Product Data and Content Manager - Recombinant Proteins
- Bangalore, India
- Full-time
- Posted
Skills
Job description
Work Schedule
Standard Office Hours (40/wk)
Environmental Conditions
Office
Job Description
As a Product Data & Content Manager at Thermo Fisher, you will lead the processes, standards, and cross-functional coordination needed to make recombinant protein products accurate, complete, and ready for launch across customer-facing catalogues and purchasing platforms. You will develop and implement an AI-tailored strategy for findability and work closely with Product Management, R&D, Business Development, Operations, Program Management, and suppliers to translate product and supplier information into high-quality product records at scale.
RESPONSIBILITIES
•Own the product data and content readiness process for new and existing recombinant protein products, from information gathering through validation, approval, and publication in web catalogues and purchasing platforms.
•Translate product, supplier, and technical information into complete, usable product records with rich scientific evidence , including product attributes, documentation, images, applications, and other required catalogue content.
•Establish portfolio-wide standards and controls for data quality, content completeness, naming, taxonomy, and change management across thousands of proteins and associated SKUs.
•Lead launch-readiness planning and prioritization , coordinating dependencies with Product Management, R&D, Business Development, Operations, Program Management, and external suppliers.
•Build scalable workflows and tools for collecting, validating, and maintaining high-volume product data; identify automation opportunities and reduce manual rework.
•Monitor readiness and quality through clear metrics , such as content completeness, data accuracy, time to publish, launch delays attributable to missing information, and backlog.
•Identify systemic content and data gaps across the portfolio and lead corrective actions with the relevant teams.
•Lead cross-functional improvements to catalogue and purchasing-platform content, representing customer usability and scientific accuracy in those initiatives.
•Provide expert review and escalation support for complex product-content questions and customer concerns, partnering with technical and commercial teams as needed.
•Guide colleagues and stakeholders on data standards, content expectations, and effective submission practices.
QUALIFICATIONS
•Advanced degree in life sciences, biotechnology, bioengineering, or a related field; equivalent relevant experience may be considered.
•Experience in product information, scientific content, portfolio operations, product management support, data governance, or a related role in life sciences, biotech, pharma, or research tools.
•Experience preparing and maintaining complex product data for e-commerce, product catalogues, purchasing platforms, PIM systems, ERP systems, or similar content platforms.
•Proven ability to manage large, interrelated datasets and maintain accuracy across many products and SKUs.
•Advanced Microsoft Excel skills; experience with data visualization, database tools, or data transformation and automation is an advantage.
HOW YOU LL SUCCEED:
•Ability to lead cross-functional projects and influence stakeholders across technical, commercial, operations, and digital teams.
•Strong organizational and prioritization skills, including the ability to manage high-volume work while meeting launch deadlines.
•Excellent written communication skills, with the ability to translate technical information into clear, accurate customer-facing content.
•A continuous-improvement mindset, including the ability to identify process gaps, reduce rework, and introduce scalable ways of working.
•Ability to work effectively with external suppliers and internal subject-matter experts to resolve missing, conflicting, or unclear product information.
Preferred Qualifications:
•Working knowledge of recombinant proteins and their use in laboratory research, with the ability to learn and accurately interpret product specifications, applications, and technical documentation.
•Experience supporting product launches or portfolio expansions in life sciences.
•Experience connecting product data across multiple brands, business units, or product portfolios to support cross-portfolio discovery and customer navigation.
•Experience with taxonomy, search metadata, synonyms, application tags, or other catalogue structures that improve product findability.
•Experience using workflow automation, data quality tools, or AI-assisted methods to improve data preparation and review, with appropriate quality controls.