Senior Analyst, AI Enablement & Analytics (12 Month Contract)

Canada Life Group; Winnipeg; On-site; CAD 80,000 - 130,000; Full time

Benefits offered by this job

Career development

Health & Wellness benefits

Time off and volunteer day

Pension and investment options

Rewards and recognition

Employee ERGs and mentorship

Job summary

Canada Life is seeking a Senior Analyst for AI Enablement & Analytics (12 Month Contract) in Winnipeg. The role focuses on translating business opportunities into AI use cases, designing experiments, and delivering measurable value through data-driven insights.

You will partner with data engineers/scientists to build analytical products and guide adoption of AI solutions. The position requires a degree in a quantitative field and 5+ years of analytics experience, with strong Power BI/SQL skills

Qualifications

• Degree or equivalent in a quantitative field (Statistics, Mathematics, Analytics, Data Science, Economics, Business, Engineering).
• 5+ years applying data analytics or digital enablement to improve outcomes.
• Ability to translate business needs into analytical questions and actionable recommendations.
• Experience designing experiments, pilots, or performance measurement approaches.
• Experience collaborating with stakeholders and technical partners to define requirements.
• Proficiency with analytics/reporting tools (Power BI, SQL) and data platforms/cloud environments (Azure, Databricks, Python).
• Experience in Agile or iterative delivery environments.
• Ability to influence through collaboration and credibility rather than authority.
• Security clearance requirement: Reliability Status (Canada Life pays checks).

Responsibilities

• Lead translation of complex opportunities into AI-use cases and measurable outcomes.
• Own analytical approaches, including experiments and reporting, to test AI value.
• Guide data collection, validation, testing, and monitoring of AI solutions.
• Collaborate with Data Engineers and Data Scientists to source and manage data for analytical products.
• Turn findings into clear recommendations to influence decisions about AI opportunities and adoption.
• Develop workshops, training materials, and measurement practices to improve adoption of AI solutions.

Skills

Data analytics

Stakeholder engagement

Leadership

Agile experience

Communication

Education

Degree in Statistics/Mathematics/Analytics/Data Science/Economics/Engineering

Tools

Power BI

SQL

Python

Azure

Databricks

Job description

Senior Analyst, AI Enablement & Analytics (12 Month Contract)

Description: Temporary Full Time

What you will do :

• Lead the translation of complex or ambiguousbusiness opportunities into clear AI use cases, analytical questions,success measures,and measurable outcomes that can be tested and evaluated.
• Ownpractical analytical approaches, including experiments, pilots, measurement frameworks, reporting, and interpretation, to assess whether AI-enabled solutions are delivering value.
• Build confidence in AI solutions byguidingdata collection, validation, testing, quality assurance, and performance monitoring activities.
• Partner with Data Engineers and Data Scientists toidentifysource-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 thatinfluence stakeholderdecisions about AI opportunities, adoption,prioritization,and next steps.
• Support adoptionand repeatable deliveryby developing workshops, training, job-aides,measurement practices,and other materials that help teams understand and apply AI solutions effectively.

What you will bring:

• 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.
• Proficiencywith 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 – this can only be completed with candidates who receive an offer of employment. This is a personal security status that is required as a condition of employment before an employee can gain access to Protected B information, assets or work sites as outlined by the Government of Canada website. The cost ofsubmittingthese checks will be covered by Canada Life.

Preferred:

• Experience supporting AI, machine learning, generative AI, automation, or advanced analytics initiatives.
• Exposure to AI governance, responsible AI, privacy, or data governance practices.
• Experience supporting proof-of-concepts, pilots, or adoption activities for emerging technology solutions.
• Strong foundationin research methods, measurement design, evaluation methodologies, or benefits realization.

The base salary for this position is between $80,400- $130,400 annually. This represents base salary only and does not represent other variable compensation components of our total compensation ( i.e. annual bonus, commission etc). If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you.

Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis.

Grow with Canada Life

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!

What we offer:

• Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to$2,000 annuallytowardseducation 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 onCommunity: We provide a workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events.

Learn moreabout Canada Life .

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

Canada Life would like to thank all applicants, however only those who qualify for an interview will be contacted.

Location: Winnipeg, MB, CA London, ON, CA Toronto, ON, CA