Kenvueは現在、以下求人を募集しております。
Senior Product Manager私たちがしていること
私たちKenvueは、日々のケアが持つ驚くべき力を信じています。100年以上の伝統と科学に根ざし、Neutrogena®, Aveeno®, Tylenol®, Listerine®, Johnson’s® and BAND-AID®など、皆様が既にご存じでご愛用いただいているアイコニックなブランドを提供しています。科学は私たちの情熱であり、ケアは私たちの才能です。
Who We Are
私たちのグローバルチームは、インサイトとイノベーションに情熱を注ぎ、最高の製品をお客様にお届けすることに全力を注ぐ、多様で優秀な22,000人以上の社員で構成されています。専門知識と共感力を備えたKenvuerであることは、毎日何百万人もの人々の生活に影響を与える力を持つことを意味します。私たちは、人を第一に考え、全身全霊をもってケアし、サイエンスで信頼を獲得し、勇気をもって解決します。私たちとあなた自身の未来を、共に切り開いていきましょう。
Role reports to:
Sr Director Global Data 360 Products場所:
Asia Pacific, India, Karnataka, Bangalore勤務地:
フルオンサイトあなたがすること
What You Will Do
As a Senior Product Manager, Digital, Data and AI Products, 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, execution and activation/training.
Responsibilities:
Product Vision, Strategy & Business Alignment
Partner closely with business leaders to shape and communicate the product vision, strategy, and roadmap for Digital, Data, and AI solutions, ensuring strong alignment with enterprise priorities and measurable business outcomes.
Champion the value proposition of data and AI products across the organization, tailoring narratives for different business functions and user personas.
Business Engagement & Requirements Gathering
Build deep relationships with business units to understand their workflows, challenges, and opportunities for digital transformation.
Translate business needs into clear, actionable product requirements and success criteria that ensure user-centric and high-impact product enhancements.
User Activation, Training & Adoption
Develop and execute user activation plans to ensure smooth onboarding, including hands-on training sessions, self-service learning materials, and in-product guidance.
Deliver business-facing demos, roadshows, and enablement workshops that increase awareness, confidence, and usage of AI and data products.
Monitor adoption patterns and proactively address barriers to usage through targeted engagement strategies.
Change Management & Organizational Readiness
Lead the change management strategy for product rollouts by partnering with communications, training, and business leadership teams.
Develop communication plans, release notes, and stakeholder updates to ensure clarity and alignment throughout the product lifecycle.
Drive behavior changes through structured messaging, storytelling, and success showcases.
Product Development & Execution
Manage the end-to-end product development lifecycle in collaboration with engineering, data science, and UX teams—covering design, development, testing, deployment, and scaling.
Ensure intuitive, user-friendly experiences by partnering with UX designers to simplify complex data and AI interactions.
Data & AI Enablement
Oversee the data readiness process—including data capture, governance, quality, and preprocessing—ensuring availability and reliability for product features.
Collaborate with ML engineers and data scientists to support the design, development, validation, and deployment of machine learning models within user-facing products.
Performance Monitoring & Continuous Improvement
Establish robust KPIs and dashboards to track product adoption, user satisfaction, product performance, and business impact.
Continuously iterate on features based on user feedback, usage analytics, and market insights to maximize value delivery.
Market Research & Competitive Intelligence
Conduct market trend analysis, evaluate emerging technologies, and benchmark industry competitors to identify new opportunities and keep products innovative and relevant.
Risk Management
Assess risks across data, technology, governance, and user adoption dimensions; develop proactive mitigation strategies to ensure successful and secure product deployment.
What We Are Looking For
Required Qualifications
· Typically requires a minimum of 15 years of related experiences with a Bachelor's degree; or 12 years and a Master degree; or a PhD with 8 years of experiences in the field of Technology, Computer/Software Engineering, Data Science, Applied Mathematics, Statistics etc.
· 5+ 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.
· 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.
· 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.
Desired Qualifications
· Conversant with Data Analysis
· Preferably from Retail or CPG industry
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