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Role reports to：
Senior Product Manager, Digital and AI Acceleration位置：
Asia Pacific, India, Karnataka, Bangalore工作地點：
混合你會做什麼
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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