Principal - Data Modeler

Principal - Data Modeler

Lo que hacemos

En Kenvue, nos damos cuenta del extraordinario poder del cuidado diario. Sobre la base de más de un siglo de herencia y arraigados en la ciencia, somos el hogar de marcas icónicas, incluidas NEUTROGENA®, AVEENO,® TYLENOL,® LISTERINE,® JOHNSON'S® y BAND-AID® que ya conoces y amas. La ciencia es nuestra pasión; El cuidado es nuestro talento.

Quiénes somos

Nuestro equipo global está formado por ~ 22.000 personas brillantes con una cultura laboral en la que cada voz importa y cada contribución es apreciada. Nos apasionan las ideas, innovación y comprometidos con la entrega de los mejores productos a nuestros clientes. Con experiencia y empatía, ser un Kenvuer significa tener el poder de impactar a millones de personas todos los días. Ponemos a las personas en primer lugar, nos preocupamos ferozmente, nos ganamos la confianza de la ciencia y resolvemos con coraje, ¡y tenemos oportunidades brillantes esperándote! Únase a nosotros para dar forma a nuestro futuro y al suyo. Para obtener más información, haga clic en aquí.

Role reports to:

Director - Data Science & Digital Solutions

Ubicación:

Asia Pacific, India, Karnataka, Bangalore

Lugar de trabajo:

Híbrido

What will you

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

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