Principal Specialist Data Modeling & Arch (Operational Technology)

About Maaden

Maaden, established in 1997, is recognized as one of the fastest-growing mining companies globally and the largest multi-commodity mining and metals company in the Middle East. The company is instrumental in developing the mining industry to become a key pillar of Saudi Arabia’s economy by building an integrated mining value chain.

Role Overview

The Principal Specialist, Data Modeling & Arch (Operational Technology) will establish the data modeling and architecture foundation for Operational Technology (OT) and industrial data across plants, sites, and operational systems. This full-time role, based in Riyadh, is crucial for enabling trusted OT analytics by standardizing data representation, governance, and alignment with enterprise IT data products for assets, tags, events, alarms, measurements, production contexts, historians, SCADA/DCS, and condition monitoring data.

Key Responsibilities

• Define enterprise OT data modeling standards for time-series data, events, alarms, assets, tags, measurements, and production contexts.
• Establish canonical OT concepts including asset hierarchy, location hierarchy, tag naming, measurement definitions, and work order linkage.
• Design scalable data schemas for curated OT layers and reusable OT data products with auditability, lineage, and quality attributes.
• Architect OT-to-IT data alignment patterns that connect operational measurements with enterprise entities for reporting and analytics.
• Define integration rules for tag mapping, unit standardization, reference data, semantic consistency, and cross-site normalization.
• Embed governance-by-design into OT data models, including ownership, metadata, lineage, quality rules, and lifecycle controls.
• Partner with OT engineering, cybersecurity, data platform, and infrastructure teams to design secure and compliant OT data flows.
• Review solution designs, data models, vendor deliverables, and integration approaches to ensure architectural consistency.
• Provide technical leadership on OT semantics, industrial data architecture, data modeling practices, and data product design.
• Coach engineers, data modelers, platform teams, and solution teams on OT modeling standards and implementation practices.

Qualifications and Experience

• A minimum of 10 years of relevant experience in data modeling and architecture, specifically within Operational Technology environments.
• Demonstrated ability to address high-volume industrial data, latency requirements, site variability, and intermittent connectivity in modeling patterns.
• Experience in aligning historians, SCADA/DCS, condition monitoring, maintenance, reliability, and production data with enterprise data products.
• Proficiency in defining quality attributes for historian data, including compression, interpolation, quality flags, sampling frequency, and streaming patterns.
• Familiarity with industrial cybersecurity requirements, segmentation, access control, and operational resilience.

Measures of Success

Success in this role will be demonstrated by the consistent adoption of standard OT data models across sites, platforms, and industrial systems. This includes the consistent representation of assets, tags, events, alarms, measurements, and production contexts for trusted analytics. Effective OT-to-IT integration patterns that enable reliable cross-domain reporting, performance analysis, and data product development are also key indicators. Additionally, the role's success will be measured by curated OT layers that feature clear lineage, quality rules, auditability, and governance controls, alongside accelerated site onboarding, tag normalization, unit standardization, and data model reuse through practical reference patterns.