ABOUT THE ROLE
The Head of Data Governance & Quality is responsible for ensuring Wella's data is trusted, compliant, and AI-ready, enabling advanced analytics, machine learning, and generative AI to deliver meaningful business value. This role will define and lead the global data governance strategy, embedding quality, integrity, and ethical standards into the data lifecycle so that AI models are built on reliable, unbiased, and well-understood datasets.
You will partner closely with technology teams, data scientists, and business leaders to create the foundation for AI-driven innovation — ensuring that data fuelling these solutions is accurate, complete, consistent, and compliant with global regulations.
WHAT WILL YOU DO
Data Governance & AI Enablement
Establish a global data governance framework that ensures data is ready for safe, effective AI and analytics use
Develop and enforce data standards and definitions that improve AI model interpretability and reduce bias
Data Quality for AI & Analytics
Build a data quality strategy that measures, monitors, and continuously improves data across all AI-relevant domains (customer, product, transactions, supply chain, etc.)
Implement automated quality checks to flag and remediate data issues before they impact AI models
Regulatory Compliance & Ethical AI
Ensure compliance with global privacy regulations (GDPR, CCPA, LGPD) and AI ethics frameworks
Act as a trusted advisor on how governance safeguards Wella's AI reputation and regulatory position.
Metadata, Master Data & Data Lineage
Oversee metadata management to enable AI teams to understand data sources, context, and usage constraints
Implement data lineage capabilities so AI models can be audited and retrained with full traceability
Business Partnership & AI Adoption
Collaborate with the Global Head of Data Products to align governance with AI product development needs
Champion AI literacy in governance, ensuring stakeholders understand the data foundations needed for AI success
Technology & Tooling for AI Readiness
Select and deploy data governance and quality platforms that integrate with AI / ML workflows (e.g., Collibra, Ataccama)
Ensure Wella's cloud data architecture (Databricks, SAP Datasphere, Power BI) supports AI-ready data pipelines
Leadership & Capability Building
Lead a global governance team skilled in data quality for AI
WHAT WE WANT YOU TO BRING ALONG
Essential :
Desirable :
Key Competencies
WHAT WE OFFER
At the heart of our company is a commitment to nurturing growth, health, and happiness. That's why we offer :
WHO WE ARE
Together,
WE
enable individuals to look, feel, and be their true selves.
Wella Company is one of the world's leading beauty companies, comprised of a family of iconic brands such as Wella Professionals, Clairol, OPI, Nioxin and ghd. With 6,000 employees globally, presence in over 100 countries, Wella Company and its brands enable consumers to look, feel, and be their true selves. As innovators in the hair and nail industry, Wella Company empowers its people to delight consumers, inspire beauty professionals, engage communities, and deliver sustainable growth to its stakeholders.
For additional information about the Wella Company, please visit and
EEO OPPORTUNITIES
We offer equal employment opportunity to qualified individuals without regard to race, religion, color, national origin, age, gender, disability, sexual orientation, gender identity, gender expression, marital status, veteran status, or any other characteristic protected by law. Wella Company with federal and state disability laws makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and / or to receive other benefits and privileges of employment, please contact us at :
We strongly believe that cultivating a diverse workplace gives a company strength. The combination of unique skills, abilities, experiences and backgrounds creates an environment that produces extraordinary results.
English
Español
Data Governance • Warszawa, Województwo mazowieckie, Polska