This is a remote position.

We are seeking a Senior Data Management & Data Pipelines Specialist to lead the design and operation of enterprise data management capabilities, including data governance, master and reference data, metadata, data quality, and the underlying pipelines that support them. The role bridges data strategy and engineering, ensuring that data is trusted, well-governed, and fit for purpose across the organization.

Data Management & Governance

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Design and operationalize data governance frameworks, including ownership, stewardship, and policies

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Implement master data management (MDM) and reference data management capabilities

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Establish metadata management, data cataloging, and lineage practices across the platform

Data Quality

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Define data quality dimensions, KPIs, and rule sets for critical data domains

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Implement data quality monitoring, profiling, and remediation workflows

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Drive root cause analysis and continuous improvement of data quality issues

Data Pipelines & Operations

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Design and oversee end-to-end data pipelines that support governance, MDM, and analytics use cases

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Ensure pipelines are reliable, observable, and aligned with data SLAs

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Partner with data and integration engineers to embed governance and quality controls into pipelines

Stakeholder Engagement

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Work with business owners and data stewards to define critical data elements and policies

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Drive change management and adoption of data management practices across business and technology teams

Requirements

Technical

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6–10+ years of experience across data management, data governance, and data engineering

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Hands-on experience with data management tooling, such as:

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Data catalogs (Collibra, Alation, Informatica EDC, Microsoft Purview, or similar)

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MDM platforms (Informatica MDM, Reltio, SAP MDG, or similar)

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Data quality tools (Informatica DQ, Ataccama, or similar)

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Strong experience designing and operating data pipelines on modern cloud data platforms

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Proficiency in SQL; familiarity with Python or Spark is a plus

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Experience with orchestration tools (Airflow, ADF, Control-M) and observability for data

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Understanding of data modeling, metadata standards, and reference architectures

Industry / Domain (Highly Preferred)

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Experience in mining, metals, heavy industry, oil & gas, utilities, or other large industrial sectors is a strong plus

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Exposure to ERP (SAP) master data, asset / equipment hierarchies, and supply chain data is highly valued

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Prior experience in the GCC or Saudi Arabia is an advantage

Governance & Compliance Awareness

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Strong understanding of data governance frameworks (DAMA-DMBOK or equivalent)

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Familiarity with data privacy, classification, and regulatory requirements (including local data residency considerations)

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Experience embedding controls into operational data pipelines

Soft Skills

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Strong stakeholder management and ability to drive cross-functional change

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Structured, analytical, and outcome-oriented

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Clear communication with both technical and business audiences

Education & Certifications

Preferred:

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Degree in Computer Science, Information Management, Data Engineering, or related field

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Certifications such as CDMP (DAMA), Collibra, Informatica, or cloud data certifications are a strong advantage

Additional Requirements

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Onsite presence in Riyadh required

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Experience working in large enterprise or government environments

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Ability to operate in a multi-vendor delivery ecosystem