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Added 6 mins ago
MR
Broker of Record
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Vaughan, ON
- Up to $130,000 CAD / year
- Full-time
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Added 6 mins ago
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Added 21 mins ago
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Added 51 mins ago
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TC Energy

Operations Intelligence & Analytics Specialist

Calgary, AB, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 11, 2026
Posting language: English
Posted: Nov 3, 2026

Original job description

At TC Energy, we are proud to connect the world to the energy it needs. Guided by our values of safety in every step, personal accountability, one team and active learning, we deliver the critical energy that North America and the world rely on while balancing reliability, affordability and sustainability.

Join us. Connect to what matters.

The Opportunity

We are seeking an experienced analytics professional to lead how Power Operations uses data, analytics, and artificial intelligence (AI) to improve asset performance, reliability, and decision-making.

In this role, you will support field operations and Asset Compliance by building the metrics, monitoring tools, and AI-enabled solutions that give teams timely, reliable insight into generator performance and operational risk. You will identify and evaluate new AI use cases, apply sound governance, and move quickly from idea to a tested, working solution.

Working with Operations, Asset Compliance, Engineering, Finance, IT, and Cybersecurity, you will draw on data shared across the business. The initial focus is operational and generator-performance analytics, with the opportunity to expand the scope as the program matures.

What you'll do

Plan, coordinate, and lead the development of KPIs, dashboards, and analytical tools that meet the information needs of executives, field operations, and Asset Compliance, providing clear visibility into asset and generator performance, reliability, and availability to support both day-to-day and longer-term decisions.
Design, build, and maintain monitoring tools that proactively flag emerging performance, reliability, and compliance risks related to generator performance, supporting timely intervention before issues escalate.
Analyze event, performance, and operational data to find trends, anomalies, and root causes, and use what you learn to improve monitoring and prevent repeat issues.
Analyze complex operational and compliance processes end to end, identify gaps and improvement opportunities, and redesign processes, data flows, and validation steps so information is accurate, complete, and reliable.
Lead asset analytics, including benchmarking, operating expense modelling, variance and scenario analysis that help leadership weigh options and make informed decisions on events and initiatives.
Track industry developments, including through industry groups and peer forums, and identify and evaluate AI, automation, and advanced-analytics use cases, developing, testing, and implementing practical, well-governed solutions using approved enterprise tools, including AI assistants, agents, and automated workflows.
Apply appropriate governance to AI-enabled tools, including human oversight, output validation, data quality, access and permissions, auditability, and ongoing monitoring, in partnership with IT, Cybersecurity, Data Governance, and Compliance.
Lead AI adoption and change management across Power Operations by running proofs of concept and pilots, scaling successful solutions, coaching users, and measuring value, adoption, and performance.
Support risk-based assurance over data, reports, AI-enabled tools, and compliance controls for reliability and generator performance, and work with Cybersecurity and IT to review evidence, access and change controls, and records for operational technology assets, including exception reporting, audit-ready evidence, and support for audits and self-assessments.
Partner with field operations, Asset Compliance, Engineering, Finance, and other teams to translate business problems into practical analytical solutions and turn findings into clear recommendations with both short- and long-term impact that help leaders and field teams act with confidence.

Minimum Qualifications

University degree in engineering or engineering technology, data analytics, computer science, mathematics, economics, business, or a related discipline, or an equivalent combination of education and experience.
10 or more years of related experience in analytics, business process analysis, operations, or a related field.
Proven experience planning and leading analysis of complex business processes and operational, asset, or performance data, using reporting, business intelligence, or analytical tools, with a strong understanding of how data and systems interrelate.
Advanced expertise in at least one specialized discipline, such as business process analysis and redesign, benchmarking, performance measurement, change management, or defining systems requirements, with a solid understanding of several others.
Practical experience finding, piloting, or rolling out AI, automation, or advanced-analytics solutions, such as building or testing assistants, agents, or bots with enterprise AI tools. A background in software development or model building is not required.
Strong knowledge of how to use AI responsibly, including understanding where models can fall short, the importance of good data, checking outputs, keeping people in the review loop, and scaling controls to the level of risk.
Advanced technical skills and the ability to engage effectively with data, engineering, IT, and operations specialists, turning business needs into clear requirements and workable solutions.
Strong, independent judgment in selecting and interpreting information, adapting standard methods when needed, and resolving complex problems, along with integrity and the ability to explain technical and risk issues simply to people at all levels.
Curious, with strong analytical and problem-solving skills and a practical approach to turning good ideas into results.

