Data Governance Specialist

Sao Joao da Barra, Rio de Janeiro, Brazil

Actively hiring, first seen by us 4 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Not stated

What you’ll work on

Full posting

Document data domains, systems, sources, information flows and data lineage
Maintain the data catalog, business glossary and data dictionary
Define standards for data ownership, metadata, classification, access and retention
Set data quality rules, monitoring practices and issue-management processes
Assess data impacts of system implementations, migrations and decommissioning

From the employer’s posting

Document SPS data domains, systems, sources, processes, information flows and data lineage.

Support the development and maintenance of the data catalog, business glossary and data dictionary.

Define and promote standards for data ownership, metadata, classification, access, retention and lifecycle management.

Establish data quality requirements, rules, monitoring practices and issue-management processes.

Assess data impacts related to system implementations, integrations, migrations and decommissioning.

What you’ll bring

All qualifications

Core experience

Degree in Computer Science, Engineering, Information Systems or a related field
Experience in data governance, data engineering, data architecture or business intelligence
Knowledge of data modeling, relational databases, SQL, APIs and ETL/ELT
Mandatory English proficiency

Preferred experience

Knowledge of DAMA-DMBOK, COBIT, ISO 27001, ISO 38505 or comparable practices is desirable.

Qualification wording

Required education Degree in Computer Science, Computer Engineering, Software Engineering, Systems Engineering, Information Systems or a related field.

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.

Knowledge of DAMA-DMBOK, COBIT, ISO 27001, ISO 38505 or comparable practices is desirable.

Apply at NOV

Posting record

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Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 3, 20264 days ago
Recorded sightings: 5
Last seen by us: Nov 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 4

Early. Similar jobs usually come down between day 6 and day 58.

At NOV, jobs usually come down by about day 56.

From 959 similar postings that came down, and 13 of NOV’s. Coming down is not always a hire.

NOV is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring at a steady pace
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

SQL
Oracle

Where the posting names them

- 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.

- Knowledge of GDPR (EU) and LGPD (BR) practices. - Knowledge of Oracle ERP database environment, specifically Oracle EBS. Position eligible for hybrid work

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About NOV

People: About 11,339 in 2024.Benefit plan filings (Form 5500)
Company: Listed as NOV.

Demand for Data Governance roles

New Data Governance postings at the employers we follow are up 175% over the last 5 weeks compared with the 5 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Governance, by the work the posting describes.

Data governance staff keep a company's data accurate, documented and used within the rules. They agree what key fields mean, set up quality checks, track who owns each dataset and look after master data.

Postings ask for SQL, a governance tool such as Collibra or Informatica, knowledge of privacy and data rules, and a lot of work with other teams.

A data engineer builds the systems that move data; governance staff set and check the standards that data has to meet.

Job description

View original posting ↗

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.

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

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