Business Data & AI Specialist (Calgary, AB)Hybrid

• 1-Year Contract 
• Hybrid: In-Office (Monday, Tuesday & Thursday), Remote (Wednesday & Friday)
• Location: 200, 425 - 1st Street SW Calgary, AB T2P 3L8

At Enbridge, our goal is to be the first-choice energy delivery company in North America and beyond—for customers, communities, investors, regulators and policymakers, and employees. 

To meet that goal, Enbridge is partnering with Raise—a leading recruitment firm that specializes in IT, Technical, and Engineering staffing.  

Together, Raise and Enbridge are building teams that are rising to meet the growing energy needs of North America. If you’re looking for a challenging role that will make the most of your skills while allowing you to make an impact, this is it.  

Enbridge is hiring a Business Data & AI Specialist right now—when you apply, Raise will review your application within 48 hours and contact qualified applicants for interviews.  

Job Overview:

• GTM D&SS is seeking a Business Data & AI Specialist to support the Gas Transmission business by delivering advanced data science, AI/ML, and automation solutions. This role focuses on solving real operational challenges—enhancing reliability, ensuring compliance, optimizing asset management, and improving decision-making.
• Embedded within the D&SS team, the successful candidate will work closely with cross-functional stakeholders including operations, engineering, integrity, records, and asset management. The role requires a balance of strong technical expertise and business acumen to translate complex operational needs into practical, scalable, and auditable data-driven solutions.

Key Responsibilities:

• Partner with stakeholders across operations, engineering, reliability, records, and asset management to identify and prioritize data and AI opportunities
• Translate business challenges and operational pain points into structured analytics and modeling problems
• Ensure solutions are aligned with operational realities, regulatory requirements, and business objectives
• Acquire, cleanse, transform, and validate structured and unstructured data from multiple sources
• Conduct exploratory data analysis to identify trends, anomalies, risks, and optimization opportunities
• Ensure data quality and integrity to support reliable insights
• Design, develop, validate, and optimize machine learning models (e.g., classification, regression, clustering, NLP) tailored to business use cases
• Develop Generative AI and Agentic AI solutions, including prompt engineering and workflow automation
• Apply appropriate evaluation techniques and document assumptions, limitations, and performance metrics
• Deliver reproducible, well-documented analyses and models
• Clearly communicate insights, recommendations, and limitations to both technical and non-technical audiences
• Create intuitive dashboards and visualizations that support operational and strategic decision-making
• Support model deployment and operationalization in collaboration with D&SS and TIS teams
• Apply foundational MLOps practices, including monitoring model inputs, outputs, and performance over time
• Ensure solutions remain reliable, scalable, and maintainable in production environments
• Prepare and maintain comprehensive documentation to support knowledge transfer, auditability, and compliance
• Ensure adherence to coding standards, data governance, and security best practices
• Contribute clean, well-structured Python code within shared repositories (Git)
• Identify opportunities to enhance existing analytics and AI solutions within the business
• Stay current on emerging data science, machine learning, and AI advancements relevant to operational contexts
• Promote the adoption of best practices and innovative approaches across teams

Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field
• 6–8 years of experience applying data analytics, machine learning, and AI to solve business or operational problems
• Proven ability to translate business needs into actionable, data-driven solutions
• Strong proficiency in Python and common data science libraries (e.g., Pandas, NumPy, Scikit-learn)
• Solid understanding of applied machine learning techniques and statistical methods
• Experience with data preparation, feature engineering, and model evaluation
• Familiarity with version control systems (Git) and collaborative development practices
• Strong analytical thinking and problem-solving skills
• Excellent communication skills, with the ability to present complex insights clearly and concisely
• Demonstrated ability to collaborate cross-functionally beyond technical teams
• Ability to work independently while managing priorities within defined scope
• Strong attention to detail and commitment to delivering high-quality, reliable solutions

Preferred Skills

• Experience with Generative AI, Large Language Models (LLMs), or agent-based systems
• Exposure to MLOps frameworks or model deployment pipelines
• Experience working in asset-intensive or regulated industries (e.g., utilities, energy, infrastructure)

Please note: Successful applicants will be employees of Raise, working at Enbridge facilities with both Enbridge and contract employees.   

Applying with Raise  

Raise is an established IT and engineering hiring firm with over 60 years’ experience connecting talented candidates with meaningful work. When you apply, you’ll get more than just a chance at a great job—you’ll become part of a vast network of employers that are always changing. 

We value diversity and inclusion and encourage all qualified people to apply. If we can make this easier through accommodation in the recruitment process, please contact us at +1 800-567-9675 or ECTC@raiserecruiting.com

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