Senior Data Governance & Architecture Specialist

Saudi Aramco (ASC); Medina; On-site; SAR 400,000 - 660,000; Full time

Job summary

Saudi Aramco (ASC) seeks a Senior Data Governance & Architecture Specialist to strengthen corporate-wide data governance capabilities and enable trusted, well-architected, high-quality data across the organization.

You will translate governance policies into practical operating processes, data architecture deliverables, and data quality controls while collaborating with data owners, stewards, technology teams and stakeholders to improve accountability, discoverability, and reliability of

Qualifications

• Bachelor degree in CS, IS, Data Science or related discipline.
• Minimum of 10 years of relevant experience across data governance, data architecture, data quality, metadata management, or corporate data platforms, including hands-on delivery responsibilities.
• Demonstrated experience implementing governance frameworks, stewardship models, business glossaries, metadata catalogs, and data quality processes.
• Practical knowledge of data modeling, data integration, metadata, lineage, SQL, and data quality profiling and monitoring.
• Hands-on experience with at least one corporate data governance or catalog platform (e.g., Collibra, Informatica, Microsoft Purview, or equivalent).
• Working knowledge of DAMA-DMBOK principles and applicable data privacy, security, and regulatory requirements.
• Strong stakeholder engagement, analytical problem-solving, communication, and cross-functional delivery skills.

Responsibilities

• Implement and continuously improve corporate data governance policies, standards, procedures, and stewardship practices.
• Define and maintain data ownership, stewardship responsibilities, critical data elements, business glossaries, and governance workflows.
• Support governance forums, issue escalation, compliance assessments, adoption metrics and remediation tracking.
• Develop and maintain conceptual and logical data models, data definitions, domain mappings and architecture standards.
• Document data flows, system-of-record relationships, data integration patterns and end-to-end lineage for priority data domains.
• Review solution designs for alignment with data standards, interoperability, reuse and governance requirements.
• Establish data quality dimensions, business rules, profiling methods, thresholds and monitoring controls.
• Coordinate data quality assessments, root-cause analysis, remediation plans and issue management.
• Define scorecards, KPIs and reporting to measure improvements in data quality.
• Support selection, configuration, deployment, integration and ongoing enhancement of governance platforms.
• Configure and administer metadata catalogs, business glossaries, lineage, stewardship workflows and data quality capabilities.
• Drive platform onboarding, metadata ingestion, user acceptance testing, training, adoption and operational support in partnership with IT and vendors.

Skills

Data governance

Data architecture

Data quality

Metadata management

SQL

DAMA-DMBOK

Stakeholder engagement

Analytical problem-solving

Communication

Cross-functional delivery

Education

Bachelor's degree in Computer Science / Information Systems / Data Science / Engineering

Tools

Collibra

Informatica

Microsoft Purview

Job description

Overview

We are seeking a Senior Data Governance amp Architecture Specialist to join our Corporate Data Office to strengthen Corporate-wide data governance capabilities and enable trusted well-architected high-quality data The Corporate Data Office is responsible for establishing and executing world-class Corporate-wide data governance to ensure all data assets are proactively and efficiently governed and managed across Saudi Aramco to foster a data driven organization and promote data value realization in line with its strategic goals as well to adequately comply with national and international data regulations Your primary role will be to translate governance policies and standards into practical operating processes data architecture deliverables measurable data quality controls and effective use of corporate data governance platforms This role partners with business data owners data stewards technology teams and other stakeholders to improve accountability discoverability consistency and reliability of critical data assets

Key Responsibilities

Data Governance

• Implement and continuously improve corporate data governance policies standards procedures and stewardship practices
• Define and maintain data ownership stewardship responsibilities critical data elements business glossaries and governance workflows
• Support governance forums issue escalation compliance assessments adoption metrics and remediation tracking

Data Architecture

• Develop and maintain conceptual and logical data models data definitions domain mappings and architecture standards in collaboration with solution architects
• Document data flows system-of-record relationships data integration patterns and end-to-end lineage for priority data domains
• Review solution designs for alignment with data standards interoperability reuse and governance requirements

Data Quality

• Establish data quality dimensions business rules profiling methods thresholds and monitoring controls for critical data
• Coordinate data quality assessments root-cause analysis remediation plans and issue management with business and technical owners
• Define scorecards KPIs and reporting to measure and communicate improvements in data quality

Data Governance Platform

• Support selection configuration deployment integration and ongoing enhancement of corporate data governance platforms
• Configure and administer metadata catalogs business glossaries lineage stewardship workflows data quality capabilities and role-based access as applicable
• Drive platform onboarding metadata ingestion user acceptance testing training adoption and operational support in partnership with IT and vendors

You must have a Bachelor Degree in Computer Science, Information Systems, Data Science, Engineering, or a related discipline. You should have a minimum of 10 years relevant experience across data governance, data architecture, data quality, metadata management, or corporate data platforms, including hands-on delivery responsibilities. You should have a demonstration experience implementing governance frameworks, stewardship models, business glossaries, metadata catalogs, and data quality processes. Practical knowledge of data modeling, data integration, metadata, lineage, SQL, and data quality profiling and monitoring is also essential. You should have hands-on experience with at least one corporate data governance or catalog platform (e.g., Collibra, Informatica, Microsoft Purview, or equivalent). Working knowledge of DAMA-DMBOK principles and applicable data privacy, security, and regulatory requirements is required. You must also be able to demonstrate strong stakeholder engagement, analytical problem-solving, communication, and cross-functional delivery skills.