Preferred Qualifications

Experience in power generation, energy, utilities, or other asset-intensive operations, including generator performance, availability, or reliability metrics.
Experience with Power BI, Excel, Power Query, SQL, Python, or similar tools, and with Microsoft 365, SharePoint, Power Automate, Copilot, or other enterprise AI and automation platforms.
Experience leading technology adoption, proofs of concept, or change management.
Experience with maintenance management, operational risk, cost estimating, or financial modelling, and familiarity with SAP or other enterprise asset management systems.
Experience with audit, assurance, internal controls, or regulatory compliance, such as NERC reliability standards, CIP cybersecurity requirements, AESO/SPP/ERCOT/PJM market rules.

To remain competitive, support our high-performance culture and allow for more flexibility in the way we work, we offer a hybrid work model and flexible dress code for our eligible office-based workforce in Canada, the U.S. and Mexico.

About our business

We are a leader in North American energy infrastructure, spanning Canada, the U.S. and Mexico. For over 75 years, we have proudly connected the world to the energy it needs. Every day, we move more than 30 per cent of the natural gas used across the continent and connect LNG exports to global markets, powering communities and industries. Complemented by strategic ownership and low-risk investments in power generation, our infrastructure delivers affordable, reliable and sustainable energy across North America. Our field operations span seven Canadian provinces, 34 U.S. states and seven Mexican states. Together, we strengthen the connections that deliver the energy the world relies on-every day.

TC Energy is an equal opportunity employer and participates in the E-Verify program supervised by the US government. We welcome applications from all qualified individuals regardless of race, religion, age, sex, color, national origin, sexual orientation, gender identity, veteran status, or disability. We are also committed to providing accommodations throughout the recruitment process. Applicants requiring accommodations or accessible formats are encouraged to contact us at careers@tcenergy.com for support.

All applicants must have legal authorization to work in the country where the position is based, without restrictions. Background screening is required for all positions, which may include criminal and/or credit checks. Offers may be extended at a different level or job title that best aligns with the successful candidate's qualifications.

Learn more

Visit us at TCEnergy.com and connect with us on our social media channels for our latest news, employee stories, community activities, and other updates.

Thank you for considering TC Energy in your career journey.

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More about this job

Responsibilities

Lead the development of analytics, AI-enabled solutions, and KPIs to improve asset performance, reliability, and operational decision-making. Partner with cross-functional teams to redesign processes and implement governance for data and AI tools across Power Operations.

Requirements

Requires a university degree in engineering, data analytics, or a related field and 10+ years of experience in analytics or operations. Candidates must demonstrate expertise in business process analysis, AI/automation implementation, and the ability to translate complex data into actionable business insights.

Skills

Data analytics
Artificial intelligence
Business process analysis
Performance measurement
Change management
KPI development
Asset management
Operational risk
Power BI
SQL
Python
SAP
Automation
Governance
Benchmarking
Financial modelling

Benefits

Hybrid work model
Flexible dress code

Visa sponsorship

Not detected in the job text

Keywords

Operations Intelligence
Analytics
Artificial Intelligence
Asset Performance
Reliability
KPIs
Dashboards
Governance
Power BI
SQL
Python
SAP
Automation
Change Management
Operational Risk
Financial Modelling
Data Quality
Cybersecurity
Engineering
Power Generation
Utilities
NERC
CIP
Business Process Analysis
Benchmarking
Microsoft 365
SharePoint
Power Automate
Copilot
Predictive Analytics

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