32 Vendor Data Governance jobs in Qatar

Perform and evaluate QatarEnergy Vendor Compliance Screening business model pertaining to third-party vendors pre and post procurement activities. Ensure effective embedding of policies and procedures which supports applicable regulatory requirements domestically and internationally.

Conduct all third-party Supply Chain related Vendor due diligence compliance screening, consult, and engage with all pertinent stakeholders when necessitated. Perform rigorous verification to ensure accuracy and legitimacy of Know Your Supplier (KYS) Questionnaires for both Vendor Registration and Tendering.

A minimum of 8 years professional experience, including in compliance and/or governance fields, or legal, auditing, or internal control functions. Proven track record in third party Vendor Compliance with a global perspective.

Ability to work independently, perform and collaborate in a complex cross-functional business environment. Advanced analytical skills with the ability to assimilate complex compliance and governance matters and to provide practical advice to stakeholders.

Effective communication, leadership and team building skills commensurate with the principal accountabilities of the position. Advanced computer literacy, expertise and skills in word and data/information processing, incl. MS Office software applications (Word, Excel, and PowerPoint). Highly motivated, proactive, organized, and self-disciplined.

University Degree in an appropriate discipline such as Law, Business, Audit and Compliance. Post graduate qualifications in one of the following disciplines: legal/audit/management/business/compliance is advantageous.

Job Title: Data Governance & Quality Analyst

Location: Doha, Qatar (Onsite)

Experience: 5+ years

Employment Type: Full-time

We are looking for a Data Governance & Quality Analyst to lead the establishment of governance frameworks, policies, and practices that ensure the accuracy, consistency, and reliability of enterprise data. The role requires strong expertise in data governance, quality frameworks, and database management, with working knowledge of Microsoft Fabric Data Warehouse and structured data environments.

• Data Governance & Quality: Develop and implement data governance frameworks, policies, and standards across the enterprise.
• Data Quality: Define and monitor data quality rules, metrics, and dashboards to ensure trusted data.
• Data Stewardship: Lead data stewardship programs, assigning ownership and accountability across departments.
• Metadata & Lineage: Build and maintain data cataloging, metadata management, and data lineage.
• Compliance: Ensure compliance with data privacy and regulatory requirements.

• Database & Data Warehousing Oversight: Leverage expertise in relational databases (SQL Server, Oracle, PostgreSQL, etc.) to support governance and quality initiatives.
• Data Integrity: Ensure data integrity and consistency in the Microsoft Fabric data warehouse.
• Collaboration: Collaborate with the BI and data engineering teams to align data models and standards with governance policies.
• Data Validation: Support structured data validation and profiling across business domains.

• Bachelor’s or Master’s degree in Information Systems, Data Management, or related field.
• 5+ years of experience in data governance and data quality management.
• Strong understanding of relational databases and structured data environments.
• Hands-on experience with data warehousing (preferably Microsoft Fabric, Azure Synapse, or similar).
• Familiarity with data cataloging/metadata tools (e.g., Microsoft Purview, Collibra, Alation).
• Strong skills in SQL for data validation and profiling.
• Excellent communication and ability to engage with both technical and business stakeholders.

• Experience implementing data governance in enterprise-scale environments.
• Knowledge of data privacy regulations (GDPR or local equivalents).
• Understanding of Power BI or similar BI tools for data quality reporting.

Skills: data quality, metadata tool, data quality management, data governance, structured data, sql, quality analyst, data cataloging, data warehousing, cataloging

My client is looking for a talented candidate with a strong background supporting Upstream Data Management across a varied portfolio of international assets.

This position will lead be responsible for the team related to the Geoscience & Reservoir upstream data management in close relationship with the Subsurface Development and Exploration entities.

• Drive Innovation : Lead high-impact IT projects in the upstream domain, delivering cutting-edge technology aligned with the companies strategic goals.
• Optimize Operations : Manage teams and resources to ensure seamless operations, efficient support services, and cost-effective IT delivery.
• Stakeholder Collaboration : Build strong relationships with key stakeholders to align IT solutions with business needs and drive successful change management.
• Ensure Compliance and Security : Oversee adherence to corporate policies, including Cyber Security standards, to maintain a secure and reliable environment.
• Stay Ahead of Trends : Research and adopt the latest technology innovations to keep systems up-to-date and aligned with global industry standards.

Additional Points

• Examples of existing applications used include; Petrel, OpenWorks, Interactive Petrophysics, Hampson Russell, Eclipse, Intersect, Prosource
• Majority of the applications supported are requiring high system resources such as high-performance computing infrastructure for complex computations and huge storage capacity for the massive data volumes to be stored and processed.
• Main first line of support for end users on existing supporting infrastructure: HPC, VDIs, and Storage.

Requirements

• Bachelor’s degree in IT / Computer Science / Engineering / Petroleum / Geoscience or equivalent.
• Minimum 10 years of directly related experience including minimum 5 years of supervisory management responsibilities.
• Demonstrated knowledge of subsurface technologies and trends.
• Experience in managing and executing multiple high value subsurface and Technical IT projects and services for energy organizations; knowledge and practice of tools and methodologies like PMI or PRINCE2

mselect is looking to hire a Data Management and Business Intelligence Analyst for a oil and gas operator in Doha, Qatar . Candidates must have a minimum of 8 years of experience in a business environment with specific exposure to Business Processes and Data Analysis relating to Project Management required, preferably within the oil and gas industry. Fluency in English is a must.

Key Responsibilities

• Data modelling: Develop custom data models and algorithms to apply to data sets
• Data Mining, Cleaning and Munging
• Data Visualization and Reporting (Power BI)
• Data warehousing and structures
• Business Process and Workflow (SharePoint)
• Statistical Analysis and Risk Analysis
• Database Programming (SQL)
• Software Engineering Skills
• Problem-Solving
• Effective Communication

Requirements

• Bachelor or Master level degree in Business, Computer, Information Science or a related field
• Eight years (8) years of experience in a business environment with specific exposure to Business Processes and Data Analysis relating to Project Management required, preferably in the oil and gas industry
• Must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations
• Experience in statistical and data mining techniques (Data Mining, Cleaning and Munging) to mind and analyze data from company databases, ERP and other legacy data sources/systems to drive optimization techniques and business strategies
• Experience in Data Visualization, dashboard and Reporting using Data Visualization Tools such as (Power PI, Tableau, SAS, Python, etc) with experience using web services and cloud tools
• Knowledge of Master data object definitions and models would be an advantage
• Knowledge in Business Process Analysis, Modelling, Optimizing and Workflow automation
• Experience in business process analysis, modelling, notation, process improvement methodologies, optimization strategies and statistical process control
• Experience in documentation and diagramming approaches used to describe typical business components including entity relationship diagrams, process diagrams, and workflow diagrams
• Good exposure to Project Management principles and practices
• Thorough understanding of Business Process management and ability to plan/conduct study and document the results
• Expert proficiency in using MS Office suite applications, MS SharePoint and Power BI

*Only applicants meeting the strict criteria outlined above will be contacted as part of the shortlisting process.

BH-MS0909

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