Audits and validates labeling annotation data for accuracy, consistency, guideline adherence, and regulatory compliance. Identifies errors and root causes, monitors quality KPIs, leads governance cycles, translates data trends into process improvements, and leads the NC Program. Collaborates with agencies and internal stakeholders across labeling operations.
Kenvue is currently recruiting for a:
What we do
At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent.
Who We Are
Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. For more information, click here.
Role reports to:
Project Leader - Global R&D SystemsLocation:
Asia Pacific, India, Maharashtra, Greater MumbaiWork Location:
HybridWhat you will do
Key Focus Areas
- Audit and validate labeling annotation data for accuracy, consistency and guideline adherence
- Identify, document and report errors and root cause triggers to management and stakeholders
- Monitor quality KPIs (Right First Time rates, rework triggers) and drive monthly governance cycles
- Translate data trends into actionable process improvement plans across agencies and internal teams
- Ensure compliance with regulatory and safety requirements throughout the labeling process
- Lead NC Program
Profile Summary
- Bachelor’s degree in a relevant field or equivalent experience in Data Science/Computer Science.
- 2–4 years of experience in data analytics, root-cause analysis, or quality assurance.
- Relevant experience in FMCG, Pharma, or Healthcare domains is required
- Experience working with APAC and/or EMEA markets is a strong plus
- Strong analytical skills with proficiency in Analytics and Visualization, ETL and Data Engineering.
- Proficient in PowerBI, Python and Data Modeling techniques.
- Excellent communication skills across stakeholder levels
Nice-to-Have
- Experience with AI data preprocessing, Building Agents, Power Platform
- Familiarity with labeling annotation tools and processes
If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.
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