About us
Symrise is a global supplier of fragrances, flavors, food, nutrition, and cosmetic ingredients. Its clients include manufacturers of perfumes, cosmetics, food and beverages, pharmaceuticals and producers of nutritional supplements and pet food.
Its sales of € 4.9 billion in the 2024 fiscal year make Symrise a leading global provider. Headquartered in Holzminden, Germany, the Group is represented by more than 100 locations in Europe, Africa, the Middle East, Asia, the United States and Latin America.
Symrise works with its clients to develop new ideas and market-ready concepts for products that form an integral part of everyday life. Economic success and corporate responsibility are inextricably linked as part of this process.
Symrise – always inspiring more…
Your role
About the Role
At OneDigital, we drive Symrise’s digital transformation with the ambition to become the most digitally empowered company on the planet. Within our Data, Analytics & AI organization, we transform data into decisions and ideas into impact through modern technologies, trusted insights, and responsible AI solutions.
As Senior Manager – Data & AI Quality, you will lead the development and adoption of enterprise-wide data and AI quality practices across Symrise. You will ensure data and AI assets remain reliable, high-quality, and supported by effective governance and remediation processes. Working across business and technology teams, you will drive quality standards and strengthen the foundation for trusted, data-driven decision-making across the organization.
Responsibilities
- Lead and drive enterprise-wide Data & AI Quality initiatives across business domains
- Define and implement quality frameworks, standards, and best practices
- Establish and improve processes for monitoring, remediation, and continuous quality improvement
- Ensure data and AI assets meet quality, consistency, and governance requirements
- Collaborate with business and technology stakeholders to align quality initiatives with strategic priorities
- Drive adoption of enterprise quality standards and governance practices
- Monitor quality maturity and identify opportunities for improvement
- Support automation and AI-driven approaches to enhance quality processes
- Act as a trusted advisor on data and AI quality topics across the organization
About you
You are passionate about creating trusted, high-quality data and AI environments that enable better business decisions. You enjoy solving complex challenges, driving improvements, and collaborating across teams to create meaningful impact.
You also bring:
- Experience in data quality, AI quality, data governance, or related disciplines
- Strong understanding of quality frameworks, controls, and governance principles
- Experience leading enterprise-wide or cross-functional initiatives
- Strong stakeholder management and communication skills
- Ability to collaborate effectively across business and technology teams
- Analytical mindset with strong problem-solving capabilities
- Experience driving process improvements and organizational change
- Passion for data-driven transformation and continuous improvement
- Fluent English skills; additional languages are a plus
Our offer
Location: Barcelona, Spain – home to Symrise’s Data & AI Hub, where innovation, technology, and collaboration come together in a truly global environment.
What you can expect:
- Competitive salary package aligned with your experience and expertise
- Hybrid working model with flexibility and work-life balance
- Private health insurance
- Life insurance coverage
- Opportunity to work with cutting-edge technologies and shape the future of data, analytics, and AI
- A collaborative and international environment with exposure to global teams and impactful projects
- The chance to be part of Symrise, a world-leading company where innovation, sustainability, and people are at the heart of everything we do
At Symrise, you won’t just join a company—you’ll become part of a purpose-driven organization where your ideas can create meaningful impact and help shape the future of digital transformation on a global scale.
Job Reference: EA04402
