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Added 21 mins ago
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Calgary, AB · AB · Vancouver, BC · Winnipeg, MB · Moncton, NB · Dartmouth, NS · Kitchener, ON · Toronto, ON · Montreal, QC · Edmonton, AB (Hybrid), AB · North York - Toronto, ON (Hybr, ON
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- Full-time
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Analyst, Insights and Pipeline Management
Canadian Cancer Society
Calgary, AB · Kelowna, BC · Prince George, BC · Vancouver, BC · Victoria, BC · St. John's, NL · Halifax, NS · Hamilton, ON · Ottawa, ON · Montreal, QC · Quebec, QC
- $52,000 to $59,000 CAD / year
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Senior Contracts Manager
Fluor
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- Full-time
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Innovative Data Platform Solution Engineer
Microsoft
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and…
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- Full-time
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Added 16 hours ago
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Sr. Advisor Data Modernization
Enbridge
Calgary, AB
- Full-time
Establish and champion data engineering, analytics, governance, quality, reconciliation, and documentation practices that support trusted and sustainable data products.
Added 16 hours ago
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Sr. Advisor Data Modernization
Enbridge
Calgary, AB
- Full-time
Establish and champion data engineering, analytics, governance, quality, reconciliation, and documentation practices that support trusted and sustainable data products.
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Senior AI Developer - EN 428
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Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
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Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Calgary, AB
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- Full-time
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Added 18 hours ago
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Enbridge

Sr. Advisor Data Modernization

Calgary, AB, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 22, 2026
Experience: Candidates without a university degree require an additional 3 years of related experience.
Posting language: English
Posted: Oct 7, 2026

Original job description

Posting End Date:

October 21, 2026

Employee Type:

Regular-Full time

Union/Non:

This is a non-union position

At Enbridge, we are committed to delivering safe, reliable energy while advancing operational excellence, innovation, and sustainable growth. We are looking for a Sr. Advisor, Data Modernization to lead the delivery of the Liquids Pipelines data modernization roadmap and transform complex business needs into scalable, trusted, and decision-ready data solutions. In this role, you will collaborate across business, TIS, and operational teams to advance analytics, automation, AI capabilities, and data-driven decision-making, with a strong focus on operational performance and power cost optimization. You will also provide technical leadership and mentorship while helping establish sustainable data practices aligned with enterprise standards.

If you thrive in a fast-paced, collaborative environment and enjoy solving complex technical and operational challenges, we encourage you to apply today!

What You Will Do:

Lead the development and execution of the Liquids Pipelines Data Modernization roadmap, translating business strategy, operational needs, and stakeholder priorities into scalable data solutions and multiyear delivery plans.
Design and lead the delivery of scalable data pipelines, curated datasets, analytical solutions, and reusable assets using Azure Databricks, Python, SQL, Power BI, and related enterprise technologies.
Establish and champion data engineering, analytics, governance, quality, reconciliation, and documentation practices that support trusted and sustainable data products.
Lead complex analytics and automation initiatives focused on power cost optimization, operational performance, variance drivers, and commercial opportunities, translating insights into actionable recommendations for business leaders.
Direct the development of executive and operational dashboards, KPIs, reports, and analytical tools that enable effective decision-making and provide visibility into business and operational performance.
Partner with business stakeholders, TIS, and platform teams to align priorities, guide technical designs, evaluate trade-offs, resolve implementation challenges, and successfully move solutions from concept through sustainment, including opportunities to responsibly integrate AI, automation, and machine learning capabilities.
Advise on the strategy for integrating AI-enabled tools, automation agents, and machine learning capabilities into data modernization workflows, analytics products, and business processes.
Provide technical leadership and mentorship to Advisors, analysts, and students through coaching, design and code reviews, knowledge sharing, and constructive feedback to strengthen overall team capability.

