EMEA Data Product Owner - Commercial Data Products

EMEA Data Product Owner - Commercial Data Products

Ce que nous faisons

Chez Kenvue, nous réalisons le pouvoir extraordinaire des soins quotidiens. S'appuyant sur plus d'un siècle d'héritage et enraciné dans la science, nous sommes la maison de marques emblématiques - dont NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON'S® et BAND-AID® que vous connaissez et aimez déjà. La science est notre passion ; Le soin est notre talent.

Qui nous sommes

Notre équipe mondiale est composée de ~ 22 000 personnes brillantes avec une culture d'entreprise où chaque voix compte et chaque contribution est appréciée. Nous sommes passionnés par les idées, l'innovation et l'engagement à fournir les meilleurs produits à nos clients. Avec de l'expertise et de l'empathie, être un Kenvuer signifie avoir le pouvoir d'avoir un impact sur des millions de personnes chaque jour. Nous donnons la priorité aux personnes, nous nous soucions farouchement, nous gagnons la confiance grâce à la science et nous résolvons les problèmes avec courage - et nous vous offrons de brillantes opportunités ! Joignez-vous à nous pour façonner notre avenir et le vôtre. Pour plus d'informations, cliquez sur ici.

Role relève à :

Manager Data & Analytics EMEA

Lieu :

Asia Pacific, India, Karnataka, Bangalore

Lieu de travail :

Hybride

Ce que tu vas faire

Job Title: EMEA Data Product Owner - Commercial Data Products

Location: Bangalore

Company: Kenvue

Role Overview: We are seeking an experienced and motivated EMEA Data Product Manager to lead our Commercial Data Products in key domains such as Retail Execution, Marketing, Sales, eCommerce, Revenue Growth Management, Trade Promotion Management, and Salesforce Effectiveness. This individual will play a crucial role in shaping the data product roadmap, gathering requirements from business stakeholders, and translating those needs into technical specifications for our data engineering, visualization and AI teams.

Key Responsibilities:

• Product Strategy & Roadmap: Develop and maintain the product roadmap for Commercial Data Products, ensuring alignment with business objectives and strategic goals. Prioritize new feature development based on stakeholder feedback and market trends.
• Stakeholder Engagement: Collaborate with cross-functional teams including sales, marketing, and operations to gather requirements and insights. Serve as the primary point of contact for business stakeholders, ensuring their needs are understood and met.
• Requirements Gathering: Facilitate workshops and meetings to elicit detailed business requirements, translating them into clear and actionable technical specifications for data engineers and visualization experts.
• Value Generation: Maintain a laser focus on delivering value to the business through data products. Define success metrics and KPIs to measure the impact of product features on business outcomes.
• Technical Liaison: Work closely with data engineers and visualization experts to ensure the successful implementation of products. While hands-on development experience is not required, a solid understanding of the tech stack (Snowflake, Python, Azure Data Factory, Airflow, dbt, PowerBI) is essential for effective communication.
• Innovative Solutions: Explore and integrate advanced analytics and AI capabilities (especially those utilizing Agentic AI) into data products to enhance decision-making and operational efficiency.
• Market Analysis: Stay current with industry trends and best practices in data product management, particularly within the retail and eCommerce sectors, to inform product development and positioning.

Qualifications:

• Bachelor’s degree in Business, Data Science, Computer Science, or a related field; Master’s degree preferred.
• 5+ years of experience in product management, with a focus on data products in commercial domains.
• Proven track record of successfully managing product roadmaps and feature development.
• Strong business acumen with a deep understanding of retail execution, eCommerce, revenue growth management, trade promotion management, and salesforce effectiveness.
• Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
• Experience with data-driven decision-making and a strong focus on delivering measurable business outcomes.
• Knowledge of Agentic AI and its applications in data products is a plus.
• Ability to work collaboratively in a fast-paced, dynamic environment.

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