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The Canada Life Assurance Company

Cloud FinOps Manager

Toronto, ON, Canada

The base salary for this position is between $130,000 - $155,000 annually.

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Job details

Pay: The base salary for this position is between $130,000 - $155,000 annually.
Apply by: Nov 18, 2026
Experience: 5+ years of experience in FinOps with focus on AI FinOps in a large, complex organization.
Posting language: English
Posted: Nov 3, 2026

Original job description

Permanent Full Time

Manager, Cloud FinOps

We are looking for a Manager, Cloud FinOps. This is a single-contributor / individual-contributor role with no direct people-management responsibilities, with a mandate to provide leadership through subject-matter expertise, influence, governance and cross-functional collaboration.

Working alongside the FinOps team members, Manager, Cloud FinOps will be responsible for overseeing cloud financial operations, ensuring efficient financial management, optimizing cost-management strategies and driving financial performance. The role works closely with Finance, Operations, Engineering, Application and Technology teams to develop and implement financial processes that support Canada Life's growth and profitability goals.

As Canada Life's adoption of AI continues to grow, the role will also help establish and mature our AI FinOps capabilities, developing and managing the practices required for AI cost transparency, attribution and optimisation while supporting both the strategic and tactical financial management of our growing Cloud AI estate.

What you will do:

Cloud FinOps & Financial Management:

Monitor and analyse cloud financial data to identify trends, risks and opportunities across Canada Life's Azure, AWS and GCP environments, and champion the operational optimization of cloud spend.
Oversee cloud cost-management and optimization activities to drive efficient utilization of cloud resources.
Drive the implementation and monitoring of contractual cloud commitments and partner/project credits, including reporting and projections of consumption and commitment burn-down.
Support cloud consumers and Finance with budgeting, forecasting and financial modelling.
Implement and manage cost-allocation and chargeback/show-back models, supporting accurate billing, equitable recovery and financial transparency.
Develop and maintain cloud cost-management policies and controls supporting appropriate financial and operational governance.
Produce recurring and ad-hoc reporting and dashboards covering cloud consumption, financial performance, optimisation opportunities and commitment performance.
Evaluate and maintain tooling, automation and savings mechanisms supporting cloud cost management, monitoring and optimisation.
Partner with Procurement on multi-cloud Marketplace activity and opportunities to maximise commercial value, pricing and terms associated with cloud consumption.
Champion FinOps awareness and adoption through education, learning sessions, training and stakeholder engagement.

AI FinOps & AI Financial Governance:

Develop and mature Canada Life's AI FinOps practice, extending established FinOps principles and financial disciplines to Cloud AI and AI-enabled services.
Establish AI cost transparency, providing stakeholders with clear visibility into AI consumption and its associated financial drivers across the AI technology stack.
Develop structured AI cost-attribution practices, enabling AI spend to be associated with appropriate applications, products, business units, cost centres, owners and consumers and supporting future chargeback/show-back requirements. Canada Life's current AI reporting direction explicitly calls for structured attribution and expansion beyond token/model spend.
Develop AI cost-optimization capabilities, identifying opportunities to improve the financial efficiency of AI workloads and services while balancing cost, performance and business requirements.
Support forecasting, budgeting and financial planning for Cloud AI consumption, improving predictability as AI adoption and utilisation scale.
Develop financial reporting for AI and Tokenomics, evolving visibility beyond token and model spend toward a broader view of the AI technology stack, including SaaS AI components.
Partner with AI, Engineering, Finance, Procurement and business stakeholders to establish appropriate accountability and financial governance around AI consumption.
Support strategic AI investment decisions with financial insights, while also driving the tactical practices needed to monitor, allocate, forecast and optimise day-to-day AI consumption.
Develop and continuously improve AI FinOps processes, measures and reporting, integrating them into the broader Cloud FinOps operating model as capabilities mature.

What you'll bring:

5+ years of experience in FinOps with focus on AI FinOps in a large, complex organization.
Degree in Computer Science, Engineering, or equivalent Technology or Finance experience.
FinOps Certified Practitioner certification, or willingness to obtain it, together with an interest in representing Canada Life within the broader FinOps community.
Experience with at least two major public cloud provider, including Azure, AWS or GCP, and a desire to continue developing multi-cloud expertise.
Experience with cloud cost-management and optimization platforms such as Cloudability, Turbonomic or comparable tools.
Strong understanding of financial management principles, including budgeting, forecasting and cost management.
Strong knowledge of cloud billing and utilization, cost-allocation and chargeback models, and invoicing processes.
Ability to establish collaborative relationships across Technology, Engineering, Finance, Procurement and business functions.
Ability to translate complex technical and financial information into actionable insights for both technology and business audiences.
Knowledge of cloud infrastructure and modern cloud technologies in complex enterprise environments.
Understanding of emerging AI consumption and cost-management concepts, with an ability to develop financial-management practices as AI platforms, commercial models and usage patterns evolve.
Comfort working with ambiguity and challenging established processes to improve efficiency, transparency and financial accountability.
A passion for FinOps culture, automation, modern tooling and the emerging discipline of FinOps for AI.

The base salary for this position is between $130,000 - $155,000 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:

We’re committed to supporting our employees through every stage of their career. Here’s what you can expect as a full-time or part-time permanent team member:

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: We provide a workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events.

Learn more about Canada Life.

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.

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

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More about this job

Responsibilities

The Cloud FinOps Manager will oversee cloud financial operations, cost-management strategies, and financial performance across Azure, AWS, and GCP environments. Additionally, the role will establish and mature AI FinOps capabilities to ensure cost transparency, attribution, and optimization for AI-enabled services.

Requirements

Candidates must have 5+ years of experience in FinOps with a focus on AI, along with a degree in Computer Science, Engineering, or a related field. Proficiency in cloud cost-management tools and strong financial management principles are essential for this role.

Skills

FinOps
AI FinOps
Cloud Financial Management
Azure
AWS
GCP
Cost Optimization
Budgeting
Forecasting
Financial Modeling
Chargeback models
Cloudability
Turbonomic
Data Analysis
Stakeholder Engagement

Benefits

Health benefits
Dental benefits
Mental health benefit
Pension plan
Share ownership program
Education reimbursement
Volunteer day
Employee recognition programs
Employee discounts

Visa sponsorship

Not detected in the job text

Keywords

FinOps
AI FinOps
Cloud Computing
Azure
AWS
GCP
Cost Management
Financial Governance
Budgeting
Forecasting
Cloudability
Turbonomic
Tokenomics
Chargeback
Show-back
Procurement
Automation
Data Analysis
Multi-cloud
Financial Modeling
Infrastructure
SaaS
AI
Technology Stack
Financial Transparency
Optimization
Reporting
Dashboards
Contractual Commitments
Strategic Investment

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