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Senior Data Engineer - Vancouver
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Perform root cause analysis to identify permanent resolutions to software or business process issues
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Senior Data Engineer
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Perform root cause analysis to identify permanent resolutions to software or business process issues"
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Co-operators

Senior BI Analytics Governance Specialist

Calgary, AB, Canada
Guelph, ON, Canada
Toronto, ON, Canada
Montreal, QC, Canada
Quebec, QC, Canada

Expected salary range $60,574.00 to $100,956.00 CAD. · Full-time

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Job details

Pay: Expected salary range $60,574.00 to $100,956.00 CAD.
Job type: Full-time
Experience: 5+ years of progressive experience in analytics governance, data governance, business intelligence, risk management, compliance, or a related discipline.
Posting language: English
Posted: Nov 5, 2026

Original job description

Company: CGIC Department: Business Intelligence Employment Type: Regular Full-Time Work Model: Hybrid (2 days in office) Language: English is required, French is an asset. Additional Information: This/these role(s) is/are currently vacant

The Opportunity:

We are a leading Canadian financial services co-operative committed to being a catalyst for a sustainable and resilient society and our team is essential to deliver on this strategy. That’s why we prioritize our people, to ensure we provide a strong culture and development opportunities which enables our team to thrive and to live our purpose. The best part is that you will work with people that care passionately about you, our clients and our communities.

As a Senior BI Analytics Governance Specialist, you will play a key role in advancing enterprise analytics governance practices across the organization. You will support the development, implementation, and continuous improvement of governance frameworks, policies, standards, and controls that promote trusted, compliant, and responsible use of analytics, reporting, models, and AI-driven solutions. Working collaboratively across business and technical teams, you will help balance innovation with risk management while enabling data-driven decision-making and strengthening the organization's analytics maturity.

How you will create impact:

Lead and support the implementation and continuous improvement of analytics governance frameworks, policies, standards, and procedures.
Establish governance processes and controls that promote the responsible use of reporting, analytics, models, artificial intelligence, and emerging technologies within enterprise data and analytics ecosystems.
Partner with business stakeholders, analytics teams, Risk, Compliance, Privacy, and Information Security to ensure governance requirements are effectively understood and adopted.
Support the development and maintenance of analytics asset inventories, metadata management practices, and governance reporting across platforms including Microsoft Fabric, Databricks, Power BI, MicroStrategy, Azure Machine Learning, and Generative AI solutions.

To join our team:

Bachelor's degree in Business Intelligence, Information Management, Data Analytics, Business Administration, Computer Science, or a related field.
5+ years of progressive experience in analytics governance, data governance, business intelligence, risk management, compliance, or a related discipline.
Experience developing, implementing, and maintaining governance frameworks, policies, standards, controls, and best practices.
Strong knowledge of data, analytics, model, and AI governance principles, including risk assessment and regulatory compliance considerations.
Demonstrated ability to collaborate with and influence cross-functional stakeholders while leading governance initiatives across multiple business areas.
Strong analytical, critical thinking, and problem-solving skills, with the ability to assess risk and recommend practical solutions.
Experience working with modern enterprise analytics and data platforms, including Microsoft Fabric, Databricks, Power BI, and Power Apps.
Experience governing analytics, reporting, AI, and machine learning platforms such as Power BI, MicroStrategy, Azure Machine Learning, Databricks, and Generative AI solutions.
Knowledge of metadata management, analytics asset inventories, and governance controls within cloud-based analytics environments.
Experience using Python for analytics, automation, governance, or data management initiatives is considered an asset.
Experience with analytics, reporting, data management, or governance tools is an asset; industry certifications (e.g., CDMP, DCAM, DAMA) and insurance or financial services experience are considered assets.
This position primarily works with majority non-francophone groups, and teams located outside of Québec, and requires proficiency in English. The essential non-French duties are not assignable to adjacent or other team members.

How you will succeed:

You influence change and are committed to continuous improvement, in order to exceed client expectations.
You leverage critical thinking skills to identify problems and proactively propose solutions.
Your strong communication skills allow you to clearly convey messages.
You’re an effective team player who shares knowledge to support our peers.
You build collaborative relationships and effectively influence stakeholders across all levels of the organization.
You balance innovation, governance, and risk to support responsible business outcomes.

What you need to know:

You will be subject to a Background check as a condition of employment, in the event you are the successful candidate.

What’s in it for you?

Training and development opportunities to grow your career.
Flexible work options and paid time off to support your personal and family needs.
A holistic approach to your well-being, with physical and mental health programs and a supportive workplace culture.
Paid volunteer days to give back to your community.
In addition to our competitive salary and incentive programs, eligible employees also benefit from a comprehensive total rewards package including group retirement savings plans, pension and benefits (e.g., health and wellness, dental, disability and life coverage), mental health support and an employee assistance program.

Salary information

Expected salary range $60,574.00 to $100,956.00 CAD.

Salary placement

The salary amount for the successful candidate is determined by Co-operators in its discretion and will vary depending on several criteria including but not limited to: local market conditions, geography and relevant job-related factors such as knowledge, skills, qualification, experience and education.

Incentive/Variable pay

Employees may also have the opportunity to participate in incentive programs and earn additional compensation tied to individual and/or business performance, or other business metrics.

Apply About employer

More about this job

Responsibilities

The specialist will lead the development and implementation of analytics governance frameworks, policies, and controls to ensure responsible use of AI and data. They will collaborate across business and technical teams to balance innovation with risk management while strengthening the organization's analytics maturity.

Requirements

Candidates must hold a bachelor's degree in a relevant field and possess at least 5 years of progressive experience in analytics or data governance. Strong knowledge of AI governance principles and experience with modern enterprise analytics platforms like Microsoft Fabric and Databricks are required.

Skills

Analytics governance
Data governance
Business intelligence
Risk management
Compliance
Microsoft Fabric
Databricks
Power BI
MicroStrategy
Azure Machine Learning
Generative AI
Metadata management
Python
Critical thinking
Problem-solving
Stakeholder management

Benefits

Training and development opportunities
Flexible work options
Paid time off
Physical and mental health programs
Paid volunteer days
Pension
Health and wellness benefits
Dental coverage
Disability coverage
Life coverage
Mental health support
Employee assistance program

Visa sponsorship

Not detected in the job text

Keywords

Business Intelligence
Analytics Governance
Data Governance
Risk Management
Compliance
Microsoft Fabric
Databricks
Power BI
MicroStrategy
Azure Machine Learning
Generative AI
Metadata Management
Python
CDMP
DCAM
DAMA
Financial Services
Insurance
Artificial Intelligence
Policy Development
Controls
Data Analytics
Information Management
Stakeholder Engagement
Cloud-based Analytics

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