Who You Are:

University degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Business Analytics, or a related discipline with 6 or more years of progressively responsible, directly related experience. Candidates without a university degree require an additional 3 years of related experience.
Expert, hands-on experience with Azure Databricks or comparable lakehouse/data engineering platforms, along with advanced proficiency in Python and SQL to design, optimize, automate, and troubleshoot complex data solutions.
Advanced experience with Power BI and Microsoft Excel, including data modeling, visualization, analytical logic, KPI development, and creating meaningful executive-level reporting.
Demonstrated experience translating complex business strategies and requirements into data architecture, technical requirements, data models, solution designs, reporting logic, and delivery roadmaps, with strong knowledge of data quality, governance, lineage, testing, and reconciliation practices.
Strategic and creative problem solver who can navigate ambiguity, analyze complex and non-standard challenges, identify relationships across systems, and develop practical, data-driven recommendations.
Influential and collaborative communicator with demonstrated ability to engage technical, non-technical, and leadership audiences, build stakeholder alignment, lead discussions and presentations, and coach and mentor others.
Demonstrate a growth mindset and commitment to continuous learning, remaining adaptable and resilient while building your knowledge of emerging data, analytics, automation, and AI technologies and applying new capabilities to evolving business needs.

Preferred:

Experience with Liquids Pipelines infrastructure and operations, energy management, power accounting, commercial structures, scheduling, budgeting/long-range planning, or operational performance analytics.
Experience leading production-grade data pipelines, automation solutions, AI-enabled tools or machine learning capabilities, and/or project management, agile delivery, change management, or data product ownership initiatives.

Working Conditions:

Typical Office Environment.
Minimal travel required.

Benefits:

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, or have flexible start and end times. Role requirements determine your eligibility for each option.

At Enbridge, we are dedicated to our core value of Inclusion. We are proud to be an Equal Opportunity Employer. We are committed to providing employment opportunities to all qualified individuals, without regard to age, race, color, national or ethnic origin, religion, sex, sexual orientation, gender identity or expression, marital status, family status, veteran status, Indigenous status, disability, or any other reason protected by federal, state, or local law. Applicants with disabilities can request accessible formats, communication supports, or other accessibility assistance by contacting careers@enbridge.com.

Information For Applicants:

Applications can be submitted via our online recruiting system only.
We appreciate your interest in working with us; however, only those applicants selected for interviews will be contacted.
Final candidates for this position may be required to undergo a security screening, including a criminal records check.

To learn more about us, visit www.enbridge.com

Apply About employer

More about this job

Responsibilities

Lead the development and execution of the Liquids Pipelines data modernization roadmap to transform business needs into scalable data solutions. Collaborate with cross-functional teams to advance analytics, automation, and AI capabilities while providing technical leadership and mentorship.

Requirements

Requires a university degree in a relevant field and at least 6 years of progressively responsible experience. Candidates must possess expert hands-on experience with Azure Databricks, Python, SQL, and advanced data visualization tools.

Skills

Data modernization
Azure Databricks
Python
SQL
Power BI
Data engineering
Data governance
Data modeling
Analytics
Automation
Machine learning
AI integration
Technical leadership
Mentorship
Strategic planning
Stakeholder management

Benefits

Health insurance
Dental insurance
Disability insurance
Paid maternity leave
Paid parental leave
Retirement savings plan
Company stock
Paid time off
Paid holidays
Employee and family assistance program
Wellness program

Visa sponsorship

Not detected in the job text

Keywords

Data Modernization
Liquids Pipelines
Azure Databricks
Python
SQL
Power BI
Data Engineering
Data Governance
Artificial Intelligence
Machine Learning
Automation
Data Architecture
Data Modeling
KPI Development
Operational Performance
Power Cost Optimization
Cloud Platforms
Data Quality
Agile Delivery
Change Management
Data Product Ownership
Analytics
Business Intelligence
Technical Leadership
Mentorship
Stakeholder Engagement
Strategic Planning
Data Reconciliation
Reporting Logic
Lakehouse

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