Lead end-to-end design and technical delivery of complex AI/BI architecture initiatives aligned with enterprise strategy and roadmaps.
Provide technical leadership across programs ensuring robust design principles, effective tools, risk management, and delivery excellence.
Approve and govern solution architecture for AI/Data products to ensure alignment with enterprise AI/analytics standards and industry best practices.
Translate business requirements into scalable AI/analytics solutions, selecting appropriate technologies and approaches.
Design and validate secure, reliable, high-performing analytics architectures that meet business needs and service expectations.
Develop AI & analytics data models (e.g., AI agents, data marts) and ensure effective data pipelines for transformation, quality, and loading.
Support solution implementation and operations through documentation, training, stakeholder communication, and issue resolution.

Bachelor’s degree in a relevant field with 7+ years of progressive experience in AI/data architecture within large, complex organizations.
Proven track record (5+ years) delivering enterprise-scale AI and analytics solutions, combining strong technical and analytical expertise.
Deep knowledge of data architecture, databases (relational, NoSQL, NewSQL), and advanced analytics/AI/ML techniques for high-volume and complex datasets.
Direct experience with AI/ML, LLMs, model lifecycle management, and responsible AI, including governance and risk frameworks.
Strong expertise in modern data platforms and tools (e.g., Azure Data Factory, Databricks, ETL/ELT, big data, cloud-based analytics, BI tools like Power BI).
Strategic thinker with the ability to align business, product, and technical needs in enterprise environments.
Excellent communication, collaboration, and analytical skills, with the ability to address complex challenges, regulatory considerations, and stakeholder needs.
TOGAF, Databricks Machine Learning or Data Engineering professional certification is an asset.
Experience with version control, CI/CD, or MLOps practices.
Knowledge of Agile development best practices, and experience with project management tools such as JIRA, Azure DevOps, and Confluence.

A flexible benefits program that allows each employee to select the level of coverage needed for their family in the areas of health, dental, insurance and disability.
A paid maternity and parental leave benefit that offers up to 20 weeks of paid leave for birth-giving parents and up to 12 weeks for other eligible parents, providing flexibility and support during this important life event.
Valuable retirement savings plans, including a savings plan with company stock as an investment option.
Paid time off/vacation/sick, plus paid personal days off (depending on location), and paid holidays.
An Employee and Family Assistance Program.
A Wellness Program, which focuses on supporting healthier employees by providing tools, resources, and opportunities to improve physical, mental, social, and financial well-being.
Enbridge’s FlexWork (hybrid work model) offers eligible employees (Manager and below) the option to work from home on Wednesdays and Fridays, opt for a compressed work week schedule, and have flexible start and end times. Role requirements determine your eligibility for each option.

Specialist I – TIS AI and Data Analytics

Key skills