Operations Intelligence & Analytics Specialist

Opportunity

What you'll do

• Develop KPIs, dashboards, and analytical tools for executives, field operations, and Asset Compliance.
• Build monitoring tools that flag generator performance, reliability, and compliance risks for timely intervention.
• Analyze operational data for trends, anomalies, root causes, and ways to prevent repeat issues.
• Assess processes end to end and improve process design, data flows, and validation for accurate and reliable information.
• Lead benchmarking, operating expense modelling, and variance and scenario analysis for asset decisions.
• Identify, evaluate, test, and implement practical AI, automation, and advanced analytics solutions using approved enterprise tools.
• Govern AI tools through human oversight, output validation, data quality, access controls, auditability, and ongoing monitoring.
• Lead AI adoption through proofs of concept, pilots, scaling, coaching, and measurement of value and performance.
• Support risk-based assurance of data, reports, AI tools, and compliance controls; review operational technology evidence, access and change controls, and records.
• Prepare exception reporting and audit-ready evidence and support audits and self-assessments.
• Collaborate across operations, compliance, engineering, finance, IT, and cybersecurity to turn business problems into recommendations.

Minimum qualifications

• Relevant university degree in engineering, engineering technology, analytics, computer science, mathematics, economics, business, or related discipline, or equivalent education and experience.
• At least 10 years of related experience in analytics, business process analysis, operations, or a related field.
• Experience leading analysis of complex processes and operational, asset, or performance data using reporting, BI, or analytical tools.
• Advanced expertise in at least one discipline such as process redesign, benchmarking, performance measurement, change management, or systems requirements.
• Practical experience piloting or rolling out AI, automation, or advanced analytics; software development and model building are not required.
• Strong responsible-AI knowledge, technical capability, independent judgment, problem-solving, integrity, and communication skills.

Preferred qualifications

• Energy, utilities, power generation, or asset-intensive operations experience is preferred.
• Power BI, Excel, Power Query, SQL, Python, Microsoft 365, SharePoint, Power Automate, Copilot, or comparable tools are preferred.
• Technology adoption, proofs of concept, change management, maintenance management, operational risk, cost estimating, financial modelling, or SAP experience is preferred.
• Audit, assurance, internal controls, regulatory compliance, NERC reliability standards, CIP requirements, or regional market rules experience is preferred.

Work model

• TC Energy offers a hybrid work model for eligible office-based employees in Canada, the United States, and Mexico.

About TC Energy