Work Your Magic with us! 

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That`s why we are always looking for curious minds that see themselves imagining the unimageable with us.

Your Role

• Ensure web product data readiness for New Product Introductions (NPI), collaborating with cross-functional teams to establish product requirements and timelines.
• Manage product information using Product Information Management (PIM) systems, ensuring accuracy and consistency across all digital channels.
• Audit and enhance product data quality, identifying and resolving discrepancies to maintain high standards in product representation.
• Create and utilize AI-driven tools to automate data management processes and improve efficiency in product information handling.
• Develop machine learning models to analyze product performance metrics and derive actionable insights for continuous improvement.
• Collaborate with marketing, IT, and product management teams to implement effective data strategies that support e-commerce initiatives.
• Stay updated on industry trends and best practices in product data management and e-commerce, particularly in AI applications

• Catalog and tag documentation and technical content for easier retrieval within tools such as SFDC and other content management toolsets (by product, segment, application, customer stage, and more).
• Expand inventory of technical content by identifying underutilized collateral, or documents and materials unknown to marketing, for use within digital tactics

Who you are

Minimum Qualifications:

• · Bachelor’s degree in data science, Information Management, Marketing, or a related field.
• · Minimum of 3 years of experience in web product data management, e-commerce, or a similar role, with a focus on New Product Introduction (NPI).
• · Familiarity with Product Information Management (PIM) systems and data quality management practices.
• · Experience in creating and utilizing AI tools for data analysis and process automation.
• · Strong analytical skills with the ability to interpret data and make data-driven decisions.
• Excellent written and verbal communication skills, with the ability to work effectively within cross-functional teams and manage stakeholder relationships. Demonstrates strong networking skills and the capacity to engage with subject matter experts to ensure successful project outcomes.
• Familiarity with machine learning and natural language concepts, alongside a demonstrable ability to devise, communicate, and implement information architecture strategies.

Preferred Qualifications:

• Master’s degree in chemistry, Biology, Materials Science, Data Science, or a related field.
• Familiarity with digital marketing, web content development, and the implications of product data structure on marketing strategies.
• Experience with scientific products and laboratory workflows
• Experience creating and communicating technical requirements to engineering teams
• Familiarity with database management concepts, and experience with advanced data manipulation techniques
• Experience working with PIM systems
• Understand the flow of e-Commerce product catalog information from search to checkout

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

Apply now and become a part of our diverse team!