Data Governance Specialist

Posted Yesterday
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2 Locations
In-Office
Entry level
Hardware • Other • Energy
The Role
Support the development and continuous improvement of the data governance framework by documenting data domains, maintaining catalogs and glossaries, defining ownership and metadata standards, establishing data quality processes, assessing system and migration impacts, promoting secure data access, and preparing data for analytics and AI initiatives. The role coordinates business and technical stakeholders and advances data literacy across the organization.
Summary Generated by Built In

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.

Responsibilities
  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
Qualifications

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

Skills Required

  • Degree in Computer Science, Computer Engineering, Software Engineering, Systems Engineering, Information Systems, or a related field
  • Relevant engineering or administration degree combined with appropriate experience in data, technology, systems, or business processes
  • 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
  • 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
  • Knowledge of cloud data platforms, data warehouses, data lakes, or lakehouse architectures
  • Knowledge of 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
  • Knowledge of GDPR and LGPD practices
  • Knowledge of Oracle EBS database environment

NOV Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NOV and has not been reviewed or approved by NOV.

  • Healthcare Strength — Company materials describe comprehensive medical, dental, and vision coverage alongside life/disability insurance, a global EAP, wellness resources, and paid parental leave; the company also states it pays most U.S. health plan premiums, which bolsters perceived value.
  • Retirement Support — The 401(k) program features auto‑enrollment, immediate vesting, and ongoing employer contributions; historical filings and comments point to a generally well‑regarded match even as exact formulas can change.
  • Leave & Time Off Breadth — Paid parental leave and widely cited decent PTO at hire are complemented by options like experience‑based vacation credit and a flexible holiday, creating a rounded time‑off offering in many U.S. roles.

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The Company
HQ: Houston, TX
26,270 Employees

What We Do

NOV delivers technology-driven solutions to empower the global energy industry. For more than 150 years, NOV has pioneered innovations that enable its customers to safely produce abundant energy while minimizing environmental impact. The energy industry depends on NOV’s deep expertise and technology to continually improve oilfield operations and assist in efforts to advance the energy transition towards a more sustainable future. NOV powers the industry that powers the world.

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