JOB DESCRIPTION:

The Data Domain Lead plays a critical role in ensuring effective management and governance of core data assets within a specific data domain (e.g., Finance, Supply Chain/Purchasing, Demand B2B, Demand B2C, R&D) and the associated roadmaps towards unlocking these in alignment with the analytics product development strategy and priorities. The role bridges strategy, operations, and governance, focusing on enabling the organization to extract value from data while maintaining compliance and quality standards.

EDUCATION & PROFESSIONAL QUALIFICATIONS

• Strong expertise in data management, data integration, and data engineering best practices.
• Proficiency in SQL, Python, or other data-focused programming languages.
• Experience with big data technologies and ETL processes.
• Project management skills with the ability to operate in Agile framework.
• Good communication skills, with a track record of aligning technical solutions to business needs.
• Knowledge of data governance, compliance standards, and security protocols in global data environments.
• Experience with DevOps principles such as CI/CD, unit testing, and AGILE development, envisaging options to contain costs over time

KNOWLEDGE / EXPERIENCE

• 2-4 years of experience in data management, Data Engineering, or related roles, with exposure to specific data domains (e.g., Finance, Supply Chain).
• Understanding of data governance principles, data quality management, and data compliance standards.
• Hands-on experience with data management tools, data analysis, or data visualization software (Python, SQL, Power BI)
• Experience in Data modeling (ideally Microsoft Azure).