Lead Specialist, Data Modeling and ARC (Operational Technology)

Job description

Job Description Why this role matters This role creates the data modeling foundation and architecture for operational technology (OT) and industrial data across plants, sites and operating systems. It enables reliable OT analytics by standardizing how assets, tags, events, alarms, metrics, production contexts, historians, SCADA/DCS, condition monitoring and maintenance data are represented, managed and aligned with an organization's IT data products. What you will offer OT Data Modeling Standards and Architecture Define enterprise OT data modeling standards for time series data, events, alarms, assets, tags, metrics, and production contexts. Establish basic OT concepts including asset hierarchy, location hierarchy, naming labels, measure definitions, and work order linking. Design scalable data schemas for orchestrated OT layers and reusable OT data products with auditability, lineage, and quality attributes. Ensure that modeling patterns address industrial high-volume data, latency requirements, location variability, and intermittent connectivity. OT-to-IT Data Alignment and Integration Engineer OT-to-IT data alignment patterns that link operational metrics to enterprise entities for reporting and analytics. Align historian, SCADA/DCS, condition monitoring, maintenance, reliability, and production data with enterprise data products. Define integration rules for mapping, unit standardization, reference data, and consistency s semantic, normalization across sites. Support cross-domain analytics by ensuring operational technology data can be used to drive reliability, production performance, safety, sustainability and cost insights. Industrial Data Governance and Quality Embed governance by design into OT data models, including ownership, metadata, lineage, quality rules, and lifecycle controls. Define quality attributes for historical data, including compression, interpolation, quality flags, sampling frequency, and flow patterns. Create reusable governance patterns for site setup, data standardization, naming conventions, and master/reference data alignment. Ensure OT data products are traceable, reliable, maintainable and compliant with platform architecture standards. Security, Compliance and Solutions Design Authority partners with OT engineering, cybersecurity, data platform and infrastructure teams to design secure and compliant OT data flows. Ensure that the OT data architecture respects fragmentation, access control, operational resilience, and industrial cybersecurity requirements. Review solution designs, data models, vendor deliverables, and integration methods to ensure architectural consistency. Resolve modeling trade-offs and guide design decisions to support long-term scalability, maintainability and operational reliability. Technical Leadership, Company Pain and Knowledge Transfer Provide technical leadership in operational technology semantics, industrial data architecture, and modeling practices Data, and design of data products. Train engineers, data modelers, platform teams, and solutions teams on OT modeling standards and implementation practices. Lead design reviews of critical OT data initiatives and ensure decisions are documented and reusable across sites. Build knowledge assets, standards, templates, and reference patterns to accelerate consistent delivery of OT data architecture. What does success look like? Standard OT data models are defined and adopted consistently across sites, platforms, and industrial systems. Assets, tags, events, alarms, metrics, and production contexts are represented consistently for reliable analytics. OT-to-IT integration patterns enable reliable cross-domain reporting, performance analysis, and data product development. Coordinated OT layers include clear lineage, quality rules, auditability, and governance controls. Site preparation, tag normalization, unit standardization, and data model reuse are accelerated through practical reference styles. Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, Data Engineering, Industrial Engineering, Information Systems, or related field. Master's degree preferred. Experience At least 10 years of progressive experience in data modeling, data architecture, data engineering, industrial data platforms, or OT/IT integration. Strong exposure to OT data sources such as historians, SCADA/DCS, and monitoring Condition, maintenance, reliability, and production systems. Proven experience defining enterprise data models, data standards, semantic layers, governance controls, and scalable data product architectures. Skills That Matter OT Data Modeling and Industrial Data Architecture Time series data, historians, SCADA/DCS, events, alarms, and tag structures Asset hierarchy, site hierarchy, measurement models, and semantic standardization OT-to-IT integration and enterprise data alignment Data product design, formatted data layers, metadata, lineage, and quality management Data governance, reference data, naming conventions, and standardization of units Stream ingestion, big-volume data Handling and designing a scalable schema Security awareness Industrial Cyber and Secure OT Data Flow Design Architectural Review, Stakeholder Collaboration, Training and Technical Documentation Job Information Job Selection 9294 Job Category Lead Specialist Apply by 11/29/2026 Job Schedule Full Time Locations Riyadh, Riyadh, 11537, SA

Requirements

• Master's degree preferred

Skills