Regional Data Lead EU

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• Promote data as a strategic asset within the domain and across the organization.

Adherence to Data Governance & Compliance Standards

• Ensure adherence to data governance frameworks, policies, and standards.

• Ensure data quality management is applied across domains, including defining metrics, monitoring processes, and remediating issues.

• Ensure compliance with relevant regulations and internal policies, such as GDPR, CCPA, or industry-specific standards.

Data Asset Delivery & Operations

• Drive the development and maintenance of core data assets within the domain (e.g., master data, transactional data, reference data).

• Partner with data engineering teams to implement scalable data solutions.

• Oversee data lifecycle management, including acquisition, storage, transformation, and archiving processes.

• Monitor the operational performance of data systems and resolve escalated issues.

• Optimize processes to improve data availability, reliability, and usability.

Stakeholder Management

• Act as the primary point of contact for data-related matters within the domain.

• Work closely with functional leaders, business analysts, and other domain managers to understand requirements and translate them into actionable plans.

• Align with global data domain leads on any areas of overlap.

• Ensure transparency in data priorities, progress, and decision-making.

Analytics Enablement

• Support analytics and reporting needs by ensuring the availability of high-quality, well-documented, and governed datasets.

• Partner with analytics and data science teams to deliver insights and drive innovation within the domain.

Knowledge / Experience:

• 4-7 years of experience in data management, governance, engineering, integration, or related roles, with exposure to relevant data domains (e.g., Finance, Supply Chain, Sales, Marketing).

• Understanding of applying data governance principles, DQM, compliance standards and security protocols to global data environments.

• Hands-on experience with data management tools, data analysis, or data visualization software (Python, SQL, Power BI).

• Experience with DevOps principles such as CI/CD, unit testing. Project Ownership skills with the ability to operate in Agile Product framework.

• Conversant with Data Regulations and Laws e.g. GDPR, CCPA, PIPL

• Experience with big data technologies, ETL processes and Data modeling (ideally Microsoft Azure).

Education & Professional Qualifications:

• Required: Bachelor's degree in Computer Science, Data Engineering or related STEM (Science, Technology, Engineering, Mathematics) subject or similar

• Preferred: Masters degree in above fields

• Preferred: Accreditations/certifications (e.g. DAMA) in data management and/or data governance practices is desirable

• Preferred: Professional certifications in SQL, Python, CAP, Microsoft certification

What can you expect from Mars?

• Work with diverse and talented Associates, all guided by the Five Principles.
• Join a purpose driven company, where we're striving to build the world we want tomorrow, today.
• Best-in-class learning and development support from day one, including access to our in-house Mars University.
• An industry competitive salary and benefits package, including company bonus.