Description du poste
**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