Data Governance Specialist

Working closely with business areas, Enterprise Architecture, Software and Architecture, Enterprise Systems and Process Performance, cybersecurity, corporate data teams, system owners and software vendors, the Data Governance Specialist will support the development, implementation and continuous improvement of SPS’s Data Governance Framework. The role will help establish and maintain data ownership, standards, definitions, metadata, data quality and access principles; support governance of KPIs and authoritative data sources; assess data requirements and reporting continuity throughout system implementation, replacement and decommissioning; and facilitate cross-functional governance activities to ensure that SPS data remains trusted, secure, accessible, traceable and fit for operational, analytical and decision-making purposes.

1. Document SPS data domains, systems, sources, processes, information flows and data lineage.
2. Support the development and maintenance of the data catalog, business glossary and data dictionary.
3. Define and promote standards for data ownership, metadata, classification, access, retention and lifecycle management.
4. Establish data quality requirements, rules, monitoring practices and issue-management processes.
5. Support data integration, migration, reporting, analytics and data-product initiatives.
6. Assess data impacts related to system implementations, integrations, migrations and decommissioning.
7. Help reduce dependency on uncontrolled spreadsheets and manually maintained datasets.
8. Promote secure, traceable and responsible access to data.
9. Prepare SPS data for artificial intelligence, machine learning and advanced analytics initiatives.
10. Facilitate collaboration between business and technical stakeholders and promote data literacy across SPS

Required education

• Degree in Computer Science, Computer Engineering, Software Engineering, Systems Engineering, Information Systems or a related field.
• Engineering, Administration or other relevant degrees may be considered when combined with appropriate experience in data, technology, systems or business processes.

Desirable education

• Background in Data Science, Statistics, Information Management, Business Analytics, Information Technology or related areas.
• Postgraduate education or certifications in data governance, data management, data engineering, data architecture, business intelligence, cybersecurity, privacy or digital transformation is desirable.

Required training/knowledge

• Experience in data governance, data engineering, data architecture, business intelligence or related disciplines.
• Knowledge of data modeling, relational databases, SQL, APIs, ETL/ELT, data integration, metadata, data quality and data lineage.
• English proficiency is mandatory due to interaction with corporate teams, global stakeholders and software vendors.

Desirable training/knowledge

• Cloud data platforms, data warehouses, data lakes or lakehouse architectures.
• Information security, privacy, access control and data lifecycle management.
• Experience with digital transformation, system implementation, migration or decommissioning projects.
• Knowledge of DAMA-DMBOK, COBIT, ISO 27001, ISO 38505 or comparable practices is desirable.
• Knowledge of GDPR (EU) and LGPD (BR) practices.
• Knowledge of Oracle ERP database environment, specifically Oracle EBS.

Position eligible for hybrid work