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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 Product Manager, Digital and AI AccelerationLocation:
Asia Pacific, India, Karnataka, BangaloreWork Location:
HybridWhat you will do
Role reports to Director - Data Science and Digital Solutions
As Manager, Enterprise Data & Analytics Products, you will play a key role in delivering insights and intelligence to one or more of Kenvue Operations, Finance and Legal & HR technology and data teams through management of product development and operations portfolios. You will work with various Data Science & Digital Products development teams to ensure the performance and availability of data products which drive business value.
The ideal candidate for this role will demonstrate a combination of business focus, strong analytical and problem-solving abilities, and technical skills.
Key Responsibilities
Design, develop, and maintain logical and physical data models for application, Analytical systems and data science use cases.
Ensure data models are scalable, flexible, and aligned with business and technical requirements.
Collaborate with Data Architects, ETL Developers, and BI Analysts to ensure alignment of models with data pipelines and reporting needs.
Optimize data models for performance, scalability, reliability, and ease of integration.
Document data models, data flows, and metadata for ongoing reference and governance.
Evaluate and recommend tools, technologies, and best practices for data modelling.
Support data quality, data governance, and compliance initiatives.
Work closely with stakeholders to understand business requirements and translate them into robust data models.
Ensure data modelling best practices and standards are followed.
What We Are Looking For
Required Qualifications
Bachelor’s in Engineering or equivalent experience in a related field
10-14 years of business experience, with at least 8 years of experience in Data Science & Digital Solutions
Knowledge of AI development and architecture
Strong knowledge of relational, NoSQL, and graph databases.
Experience with data modelling tools (e.g., Erwin ).
Understanding of data warehousing, ETL processes, and data integration.
Excellent analytical, problem-solving, and communication skills.
Ability to work collaboratively in a fast-paced, agile environment.
Experience with cloud platforms (Azure).
Knowledge of data security and privacy best practices.
Self-motivated and a proactive problem solver who can work independently and in teams
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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