AI-Ready Data Product Manager

Dsm; Italia; Ibrido; EUR 37.000 - 55.000; Tempo pieno

Vantaggi offerti da questo lavoro

Diverse team

Global collaboration

Personal growth

Brand building

Supportive environment

Descrizione del lavoro

dsm-firmenich is seeking a Data Product Manager to lead the design and delivery of data and AI products, acting as the bridge between business stakeholders, data engineers, and AI teams. You will own end-to-end data products, define vision, and drive agile planning to align technology with business priorities.

In this hybrid role, you will shape foundational platforms like data lakes and warehouses while influencing domains such as supply chain, commercial, and finance, ultimately advancing the

Competenze

• Strong technical foundation in data systems, pipelines, AI engineering, and streaming architectures.
• Ability to write clear product requirements, user stories, and acceptance criteria.
• Strong analytical and customer research skills to determine product needs.
• Capability to communicate complex technical concepts to non-technical stakeholders.
• High ownership and organizational skills with outcome-driven execution.
• Familiarity with cloud platforms (GCP, AWS, Azure) and modern data/AI ecosystems.

Mansioni

• Define product vision & strategy for Data and AI products aligned with organizational goals.
• Translate business needs into technical priorities, ensuring clear product capabilities.
• Own and manage the product backlog—prioritization, sequencing, and clarity of deliverables.
• Lead sprint and quarterly planning for data and AI product teams.
• Collaborate with data engineers and architects to build scalable, robust data solutions.
• Drive delivery of foundational data platforms and ensure successful execution of key initiatives.

Conoscenze

Data pipelines

Data engineering

AI engineering

Streaming architectures

Product requirements

User stories

Stakeholder communication

Cloud platforms

Descrizione del lavoro

dsm-firmenich is seeking a Data Product Manager to lead the design and delivery of data and AI products, acting as the bridge between business stakeholders, data engineers, and AI teams. You will own end-to-end data products, define vision, and drive agile planning to align technology with business priorities.

In this hybrid role, you will shape foundational platforms like data lakes and warehouses while influencing domains such as supply chain, commercial, and finance, ultimately advancing the