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Data Governance Expert

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Work setting
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Work setup in the employer’s posting: On-site
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
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What you’ll work on

Full posting
  • Ensure governance practices are applied consistently and embedded into day-to-day business operations and project delivery.

  • Manage the process for maintaining Data Domains and Data Subdomains, including structure changes, ownership assignments, and resolution of ownership ambiguities with stakeholders.

  • Drive adoption of Data Governance practices through training, coaching, communication, change management, and promotion of data ownership and accountability.

From the employer’s posting
Operate and continuously improve the Data Governance framework, including policies, standards, guidelines, roles, responsibilities, processes, and interaction models. Ensure governance practices are applied consistently and embedded into day-to-day business operations and project delivery. Design, maintain, and improve practical governance processes for data ownership, stewardship, business definitions, data quality, data domains, reference data, metadata, and governance issues.
Facilitate governance forums, workshops, and reviews by preparing materials, tracking decisions, following up actions, and escalating unresolved issues where needed. Manage the process for maintaining Data Domains and Data Subdomains, including structure changes, ownership assignments, and resolution of ownership ambiguities with stakeholders. Govern business metadata and definitions by coordinating maintenance activities, overseeing Dataspot workflows, monitoring completeness and quality, and supporting review, approval, and publication.
Partner with the Data Architect to populate enterprise models with high-quality content, ensuring that the Data Architect remains responsible for model architecture and structure, while the Data Governance Manager ensures stakeholder engagement and definition quality. Drive adoption of Data Governance practices through training, coaching, communication, change management, and promotion of data ownership and accountability. Monitor governance performance through relevant KPIs, such as ownership coverage, stewardship coverage, definition approval progress, metadata completeness, governance participation, maturity, and policy compliance.

What you’ll bring

All qualifications

Core experience

  • 4-5 years of hands-on experience in Data Governance, Data Management or metadata management
  • Strong understanding of Data Governance operating models, including roles such as Data Domain Owner, Data Definition Owner, Data Steward, Data Maintenance Owner, and related governance forums
  • Experience in designing, maintaining, and improving governance policies, standards, guidelines, processes, and practical workflows
  • Ability to explain Data Management concepts in a clear, practical, and persuasive way to stakeholders with different levels of data maturity
  • Experience in driving adoption, training role owners, supporting change management, and building active governance communities
  • Ability to work closely with Data Architects and implementation teams while maintaining a clear distinction between governance content ownership and data model architecture responsibilities
Qualification wording
4-5 years of hands-on experience in Data Governance, Data Management or metadata management
Strong understanding of Data Governance operating models, including roles such as Data Domain Owner, Data Definition Owner, Data Steward, Data Maintenance Owner, and related governance forums
Experience in designing, maintaining, and improving governance policies, standards, guidelines, processes, and practical workflows
Ability to explain Data Management concepts in a clear, practical, and persuasive way to stakeholders with different levels of data maturity
Experience in driving adoption, training role owners, supporting change management, and building active governance communities
Ability to work closely with Data Architects and implementation teams while maintaining a clear distinction between governance content ownership and data model architecture responsibilities
Apply at MET Group

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Status in our records
Live
First seen by us
Oct 22, 202615 days ago
Recorded sightings
20
Last seen by us
Nov 6, 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 15

Similar jobs usually come down between day 6 and day 59.

At MET Group, jobs usually come down by about day 63.

From 888 similar postings that came down, and 11 of MET Group’s. Coming down is not always a hire.

MET Group is hiring

3 open jobs

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

  • Hiring at a steady pace
  • Its jobs tend to stay up a long time
Hiring record

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Demand for Data Governance roles

New Data Governance postings at the employers we follow are up 176% over the last 5 weeks compared with the 5 before.

Weekly new Data Governance postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 64, the most 444, and the latest week had 444.
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 ↗

Job Description

In this role, you will act as a key representative and subject matter expert of the Data Management team, helping business and implementation stakeholders understand the purpose, benefits, and practical value of structured Data Governance.

You will operate and continuously improve the Data Governance framework, coordinate the Data Excellence Network, facilitate governance forums, and support the creation, review, approval, and publication of high-quality business definitions across the Conceptual Data Model, Reference Data Model, Metrics Model, and Data Quality Model.

