Cloud & AI FinOps Analyst

- Pay Rate: $66.37/hour, depending on experience
- Contract End Date: Start Date 2026-11-30 End Date 2027-05-31 (6 Months)
- Location: Vancouver, British Columbia

Raise is currently hiring a Cloud & AI FinOps Analyst on behalf of our client. They’re expanding their team to meet growing needs, making this a unique opportunity to work with an industry leader. Our Client, is one of the largest electrical energy suppliers in Canada

Note: The primary pay rate is based on T4 classification; however, we will also consider applications from candidates interested in an INC classification, where applicable.

Description

The Cloud and AI FinOps Analyst in this role will support the Cloud FinOps Lead in shaping the financial governance, transparency, and operational efficiency of our cloud and artificial intelligence infrastructure. This role focuses primarily on our Microsoft Azure environment and AI-enabled services. You will analyze consumption trends, establish cost-allocation and showback/chargeback frameworks, and identify financial optimization opportunities across the enterprise. The ideal candidate blends robust financial modeling capabilities with deep technical exposure to modern cloud data architectures and generative AI token-based pricing models.

Responsibilities

- Cloud & AI Financial Governance
- Financial Modeling & Analytics: Build comprehensive financial models, dashboards, and reporting suites in Power BI and Microsoft Excel to deliver clear visibility into cloud consumption and AI expenditures.
- Cost Allocation & Showback/Chargeback: Design, implement, and maintain cost-allocation, showback, and chargeback models across business units for Azure resources and AI services.
- AI Consumption Management: Track and analyze usage metrics and token-based pricing structures for Azure OpenAI, Azure AI Foundry, Microsoft Copilot, Copilot Studio, and GitHub Copilot.
- Optimization & Efficiency: Identify spend anomalies, efficiency gains, rightsizing opportunities, and commitment-based discounts to continuously optimize 's cloud footprint.
- Technical Solutioning & Analytics Implementation
- Requirements & Design: Collaborate with functional and technical teams to gather business requirements, translate them into conceptual data models, and perform the integration, design, and implementation of reporting and analytical solutions.
- Architectural Alignment:



Develop sustainable reporting solutions following approved architectural directions and technical designs from solution/technical leads to ensure projects are delivered safely, with high quality, within budget, and on time.
- Specification Review: Review functional specification documents and present proposed technical designs to development leads for review, ensuring solutions align with enterprise business objectives.
- Performance & Data Quality: Apply performance tuning and data modeling techniques to ensure high-speed, reliable dashboards while maintaining strict data quality control standards.
- Operational Sustainment & Documentation
- Routine Sustainment: Perform operational sustainment activities, troubleshooting, and routine updates for reporting systems supporting project and sustainment teams across the organization.
- Documentation & Enablement: Create comprehensive process flows, technical solution documentation, job aids, and standard operating procedures (SOPs) to support end-users and internal stakeholders.
- Change Management: Adhere to ’s internal change management procedures, policies, and governance frameworks during operational updates and deployments.
- Status Reporting: Provide clear, timely progress updates and issue escalation to the team lead to ensure work units are structured and packaged according to standards.

Qualifications

- (5) years of consulting or enterprise experience in reporting, analytics, financial modeling, or equivalent.
- Analytics Tooling: Advanced proficiency in Microsoft Excel and Power BI (data models, dashboards, visual analytics, and performance tuning).
- Cloud Knowledge: Working knowledge of Microsoft Azure cloud architecture and core services.
- AI & Token Economics: Solid understanding of generative AI services and token-based consumption pricing structures.
- Core Competencies: Intermediate working knowledge of data/information architecture design and change management policies; exceptional attention to data quality; solid written and verbal communication skills in a professional environment.
- Preferred (Nice to Have)




- Hands-on experience with Azure Cost Management exports and the FinOps Open Cost and Usage Specification (FOCUS) standard.
- Practical experience working with cost/consumption data from Azure OpenAI, Azure AI Foundry, Microsoft Copilot, Copilot Studio, or GitHub Copilot.
- Proven track record designing enterprise-level cloud or AI cost-allocation, showback, or chargeback models.
- Education and Certifications
- Bachelor’s degree or technical diploma in Computer Science, Engineering, Business Analytics, Finance, or equivalent.
- Certifications: FinOps Certified Practitioner (FCP) or another recognized cloud financial management credential.

Additional Information

- Candidates located in the Lower Mainland preferred; open to remote candidates in BC and Alberta. Candidates must be able to work BC hours. Occasional onsite attendance at Dunsmuir is preferred, particularly for onboarding and training.
- Every contractor must supply their own Windows 11 Laptop computer for the duration of the assignment.
Every contractor must supply their own “Smart Phone”. This is needed to gain access to the Organizations network

Looking for meaningful work? We can help!

Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.

We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.

We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation: https://raise.jobs/accommodations/

In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or any other Raise job posting (or have any other questions), please contact us at +1 (phone hidden) or [email protected].

#WES

#LI-SC1

📌 Cloud & AI FinOps Analyst (Vancouver)
🏢 Raise
📍 Vancouver