Senior Project Manager to lead enterprise-wide data governance initiatives and an artificial intelligence (AI) implementation projects

Our large Oil & Gas industry client is seeking a Senior Project Manager to lead enterprise-wide data governance initiatives and an artificial intelligence (AI) implementation projects.

This is an initial 3-month contract with a possibility of extension. The successful candidate will be based in Calgary and agreeable to following a hybrid working model in the heart of Downtown Calgary.

Must-Haves:

• 5+ years of hands-on project management experience, ideally focused on data governance, AI, or enterprise technology initiatives.
• Demonstrated expertise in data governance principles, frameworks, and regulatory requirements (including privacy, compliance, and auditability).
• Proven track record of successful AI project implementations and data analytics initiatives within a complex business environment.
• Working knowledge of the energy sector, including industry-specific data regulations and operational best practices.

Key Responsibilities:

• Lead the full project lifecycle for data governance and AI initiatives-from initial conception, requirements definition, and stakeholder engagement through implementation, production release, and project closure.
• Direct the management of production releases and system deployments for advanced data platforms and AI tools, ensuring seamless integration and minimal disruption to business operations.
• Lead artificial intelligence and machine learning project implementations, guiding teams through requirements gathering, model development, validation, and deployment.
• Coordinate cross-functional integration of AI solutions within existing enterprise systems, ensuring business needs are translated into robust, actionable technical specifications.
• Oversee initiatives focused on responsible AI governance, including ethics, bias mitigation, and regulatory compliance for machine learning models and automated decision systems.
• Manage complex projects involving data classification, lineage mapping, and metadata management to ensure transparency and traceability across the company's data landscape.