Kenvue 目前正在招聘 a:
我们做什么
在 Kenvue,我们意识到日常护理的非凡力量。我们以一个多世纪的传统为基础,植根于科学,是标志性品牌的品牌 - 包括您已经熟悉和喜爱的 NEUTRGENA®、AVEENO、TYLENOL®®、LISTERINE®、JOHNSON'S® 和 BAND-AID®。科学是我们的热情所在;关心就是我们的才能。
我们是谁
我们的全球团队由 ~ 22,000 名才华横溢的员工组成,他们的职场文化中,每个声音都很重要,每一个贡献都受到赞赏。 我们热衷于洞察, 创新并致力于为我们的客户提供最好的产品。凭借专业知识和同理心,成为 Kenvuer 意味着每天有能力影响数百万人。我们以人为本,热切关怀,以科学赢得信任,以勇气解决——有绝佳的机会等着您!加入我们,塑造我们和您的未来。有关更多信息,请单击 here.
Role reports to:
Principal Solutions Architect位置:
Asia Pacific, India, Karnataka, Bangalore工作地点:
混合你会做什么
Lead Product Owner, Data Products
This position reports into Principal Solutions Architect, Global Data Products and is based in GCC, Bengaluru.
Who We Are
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. Our global team is made by 22,000 diverse and brilliant people, passionate about insights, innovation and committed to deliver the best products to our customers. With expertise and empathy, being a Kenvuer means to have the power to impact life of 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.
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.
Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Lead Product Owner, Data Products
This position reports into Principal Solutions Architect, Global Data Products and is based in GCC, Bengaluru.
Who We Are
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. Our global team is made by 22,000 diverse and brilliant people, passionate about insights, innovation and committed to deliver the best products to our customers. With expertise and empathy, being a Kenvuer means to have the power to impact life of 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.
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.
Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
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