Kenvue - Principal Data Modeler

Note : Women Candidates Preferred

Description :

Who we are :

At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, were the house of iconic brands - including NEUTROGENA, AVEENO, TYLENOL, LISTERINE, JOHNSONS and BAND-AID that you already know and love. Science is our passion; care is our talent. Our global team is made by 22,000 diverse and brilliant people, passionate about insights, innovation and committed to deliver the best products to our customers. With expertise and empathy, being a Kenvuer means to have the power to impact life of 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!

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 :

- 12 - 15 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