Responsibilities

  • Act as a visible and trusted representative of the Data Management team, explaining the purpose, benefits, and practical value of Data Governance to business and implementation stakeholders.
  • Operate and continuously improve the Data Governance framework, including policies, standards, guidelines, roles, responsibilities, processes, and interaction models.
  • Ensure governance practices are applied consistently and embedded into day-to-day business operations and project delivery.
  • Design, maintain, and improve practical governance processes for data ownership, stewardship, business definitions, data quality, data domains, reference data, metadata, and governance issues.
  • Coordinate the Data Excellence Network by supporting Data Domain Owners, Data Definition Owners, Data Stewards, and Data Maintenance Owners, while clarifying responsibilities and enabling collaboration across functions.
  • Identify, engage, and onboard the right governance role owners across the company, ensuring they understand their responsibilities and actively participate in governance activities.
  • Facilitate governance forums, workshops, and reviews by preparing materials, tracking decisions, following up actions, and escalating unresolved issues where needed.
  • Manage the process for maintaining Data Domains and Data Subdomains, including structure changes, ownership assignments, and resolution of ownership ambiguities with stakeholders.
  • Govern business metadata and definitions by coordinating maintenance activities, overseeing Dataspot workflows, monitoring completeness and quality, and supporting review, approval, and publication.
  • Support Data Stewards and Data Definition Owners in creating clear, business-friendly, high-quality definitions across the Conceptual Data Model, Reference Data Model, Metrics Model, and Data Quality Model.
  • Partner with the Data Architect to populate enterprise models with high-quality content, ensuring that the Data Architect remains responsible for model architecture and structure, while the Data Governance Manager ensures stakeholder engagement and definition quality.
  • Drive adoption of Data Governance practices through training, coaching, communication, change management, and promotion of data ownership and accountability.
  • Monitor governance performance through relevant KPIs, such as ownership coverage, stewardship coverage, definition approval progress, metadata completeness, governance participation, maturity, and policy compliance.
  • Identify improvement opportunities by assessing process effectiveness, gathering stakeholder feedback, identifying bottlenecks, and recommending changes to standards, processes, and operating models.
  • Act as the Data Governance subject matter expert for projects, business stakeholders, Data Domain Owners, and Data Stewards.

Qualifications

  • 4-5 years of hands-on experience in Data Governance, Data Management or metadata management
  • Strong understanding of Data Governance operating models, including roles such as Data Domain Owner, Data Definition Owner, Data Steward, Data Maintenance Owner, and related governance forums
  • Experience in designing, maintaining, and improving governance policies, standards, guidelines, processes, and practical workflows
  • Excellent stakeholder management, communication, facilitation, and influencing skills, with the ability to engage both business and technical stakeholders
  • Ability to explain Data Management concepts in a clear, practical, and persuasive way to stakeholders with different levels of data maturity
  • Experience in driving adoption, training role owners, supporting change management, and building active governance communities
  • Strong quality mindset and attention to detail, especially when reviewing business definitions, metadata, and documentation for clarity, consistency, and compliance with standards
  • Ability to work closely with Data Architects and implementation teams while maintaining a clear distinction between governance content ownership and data model architecture responsibilities
  • Fluency in English, both spoken and written

Additional Information

Nice to have

  • Experience with metadata management, data catalog, or Data Collaboration platforms such as Dataspot or comparable tools.
  • Familiarity with conceptual data modelling, reference data management, metrics definitions, or data quality rule definition.
  • Experience in change management, training, communication, or community building in a cross-functional enterprise environment.
  • Experience in process improvement, operating model design, or governance framework development.

 

 

Company Description

MET Group is an integrated European energy company, headquartered in Switzerland, with activities in natural gas and power, focused on multi‑commodity wholesale, trading and sales, as well as energy infrastructure and industrial assets.

The Group is represented in 24 countries: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Czech Republic, Croatia, France, Germany, Greece, Hungary, Italy, North Macedonia, Moldova, Poland, Romania, Serbia, Singapore, Slovakia, Spain, Switzerland, The Netherlands, Turkey and Ukraine.

MET is present in 33 national energy markets and 51 international trading hubs. The Group has a significant end‑consumer presence in Belgium, Croatia, Italy, Hungary, Romania, Slovakia, Spain, and The Netherlands.

The company has 1400+ permanent staff. The company is owned 90% by MET employees and 10% by Keppel Infrastructure, a wholly owned subsidiary of Keppel Corporation*.

* Listed on the Singapore Exchange 

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Budapest, Hungary

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