Lead Product Owner

Lead Product Owner

O que fazemos

At Kenvue, percebemos o extraordinário poder do cuidado diário. Construída com base em mais de um século de herança e enraizada na ciência, somos a casa de marcas icônicas - incluindo NEUTROGENA®, AVEENO®, TYLENOL,® LISTERINE,® JOHNSON'S® e BAND-AID® que você já conhece e ama. A ciência é a nossa paixão; O cuidado é o nosso talento.

Quem somos

Nossa equipe global é de ~ 22.000 pessoas brilhantes com uma cultura no local de trabalho onde cada voz é importante e cada contribuição é apreciada. Somos apaixonados por insights, inovação e comprometidos em entregar os melhores produtos aos nossos clientes. Com experiência e empatia, ser um Kenvuer significa ter o poder de impactar milhões de pessoas todos os dias. Colocamos as pessoas em primeiro lugar, nos importamos ferozmente, ganhamos confiança com a ciência e resolvemos com coragem - e temos oportunidades brilhantes esperando por você! Junte-se a nós para moldar nosso futuro - e o seu. Para obter mais informações, clique em aqui.

Role reporta para:

Product Manager

Localização:

Asia Pacific, India, Karnataka, Bangalore

Local de trabalho:

Híbrido

O que você fará

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. 

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