Principal Specialist, Data Modeling & Arch (OT)

Job Description

Job Purpose

Key Accountabilities

• Define OT data modeling standards for time-series, events, alarms, and asset hierarchies to support operational analytics and reliability use cases.
• Establish canonical OT concepts (asset, tag, measurement, work order linkage, location hierarchy) and ensure consistent adoption across sites and solutions.
• Architect OT-to-IT data alignment patterns that map operational measurements to enterprise entities for cross-domain reporting and performance analysis.
• Ensure OT models account for historian characteristics (high frequency, compression, interpolation, quality flags) and streaming ingestion patterns.
• Design scalable schemas for curated OT layers and OT data products, including auditability, lineage, and quality attributes.
• Partner with OT engineering, cyber/security, and platform teams to ensure secure, segmented, and compliant design for OT data flows.
• Review OT data solution designs and vendor deliverables; provide design authority to resolve modeling trade-offs and ensure long-term maintainability.
• Define reusable patterns for site onboarding and variability handling (naming normalization, tag mapping, unit standardization, reference data).
• Coach engineers and modelers on OT semantics and modeling best practices; lead design reviews for critical OT initiatives.

Minimum Qualification

• Bachelor’s degree in Computer Science/Engineering, Industrial Engineering, Data Engineering, or related field.
• Master’s degree preferred; OT/industrial systems background is an advantage.

Minimum Experience

• 10–15 years of experience in data modeling/architecture with demonstrated exposure to OT/industrial data landscapes.
• Experience working with historians, industrial protocols/systems, and integrating OT data into enterprise analytics platforms.

Maaden High Performance Competencies

• Strategic Thinking & Decision Making – Anticipates implications and guides enterprise direction.
• Collaboration & Influencing – Aligns diverse stakeholders without direct authority.
• Execution Excellence – Sets high standards and ensures measurable outcomes.
• Innovation & Adaptability – Applies modern practices and evolves standards pragmatically.
• Change Leadership – Drives adoption, governance, and continuous improvement.

Skills

• Deep understanding of OT data characteristics (time-series, events, alarms, quality flags) and asset hierarchies.
• Ability to model and integrate OT and IT data for enterprise analytics and operational performance reporting.
• Knowledge of SCADA/DCS/historians, sensors, and industrial context; familiarity with reliability/maintenance data linkages.
• Strong governance-by-design mindset including classification, access control, and auditability for industrial data.
• Stakeholder engagement across plant/site operations, OT engineering, IT, and data platform teams.