Lead Product Owner
Kenvue is seeking a Lead Product Owner to drive the development of data-driven products using AI and analytics. The role involves collaborating with cross-functional teams to define product vision, manage data lifecycles, and coordinate ML model deployment. Candidates should possess strong background in CPG/Retail data domains and technical proficiency in data modeling and SQL. This position is based in Bengaluru and operates in a hybrid model.
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Experience
5+ years
Function
Product Management
Work mode
Hybrid, India
Company
Tier 2
What you will work on
Kenvue is seeking a Lead Product Owner to drive the development of data-driven products using AI and analytics. The role involves collaborating with cross-functional teams to define product vision, manage data lifecycles, and coordinate ML model deployment. Candidates should possess strong background in CPG/Retail data domains and technical proficiency in data modeling and SQL. This position is based in Bengaluru and operates in a hybrid model.
TAL's take
Solid role at a large, well-known CPG firm with defined focus on data and AI products.
Well-structured JD with clear responsibilities, domain requirements, and expectations for data product management.
Salaries at Kenvue
39.9 LPA average
Based on 7 Grapevine salary entries for Kenvue.
Product Management
12 - 14 years | 31
51 LPA average
Range: 51 - 51 LPA
Engineering
4 - 6 years
30 LPA average
Range: 28 - 32 LPA
Other roles
8 - 10 years | L1
40 LPA average
Range: 30 - 50 LPA
Other roles
10 - 12 years | 31
40 LPA average
Range: 40 - 40 LPA
Must haves
- Minimum 5-8 years of relevant experience
- 3+ years experience in CPG or retail industry
- Experience in data-driven product management and AI technologies
- Ability to define conceptual, logical, and physical data models
- Proficiency in SQL queries
- Experience leading cross-functional teams
Tools and skills
Nice to have: data governance, metadata management, data catalog.
About the company
Established global CPG company with a significant digital and data engineering presence in India.