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About the Role

This role leads analytical framing, experimentation, business analysis, value realization, stakeholder engagement, and solution delivery support for AI-enabled business initiatives, helping teams turn complex or ambiguous opportunities into practical, measurable outcomes. The successful candidate combines strong analytical skills with business acumen, acts as a trusted analytics partner, and bridges technical and business stakeholders to help AI initiatives deliver practical, measurable value while supporting consistent and repeatable delivery practices.

Responsibilities

Lead the translation of complex or ambiguous business opportunities into clear AI use cases, analytical questions, success measures, and measurable outcomes that can be tested and evaluated.
Own practical analytical approaches, including experiments, pilots, measurement frameworks, reporting, and interpretation, to assess whether AI-enabled solutions are delivering value.
Build confidence in AI solutions by guiding data collection, validation, testing, quality assurance, and performance monitoring activities.
Partner with Data Engineers and Data Scientists to identify source-system data, manage it through the data lifecycle, and develop analytical products that support AI-enabled solutions.
Turn analytical findings, business context, and evaluation results into clear recommendations that influence stakeholder decisions about AI opportunities, adoption, prioritization, and next steps.
Support adoption and repeatable delivery by developing workshops, training, job-aides, measurement practices, and other materials that help teams understand and apply AI solutions effectively.

Requirements

Degree in Statistics, Mathematics, Analytics, Data Science, Economics, Business, Engineering, or an equivalent combination of education and experience.
5+ years of experience applying data, analytics, business analysis, or digital enablement practices to solve business problems and improve outcomes.
Experience translating business needs into analytical questions, success measures, requirements, and practical recommendations.
Experience designing or supporting experiments, pilots, performance measurement approaches, or value realization assessments.
Experience working with business stakeholders and technical partners to define requirements, interpret findings, and support implementation decisions.
Proficiency with analytics and reporting tools such as Power BI, SQL, or comparable platforms.
Working knowledge of data platforms, programming, or cloud-based analytics environments such as Azure, Databricks, Python, or comparable tools.
Experience working in Agile or iterative delivery environments.
Demonstrated ability to lead through influence, collaboration, and subject-matter credibility rather than formal authority.
Experience providing guidance, peer support, or informal coaching to analysts or multidisciplinary partners.
Strong stakeholder engagement, facilitation, and communication skills.
Ability to bridge technical and business audiences effectively.
Reliability Status Security Clearance required.

Skills

AI
Machine learning
Generative AI
Automation
Advanced analytics
AI governance
Responsible AI
Privacy
Data governance
Research methods
Measurement design
Evaluation methodologies
Benefits realization
Power BI
SQL
Azure
Databricks
Python

Work Type

Temporary
Full Time
Hybrid

Experience Level

Senior
5+ years

Education Level

Degree in Statistics, Mathematics, Analytics, Data Science, Economics, Business, Engineering, or an equivalent combination of education and experience.

Salary/Compensations

$80,400 - $130,400

Benefits

Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to $2,000 annually towards education reimbursement.
Health & Wellness: Flexible health and dental benefits, plus a $5,000 mental health benefit to support your well-being.
Time Off: In addition to regular vacation and personal days, we support community involvement with a volunteer day.
Financial Security: Company-matching pension plan, share ownership program and additional investment options.
Rewards and Recognition: Employee recognition programs, service milestone celebrations, employee discounts and more!
Emphasis on Community: Workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events.

About the Company

We’re united by a shared purpose: to improve the financial, physical and mental well-being of Canadians. Our company is trusted by 1 in 3 Canadians and contributes to the strength of communities across the country.
We’re looking for people who live our values everyday: we step up, we do the right thing, and we deliver – for our customers, communities and each other. Are you someone who always strives to do the right thing, who steps up for themselves and others, and who delivers with impact? Then we want to hear from you!

Equal Opportunity

We’re committed to removing barriers and ensuring equal access to employment. Applicants requiring reasonable accommodation during the application process may contact talentacquisitioncanada@canadalife.com. All information provided will be handled in accordance with applicable laws and Canada Life policies.