Data Governance Specialist - REMOTE

Description

**Description:** ---------------- At Infortec, we are seeking a Data Governance Specialist with extensive experience in Anjana Data to join a large-scale project focused on data management, quality, and governance. The selected candidate will participate in defining and configuring data solutions, contributing to strengthening the organization’s data governance strategy and AI governance. Mandatory Requirements University degree in Computer Engineering, Telecommunications, Mathematics, or other related STEM fields. At least 3 years of experience in Data Governance projects (data quality, metadata, MDM, lineage, AI Governance, etc.). Proven practical experience with Anjana Data (minimum 3 years). Experience in functional analysis, use case definition, and configuration of data management and governance tools. Solid knowledge of Data Governance and AI Governance. Ability to work autonomously, proactive attitude, and adaptability to changing environments. Strong communication skills and customer orientation. Sufficient English proficiency to handle technical documentation. Desirable Requirements CDMP or DAMA certification. Official certifications in Data Governance tools. Knowledge of Denodo. Familiarity with UNE, ISO, GDPR, AI Act standards, and data management and governance frameworks. Experience with AI frameworks and AI Governance practices. What We Offer Remote work mode Indefinite contract for a stable, long-term project. 23 working days of vacation. Career development plan and continuous training tailored to your professional goals. Health and dental insurance. High-level, dynamic, and continuously growing technical environment. If you have experience with Anjana Data and are passionate about Data Governance and Responsible Artificial Intelligence, Infortec offers you the opportunity to join a strategic project with real impact. **Requirements:** --------------- At least 3 years of experience in Data Governance projects Proven practical experience with Anjana Data