Lead Data Governance

Employment; Doha; Presencial; QAR 300 000 - 420 000; Tempo integral

Resumo da oferta

Employment is seeking a Lead Data Governance professional to drive enterprise governance across data access, quality and analytics. The role focuses on defining strategy, maturity, and roadmaps, while coordinating with data stewards and business leaders.

The candidate will shape AI governance, data lineage, and data quality programs, ensuring compliance with upstream and downstream DIM requirements and robust information security practices. Fluent English is required.

Qualificações

• Bachelor’s degree in Information Management or related field.
• 10+ years in Data Management for Oil and Gas operations.
• 5+ years in a management/lead role delivering engineering information projects.
• Experience building data governance strategy, roadmaps, and onboarding data roles.
• Experience implementing data governance tech stacks (glossary, lineage, quality).
• Knowledge of data solutions for visualization, BI, data warehouses/MDM/modeling.
• Experience in Change, Program, and Stakeholder management.
• Understanding of Upstream/Downstream DIM requirements.
• Knowledge of databases, EDMS, BI technologies.
• Knowledge of Applications Architecture and Information Security.
• Fluent English in speaking and writing.

Responsabilidades

• Lead enterprise data governance framework, strategy, and maturity.
• Promote data access, quality, and analytics; develop training and data roles models.
• Measure governance maturity and plan yearly improvement goals.
• Represent DM at leadership meetings and present data value.
• Provide guidance to ensure successful DM solutions with IT and business.
• Scope AI/advanced analytics and digital use cases; evaluate vendor proposals.
• Define data quality rules and data lineage for digital use cases.
• Establish AI governance framework and data quality controls.
• Ensure onboarding of data stewards on governance tools.
• Maintain master data management scope and data quality checks.
• Ensure data certification standards for data loads and migrations.
• Develop data management policies and metadata standards.
• Monitor adherence to data policies and governance guidelines.
• Upskill developers on data governance and management.

Conhecimentos

Data governance

Leadership

Stakeholder mgmt

Data quality

Data lineage

Data modeling

EDMS

BI tools

AI governance

Change mgmt

Formação académica

Bachelor’s degree in Information Management or related field

Descrição da oferta de emprego

Industry Quality Assurance and Compliance

We are looking for aLead Data Governancefor one of our clients with the following details:

Start Date: September 2026

Duration:31-Aug-2027

Work status: Residential, Single

QUALIFICATIONS & EXPERIENCE

• Bachelor’s degree from an accredited university in Information Management or an engineering/business related equivalent.
• 10+ years of experience in Data Management for Oil and Gas Upstream/Downstream Operations and Major Capital Projects.
• 5+ years of experience in a management/lead position working through the definition and implementations of similar engineering information projects.
• Strong hands-on experience in building data governance strategy, framework, roadmaps, decision making bodies and on boarding data roles (data owners/stewards)
• Solid track record implementing scalable data governance technology stacks (including business glossary, data lineage, data quality)
• Good understanding of the data solutions used for different Data Management needs such as Data visualization and BI, data science, data warehouses/lakes, Master data Management, data modeling Enterprise Document Management solutions...etc
• Experience in Change Management, Program management and Stakeholder management
• Good understanding of Upstream and Downstream DIM requirements
• Good Knowledge of Database systems, EDMS solutions and BI Technologies
• Good Knowledge of Applications Architecture, Information Security Principles
• Fluent English both spoke and written

ACTIVITIES

Manage enterprise data governance framework, strategy, and maturity

• Lead the data governance to promote data access, quality, and analytical capability. Governance can include a user training program, a data roles model, and data standards. Strives to reduce the cost of managing data and increase the value of the data.
• Lead the improvement of data literacy acrossCOMPANY to upskill the organization on the value and use of data
• Measure enterprise data governance maturity and set yearly plans to improvement goals
• Represents the DM team and enterprise data stewards at leadership meetings. Develops and gives oral presentations on the power and value of data. Leads and/or serves on steering committees and helps leadership use its data effectively at these meetings. (i.e. Data Community, Data Council...etc)
• Applies expert knowledge and standards to analyze enterprise results and reports. Recommends and pursues collaboration and provides appropriate technical guidance to ensure the success of such collaborations. Interacts with business areas and IT on DM solutions.

Embed the data governance practices in AI, advanced analytics, digital use cases and data platform operations

• Participate in scoping AI, Advanced Analytics, digital use cases and vendor proposals evaluations
• Ensure data quality rules are defined and developed, Data lineage for technical metadata are captured, business glossary is captured and approved by data stewards according to every digital use case data needs
• Establish and advance the enterprise AI Governance framework by defining AI agent operating boundaries, implementing governance controls and data quality assurance mechanisms, and delivering a strategic AI Governance roadmap that strengthens governance maturity, mitigates risk, and enables the responsible scaling of AI initiatives across the organization.
• Ensure the onboard of the digital use case owners and data stewards on the data governance tools to monitor their data usage, quality, and assignment
• Enable digital use cases master data management scope by defining the data quality checks
• Responsible for ensuring the data certification standard is followed, through the validation of data at source and destination are align for any data load or migration activity for digital use cases or application changes

Implement and maintain solutions to manage data governance

• Lead the identification and configuration of data hierarchy, roles, catalog, quality, and business glossary for enterprise COMPANY data on Data Governance tools leveraging Oil and Gas standard practices
• Lead the prioritization, development and maintaining controls on data quality and sources to effectively manage risk associated with the use of data and analytics, as well as work with every entity to improve the finding and report issues to senior management per department
• Responsible for capturing business data challenges and propose solutions to overcome it
• Report the progress and challenges to senior management through Data Council and DPG Steer Co.

Defines polices, standards and guidelines for data governance

• Lead the develop of data management policies, procedures, and guidelines relevant to the data management company needs
• Lead the development and implementation of enterprise metadata standards, guidelines, and processes to ensure quality metadata and support for ongoing data governance
• Ensure and monitor the adherence to all data policies, procedures, and guidelines
• Govern and overlooks the data sources to ensure its alignment with policies and best practices of handling stored data.
• Aligns with the data operations to ensure it fulfils the data governance requirements
• Upskills developees on data governance and management