Digital Product Manager Integrated Lab Automation (all genders) - #2133214
Beiersdorf
Date: vor 6 Stunden
Stadt: Hamburg
Vertragstyp: Ganztags
Arbeitsplan: Volle Tag

Your Tasks
At Beiersdorf, we want to help people feel good about their skin – and our commitment goes far beyond caring for skin. For 140 years, we have developed innovative skin and body care products for well-known brands such as NIVEA, Eucerin, La Prairie, Hansaplast, and Labello. We act according to our purpose, WE CARE BEYOND SKIN, and take responsibility for our consumers, our employees, the environment and society.
Behind every brand, every product and every accomplishment are our more than 20,000 employees. It is for them that we live an inclusive culture of respect and trust that is strongly aligned with our values – CARE, COURAGE, SIMPLICITY and TRUST. We also embrace diversity by valuing the uniqueness of each individual and being committed to equal opportunities for all.
Additional Information
If you would like to attach a cover letter, please upload it with your resume.
If you have any questions, please contact our recruiter Regine Siebe usually on Tuesdays between 9 and 10 am via the telephone number: +49 40 4909 4956.
- Shape Data-Centric Product Strategy: Support and implement a digital product strategy focused on data structure, governance, and availability, aligned with Beiersdorf’s business objectives and R&D goals.
- Data Inventory Management: Establish and maintain an overview of data availability across all systems, ensuring accessibility and traceability for R&D use cases.
- Product Development Supervision: Oversee and monitor data-related digital projects, ensuring timely delivery, adherence to budget, and alignment with R&D objectives.
- Manage & Support Product Owners: Empower product owners in managing data-driven digital products throughout their lifecycle. Provide guidance on integrating data strategies into product development processes.
- Cross-Functional Alignment: Ensure alignment of data-related digital projects across functions and systems (e.g., BSS), fostering collaboration to maximize the value of shared data assets.
- Management of Digital Data Projects: Drive your own digital products with a focus on improving data structures, ensuring seamless integration between systems, and enabling efficient data utilization for R&D processes.
- Feasibility Studies and Proof of Concepts: Collaborate with stakeholders to assess feasibility studies and proof of concepts for new data models or system integrations that accelerate R&D transformation.
- Technological Scouting: Stay up to date with advancements in data management technologies, identifying opportunities for internal application to enhance data availability and usability.
- Educational Background: Successfully completed studies in scientific disciplines, preferably with a Master’s degree or PhD in Computer Science, Data Science, or a related quantitative field.
- Experience with Digital Data Projects: Strong experience in managing digital products focused on data structure and governance. Proven track record of delivering complex data-related projects in a dynamic environment.
- Technical Proficiency: Solid understanding of database structures, metadata management, DevOps principles, Azure ecosystems (e.g., Azure Machine Learning Studio), BI Solutions (Power BI) and Reporting Infrastructure.
- Agile Methodologies in Matrix Setup: Experience working within agile frameworks in a matrix organization to facilitate cross-functional collaboration while optimizing the use of available data resources.
- Data Strategy Expertise: Broad understanding of the challenges associated with establishing scalable data models across multiple systems while addressing compliance and governance requirements.
- Interdisciplinary Enthusiasm: Passionate about working at the intersection of R&D processes and advanced digital tools for enhanced decision-making through optimized use of available data.
- Communication Skills: Strong communication skills to convey complex ideas effectively; fluency in spoken and written English is required; German is a plus.
- R&D Knowledge: Familiarity with R&D development processes, particularly as they relate to leveraging structured datasets across the value chain for innovation acceleration.
- Solution-Oriented Mindset: Demonstrates social competence, solution-oriented thinking, and a proactive approach to identifying opportunities within existing datasets or improving system integration.
At Beiersdorf, we want to help people feel good about their skin – and our commitment goes far beyond caring for skin. For 140 years, we have developed innovative skin and body care products for well-known brands such as NIVEA, Eucerin, La Prairie, Hansaplast, and Labello. We act according to our purpose, WE CARE BEYOND SKIN, and take responsibility for our consumers, our employees, the environment and society.
Behind every brand, every product and every accomplishment are our more than 20,000 employees. It is for them that we live an inclusive culture of respect and trust that is strongly aligned with our values – CARE, COURAGE, SIMPLICITY and TRUST. We also embrace diversity by valuing the uniqueness of each individual and being committed to equal opportunities for all.
Additional Information
If you would like to attach a cover letter, please upload it with your resume.
If you have any questions, please contact our recruiter Regine Siebe usually on Tuesdays between 9 and 10 am via the telephone number: +49 40 4909 4956.
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