Lead Product Owner

Lead Product Owner

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.

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Role reports to:

Product Manager

Location:

Asia Pacific, India, Karnataka, Bangalore

Work Location:

Hybrid

What you will do

Kenvue is currently recruiting for: 

Lead Product Owner, Data Products 

This position reports into Principal Solutions Architect, Global Data Products and is based in GCC, Bengaluru.

What You Will Do:

As a Lead Product Owner, you will be responsible for leading the development and deployment of data-driven products powered by digital, artificial intelligence and analytics technologies. You will work closely with cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders to define product vision, strategy, and execution.

Responsibilities:

• Product Vision and Strategy: Collaborate with stakeholders to define the product vision, goals, and roadmap for Digital, Data and AI products that align with business objectives.
• Requirements Gathering: Work closely with business units to understand their needs and translate them into clear and actionable product requirements.
• Data Management: Oversee data collection, storage, and preprocessing to ensure data quality and availability for training and model deployment.
• Machine Learning Models: Coordinate with data scientists and ML engineers to design, develop, and deploy machine learning models that power AI data products.
• Product Development: Lead the end-to-end product development process, including design, development, testing, and deployment of AI data products.
• Performance Monitoring: Establish metrics and tracking mechanisms to measure the performance and impact of AI data products.
• Product Iteration and Improvement: Continuously iterate and improve data products based on user feedback and performance insights.
• Market Analysis: Conduct market research and competitive analysis to identify opportunities and stay abreast of industry trends.

What We Are Looking For 

Required Qualifications:

• Typically requires a minimum of 8 years of related experiences with a Bachelor's degree; or 5 years and a Master degree in Business or Information management systems (MIS); or a PhD with 5 years of experiences in the field of Technology, Computer/Software Engineering, Data Science, Applied Mathematics, Statistics etc. 
• 3+ years of experience working in CPG/Retail industry and sound knowledge in business/data domains related to Customer, Product, Consumer, Finance etc. 
• Proven experience in product management, preferably with a focus on data-driven products and AI technologies.
• Understand business requirements and translate to Conceptual (CDM), Logical (LDM) and Physical (PDM) data model by using industry standards.
• Familiarity with machine learning concepts, algorithms, and model deployment.
• Strong project management skills and the ability to lead cross-functional teams.
• Proficiency in data analysis, visualization, and data-driven decision-making and proficiency in writing SQL Queries.
• Excellent communication and presentation skills to effectively convey complex technical concepts to non-technical stakeholders.
• Understanding of data privacy and security considerations in AI product development.
• Experience with Agile development methodologies is a plus.
• Experience working in Data Governance, Metadata Management, Data Catalog and Business Glossary. 

If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.