Will support validation and data quality efforts for Safety Instrumented Systems (SIS) and control systems within a large, regulated industrial environment. The primary focus of this role is Digital Cause & Effect (DiCE) automated metrics table population, Cause & Effect (C&E) document tag comparison, and control system tag validation. Must have experience with control systems, SIS (safety instrumented systems), cause & effect testing, documentation and validation.
Responsibilities:
• Populate and maintain automated DiCE metrics tables using established templates and validation rules
• Clean, organize, and transform large datasets to ensure accurate metrics reporting
• Perform consistency checks to verify alignment across data sources
• Track progress against defined validation milestones and report status to project leads
• C&E Documentation Validation
• Execute tag-by-tag comparisons between Cause & Effect (C&E) documentation and reference sources (e.g., instrument lists, I/O lists, logic narratives)
• Identify discrepancies including missing tags, naming mismatches, duplicate entries, or incorrect associations
• Log and document findings in structured tracking tools with clear, repeatable evidence
• SIS / Controls Tag Validation
• Validate SIS and control system tags for completeness, accuracy, and consistency across documentation and systems
• Support large-scale validation efforts by executing repeatable checks across multiple document sets
Escalate unresolved discrepancies to senior controls or SIS engineers with summarized impacts and supporting documentation
Requirements:
• Strong Excel and data-driven skill set, including working with large datasets
• Ability to perform repetitive validation tasks accurately and consistently
• Strong organizational and documentation skills
• Clear written communication skills for issue logging and status reporting
Experience with SIS, controls, DCS/PLC and instrumentation environments
Apply here
