Key Responsibilities:

• Lead, coach, and supervise a team of data governance specialists, setting priorities, assigning responsibilities, and ensuring timely, high‑quality delivery.
• Chair and operationalize governance forums, ensuring decisions are documented, translated into actions, tracked, enforced, and closed with clear accountability.
• Own enterprise data quality outcomes for analytics and master data by directing monitoring, remediation, and MDM practices, ensuring measurable and business‑relevant improvements.
• Embed data and analytics controls into upstream processes to reduce rework, inconsistency, and waste, while improving transparency and ROI across initiatives.
• Oversee operational compliance with data security, privacy, and regulatory requirements in collaboration with IT, Security, and Legal teams, enforcing access controls, sensitive data handling, and cross‑border transfer rules.
• Provide leadership oversight on analytics and data platform governance, including access models, usage monitoring, and cost transparency.
• Establish a strong operating rhythm for the Data & Analytics Governance (DAG) function, build team capability, promote data literacy, and enable self‑service analytics through guardrails.

Requirements

• 15+ years of professional experience, including 8+ years of deep expertise in data management and governance within multinational organizations.
• Recognized university degree.
• Extensive experience leading enterprise data & analytics governance, with proven ability to operationalize frameworks and standards.
• Strong expertise in data governance disciplines, including ownership models, data quality, and master data, with accountability for outcomes.
• Solid understanding of data privacy, security, and regulatory requirements, with experience enforcing them through operational controls.
• Demonstrated success in managing and leading governance specialist teams to execute processes at scale.
• Strategic and execution‑oriented mindset, capable of embedding governance into daily operations and driving measurable business value.
• Excellent English communication and stakeholder engagement skills in a global, cross‑functional environment.

Preferred Qualifications (Nice to Have)

• Professional certifications in data management or governance (e.g., CDMP, DAMA Certified Data Governance Professional).
• Experience with Databricks and Microsoft Azure data analytics solutions.
• Background in the logistics industry.