporting, BW, planning tools, and finance master data.
• Understanding of core Finance data objects and concepts such as general ledger, chart of accounts, company code, profit center, cost center, internal orders, assets, vendors, customers, open items, journal entries, actuals, budgets, forecasts, and consolidation data.
• Awareness of Finance control requirements, including reconciliation, traceability, auditability, data lineage, segregation of duties, access management, and sensitive financial data handling.
• Ability to define and monitor product success metrics, adoption, data quality KPIs, and business value realization for Finance data and AI products.

About dsm-firmenich:

At dsm-firmenich, we don’t just meet expectations - we go beyond them. Join our global team powered by science, creativity, and a shared purpose: to bring progress to life. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions - every single day. Whether it’s fragrance that helps you focus, alternative meat that’s better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere. And while you’re making a difference, we’ll make sure you’re growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They’re essential to our future. Because real progress only happens when we go beyond, together.

Inclusion, belonging and equal opportunity statement:

At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work - and that's exactly the kind of culture we're building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong. We're proud to be an equal opportunity employer, and we're serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we're committed to reflecting the world we serve. We welcome candidates from all backgrounds - no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you. And if you have a disability or need any support through the application process, we're here to help - just let us know what you need, and we'll do everything we can to make it work.