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Clariant

Digital Product Manager (m/f/d)

Clariant Munich, Bavaria, Germany

Chemical Manufacturing · 10,001+ employees

Aug 26
product-manager Senior (5-10 yrs) Full-time Germany
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About the role

The Digital Product Manager will own product initiatives from discovery through launch, translating complex user needs into scalable software solutions. They will collaborate with engineering and data science teams to define requirements, prioritize backlogs, and drive product adoption.

What they look for

Product Management Digital Transformation Software Development Data Science UI/UX Design Product Roadmap Stakeholder Management User Research Product Strategy Agile Methodologies Backlog Prioritization AI-enabled Solutions Data-driven Decision Making Technical Feasibility Product Lifecycle Management

Requirements

The role requires experience in managing digital products and working closely with cross-functional teams including software engineers and data scientists. Candidates should possess strong skills in UI/UX concepts, data-driven decision making, and stakeholder alignment.

Full description

Job ID: 41773 | Location: Munich, Bavaria, Germany | Work Model: Hybrid

Clariant is one of the world's leading specialty chemicals companies, delivering innovative and sustainable solutions to customers across diverse industries. Within Business Unit Catalysts, we are accelerating the digital transformation of catalyst management through cutting-edge software and data-driven platforms that serve industrial customers worldwide. As Digital Product Manager, you will own digital product initiatives from discovery through development, launch, and adoption. Working closely with engineering, data science, and business stakeholders, you will translate user needs and complex workflows into intuitive and scalable software solutions.

Based in Munich and reporting to the Team Lead Product Management, you will help shape the future of our digital product portfolio for a global customer base.

Responsibilities

  • Own digital product initiatives from discovery and requirements definition through delivery, launch, and adoption
  • Translate user and business needs into clear product requirements, user journeys, and priorities for engineering teams
  • Work closely with software engineers and data scientists to make informed product and technical trade-offs
  • Drive UI/UX concepts, user research, validation, and continuous product improvement
  • Define product success metrics and use data and customer feedback to guide product decisions
  • Align stakeholders and communicate product vision, roadmap, priorities, and progress
  • Prioritize product backlogs and balance customer value, business impact, technical feasibility and delivery effort
  • Identify and drive opportunities for data-driven, AI-enabled and scalable product capabilities

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