Content Data Model Owner

We are looking for a Content Data Model Owner to be part of our Technology and  Marketing Global team. 

Position Snapshot

• Location: Esplugues de Llobregat.
• Type of Contract: Permanent. 
• Type of work: Hybrid.
• Work Language: Fluent Business English.

About the Marketing Technologies Hub at Nestlé 
We are a multicultural and diverse team of Marketing Technologies professionals supporting the Marketing Transformation at Nestlé at scale. We work with leading technologies and top external partners to provide solutions to enable Nestlé to engage with millions of consumers worldwide. We transform how we enable content Supply chain, leverage data with AI, advanced Analytics, and accelerate automation to enable our operating model to be more efficient and effective. 

We look for people who are curious, courageous, innovative, collaborative, and passionate about Marketing technologies. If this is You and You want to make an impact globally, join us and there will be no limits to your career.

Position Summary:
The Content Data Model Owner manages the data models for Content Hub 2.0 (CH2.0), Frontify, and SRH, defining tool-related dictionaries with D2D and Content Hub Leads and aligning Brand and Product dictionaries with Master Data. This role enforces data model governance and leverages expertise in taxonomy, DAM tagging, storage principles, campaign development, and packaging to ensure efficient, user-focused systems that support business goals. While the Data Model Owner does not own the ecosystem strategy, they are accountable for developing, maintaining and owning a data model that supports the ecosystem business goals and objectives.

What you’ll do 

• Serves as the primary owner of the CH 2.0, Frontify, and SRH data models, ensuring alignment with established governance frameworks and organizational standards.
• You will define, implement, and enforce governance practices to maintain consistency and reliability of data across platforms.
• Active coordination with the D2D team, C2PA (gen-AI) and CH Leads to ensure dictionaries and data models meet current and future business requirements.
• Maintenance and regularly updates tool-related dictionaries to reflect evolving taxonomies, business needs, and industry best practices.
• Conduction periodic audits of data models to ensure integrity, usability, and compliance with governance policies, adapting them based on feedback and technological advances.
• Collaboration with Master Data and cross-functional teams to create metadata structures that enhance the user experience, campaign development, and packaging workflows.
• You will ensure tagging and storage principles for the DAM system are optimized for scalability and ease of use, improving asset discoverability and utility.
• Facilitates discussions with cross-functional teams to resolve conflicts or inconsistencies in data definitions and structures.
• Identifies and implements opportunities to enhance data models and related processes based on evolving business requirements and feedback.
• Monitors industry trends and best practices to ensure tools and processes remain state-of-the-art.

We offer you 
We offer more than just a job. We put people first and inspire you to become the best version of yourself.

• Great benefits including competitive salary and a comprehensive social benefits package. We have one of the most competitive pension plans on the market, as well as flexible remuneration with tax advantages: health insurance, restaurant card, mobility plan, etc.
• Personal and professional growth through ongoing training and constant career opportunities reflecting our conviction that people are our most important asset.
• Hybrid working environment with flexible working scheme. Our state-of-the-art campus is dog friendly and equipped with a medical center, canteen and areas to co-create network and chill!
• Recreation activities such as yoga, Zumba, etc. and a wide range of volunteering activities.

Minimum qualifications: 

• Bachelor’s degree in Data Science, Information Management, Library Science, Computer Science, or a related field.
• At least 3–5 years of experience in master data, metadata, taxonomy, or data governance within DAM or related systems.
• Proven track record of executing data strategies provided by senior leadership, ensuring compliance with established governance policies.
• Hands-on experience working with digital content ecosystems, specifically managing and maintaining taxonomies and data models for campaigns or digital workflows.
• Experience with DAM systems (e.g., Frontify, CH 2.0, or equivalent) and familiarity with tagging, storage principles, and workflows to enhance system usability.
• Knowledge of industry-standard tools for data modeling, metadata governance, and campaign management.

Nice to have:

• Advanced degree in Information Management, Data Analytics, or Business Administration with a focus on digital ecosystems.

About Nestlé 
We are Nestlé, the largest food and beverage company in the world, with a presence in more than 185 countries. With net sales of CHF 94.4 billion in 2022, the company has over 291,000 employees and 418 factories in 85 countries. Our values are based on respect: respect for ourselves, respect for others, respect for diversity, and respect for our future. Nestlé is dedicated to offering high-quality food and beverage products and services that contribute to the nutrition, health, and well-being of people, pets, and the planet. Additionally, it is committed to being a leading company in sustainability and achieving net zero greenhouse gas emissions by 2050. Want to learn more? Visit us at: www.nestle.com

We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability.
Step outside your comfort zone; share your ideas, way of thinking and working to make a difference to the world, every single day. You own a piece of the action – make it count. 

How we will proceed:

You send us your CV → We contact relevant applicants → Interviews → Feedback →   Job Offer communication to the Finalist → First working day