Data Steward - OT

Key Responsibilities

• Manage, monitor, and maintain the quality, accuracy, and completeness of operational technology (OT) data streams and telemetry datasets.

• Define and execute rule-based data validation, cleanup procedures, and anomaly detection logic to resolve corrupted, missing, or duplicated sensor tags.

• Standardize physical-to-digital asset modeling, schema mapping, and tag naming conventions across industrial assets.

• Oversee and validate OT data curation, transformation rules, and table definitions within Databricks / Enterprise Data Lakehouse environments.

• Maintain organized data catalogs, data dictionaries, and metadata documentation for OT and plant data assets.

• Ensure adherence to enterprise data governance policies, standards, data security, and lifecycle management protocols.

• Collaborate with engineering, plant operations, IT, and downstream analytics teams to align operational data requirements with business needs.

• Conduct root-cause analysis on data quality issues and establish alerting workflows to maintain continuous data flow.

• Support business intelligence, dashboarding, and advanced analytics teams by providing validated, high-fidelity time-series and operational data.

Personal Attributes

• Analytical thinker with a structured and methodical approach to problem-solving.

• High level of integrity, professionalism, and commitment to data quality and precision.