Senior Analyst - Product Data Governance and Taxonomy

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 unimaginable with us.  

Title: Senior Analyst - Product Data Governance and Taxonomy

Location: Bangalore - Electronic City

The MilliporeSigma eCommerce organization is focused on creating a customer-centric experience and is responsible for driving our multi-billion euro channel, which supports over 40 million visitors and transacts millions of orders each year. With us, there are always opportunities to break new ground and stretch yourself. We will continue to identify and deliver on opportunities to further accelerate growth and evolve our e-commerce business into the standard for collaboration in the life sciences. Join us and bring your curiosity to life!

Your Role: 

As a Product Data Taxonomy Specialist in our eCommerce organization at MilliporeSigma, you will play a critical role in ensuring data governance, compliance, and effective taxonomy management across our extensive portfolio of over 350,000 products. You will be accountable for evolving, expanding, and enriching our product data taxonomy structure to support a best-in-class shopping experience for our customers. 

Who Are You: 

• Lead the development of product category taxonomies to effectively organize and categorize our expansive and diverse catalog of reagents, chemicals, and instrumentation. 

• Establish and maintain effective taxonomy structures that enhance product categorization and facilitate data retrieval. 

• Develop and maintain standard operating procedures (SOPs) for implementing taxonomy changes. 

• Collaborate with our Product Teams on establishing requirements and enhancements to Taxonomy Management Service/Application 

• Conduct competitive research on product taxonomy structures, both internally and externally. 

• Analyze website metrics and product discovery behaviors to drive data-informed decisions. 

• Collaborate with stakeholders to promote the availability of high-quality, trusted data as a strategic asset in support of operational effectiveness and decision-making. 

• Monitor and evaluate product data quality on an ongoing basis, identifying areas for improvement and driving corrective actions. 

• Mentor internal users on data governance principles, taxonomy management, and compliance requirements. 

• Educate technical and non-technical audiences on information architecture concepts. 

Basic/Minimum Qualifications: 

• 2+ years of experience in Scientific Taxonomy/Ontology and its applications to eCommerce Taxonomy management, Search Engine management, or Information Architecture 

• Bachelor’s degree in Chemistry, Biology, Materials Science, Data Science, or a related field. 

• Experience working with PIM systems 

• Familiarity with digital marketing, web content development, and the implications of product data structure on marketing strategies

• Experience creating and communicating technical requirements to engineering teams

• Strong understanding of data management best practices, including taxonomy management, metadata management, data quality management, and compliance frameworks. 

• Understand the flow of e-Commerce product catalog information from search to checkout 

Preferred Qualifications: 

• Master’s Degree in Chemistry, Biology, Materials Science, Data Science, or a related field.  

• Experience with scientific products and laboratory workflows 

• Familiarity with database management concepts, and experience with advanced data manipulation techniques 

• Demonstrable ability to devise, communicate, and implement information architecture strategy 

• Deep familiarity with taxonomies, ontologies, and classification systems and their management 

• Familiarity with machine learning and natural language concepts and applications 

• Adept at diving deep into search including algorithms and technical details 

• Intellectually curious, technically savvy, detail oriented, entrepreneurial 

We are an equal opportunity employer that values workforce diversity. We want everyone to be able to bring their best self to work every day which is why equality and inclusion is at the forefront of all our activities. We are dedicated to a policy of non-discrimination in employment on any basis including race, caste, creed, colour, religion, sex, age, disability, marital status, sexual orientation, and gender identity.

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!