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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.
Role reports to:
Senior Manager - Data Quality & GovernanceLocation:
Asia Pacific, India, Karnataka, BangaloreWork Location:
HybridWhat you will do
What You Will Do
As Lead, Data Quality, you will be responsible for overseeing and ensuring the quality, consistency, and integrity of data within Kenvue Operations. In this role, you will develop and implement data governance frameworks, policies, and procedures to maintain data standards across Functions. You will work in close collaboration with various stakeholders, including Supply Chain Functions, Data Asset and Data Product Teams, and global process owners to promote a culture of data excellence.
Key Responsibilities
Coordinate with global and regional data stewards, business analysts and business SMEs and data owners to define, develop, and maintain data quality rules and metadata
Develop and implement data quality rules, thresholds, and standard metrics / quality expectations for data elements that support critical business processes.
Drive data profiling, data cleansing, and data enrichment of data required to support Kenvue Operations digital transformation efforts.
Collate and review data quality requirements (e.g., completeness, timeliness, and accuracy specifications) from data consumers and SMEs
Ensure compliance with relevant data protection regulations (e.g., GDPR, CCPA).
Conduct risk assessments and implement controls to protect sensitive data.
Leverage data management knowledge to maintain and define data quality and metadata processes
Perform root cause analysis on data quality errors, identify and recommend resolution actions
Define governance structures, policies, processes, metrics to improve and maintain the quality and ownership of data (including data owners, stewards and administrators)
Continuously advance the in-house Data Quality framework to include additional advanced Data Quality capabilities.
Review existing data controls and recommend additional controls as per data strategy.
What We Are Looking For
Required qualifications
Bachelor's degree in Computer Science, Data Analytics, Information Technology, or a related field
At least 6 – 8 years of work experience
At least 2 years of leadership experience
Experience leading complex projects within Data Quality, Data Governance, or closely related domain(s)
Subject matter expertise regarding data management policy, Issue Management & Resolution
Strong knowledgeable of data-related policies and standards
Ability to understand metadata, data lineages, and data definitions
Ability to search and consolidate critical data elements information in metadata tools
Advanced experience in data analysis, business requirement gathering, dashboarding and reporting, preferably with Microsoft Azure, SQL, Python, and Power BI .
Desired Qualifications
CDMA certification
Proficiency in Python
Strong IT literacy with experience in SAP ERP Systems, especially SAP S4 Hana
Experience working autonomously
Ability to handle multiple projects and tasks in parallel.
Proactive, energetic, and enthusiastic approach
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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