Sr. Advisor Data Modernization

Calgary, AB, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 6, 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

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More about this job

Responsibilities

Lead the Liquids Pipelines data modernization roadmap and deliver scalable data pipelines, curated datasets, analytics, dashboards, and automation solutions. Establish sustainable data practices, optimize operational and power-cost performance, align stakeholders and technical teams, and mentor colleagues while advancing responsible AI and machine learning adoption.

Requirements

Requires a university degree in a relevant discipline and at least six years of directly related experience, or three additional years of experience without a degree. Candidates should have expert hands-on experience with Azure Databricks or a comparable platform, advanced Python and SQL skills, advanced Power BI and Excel experience, and demonstrated strengths in data architecture, governance, communication, and technical leadership.

Skills

Azure Databricks
Python
SQL
Power BI
Microsoft Excel
Data Engineering
Data Modernization
Data Governance
Data Quality
Data Modeling
Analytics
Automation
Artificial Intelligence
Machine Learning
Power Cost Optimization
Technical Leadership

Benefits

Flexible Benefits Program
Health Coverage
Dental Coverage
Life Insurance
Disability Insurance
Paid Maternity and Parental Leave
Retirement Savings Plan
Company Stock Investment Option
Paid Time Off
Paid Vacation
Paid Sick Leave
Paid Personal Days
Paid Holidays
Employee and Family Assistance Program
Wellness Program
Flexible Work Arrangements

Visa sponsorship

Not detected in the job text

Keywords

Azure Databricks
Python
SQL
Power BI
Microsoft Excel
Data Modernization
Data Engineering
Data Pipelines
Lakehouse Platforms
Data Architecture
Data Modeling
Data Governance
Data Quality
Data Lineage
Data Reconciliation
Data Testing
Analytics
Automation
Artificial Intelligence
Machine Learning
Power Cost Optimization
Operational Performance
Executive Dashboards
KPI Development
Liquids Pipelines
Energy Management
Power Accounting
Agile Delivery
Change Management
Data Product Ownership

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