Manager, AI Financial Management

FinOps Weekly; Toronto; On-site; CAD 80,000 - 120,000; Full time

Benefits offered by this job

Annual bonus

Flexible vacation

Personal and sick days

Comprehensive benefits starting on the

first day

Professional development opportunities

Job summary

FinOps Weekly is seeking a Manager, AI Financial Management in Toronto to lead financial analysis, budgeting, and cost optimization for AI initiatives. You will work with Technology, Finance, and AI teams to validate assumptions, maintain data integrity, and deliver clear financial insights on AI spend.

The role emphasizes partnering with cross-functional teams, building dashboards, and driving governance of AI-related costs.

Qualifications

• University degree in finance, business, or a related field.
• 3–6 years of experience in financial analysis, planning, or reporting.
• Foundational understanding of cloud and/or technology cost drivers.
• Strong analytical and Excel/data skills.
• Strong attention to detail and ability to manage data accuracy.
• Effective communication and stakeholder collaboration skills.
• Eagerness to learn and grow in AI FinOps and technology finance.

Responsibilities

• Track and analyze AI spend across infrastructure, platforms, models, and data.
• Maintain and improve cost attribution models and reporting frameworks.
• Analyze cost drivers such as compute consumption, model utilization, and workload patterns.
• Support budgeting and forecasting with driver-based analysis, variance insights, and projections.
• Identify cost optimization opportunities and recommend actions.
• Build recurring dashboards, performance metrics, and financial insights for stakeholders.
• Partner with Technology and AI teams to validate operational drivers and financial assumptions.
• Maintain data integrity and consistency across financial reporting; resolve discrepancies and improve data quality.
• Support governance and control processes by applying financial policies and tracking adherence.
• Assist with vendor financial management, including cost tracking, invoice validation, and basic benchmarking.
• Build knowledge of AI/ML cost structures and FinOps practices to strengthen analysis and insight.

Skills

Financial analysis

Budgeting & forecasting

Data analysis

Excel / data skills

Stakeholder collaboration

AI FinOps exposure

Education

University degree in finance or business

Tools

Power BI

Apptio

Cloud cost tools

Excel

Job description

# Manager, AI Financial ManagementTorontoFinOpsNot Specified07/07/2026Full-timeOnsiteFavoriteAccess Job## Job Description# Manager, AI Financial Management\*\*Location:\*\* Toronto, Ontario, Canada## About the Role This role is responsible for financial analysis, reporting, and cost monitoring for AI-related spend. It supports transparency, budgeting, and optimization across AI initiatives by tracking cost drivers and producing clear financial insights.The position works closely with Technology, Finance, and AI teams to validate assumptions, maintain data integrity, and improve the quality of AI cost reporting. Its work helps support disciplined and efficient management of AI investment.## Key Responsibilities – Track and analyze AI spend across infrastructure, platforms, models, and data. – Maintain and improve cost attribution models and reporting frameworks. – Analyze cost drivers such as compute consumption, model utilization, and workload patterns. – Support budgeting and forecasting with driver-based analysis, variance insights, and projections. – Identify cost optimization opportunities and recommend actions. – Build recurring dashboards, performance metrics, and financial insights for stakeholders. – Partner with Technology and AI teams to validate operational drivers and financial assumptions. – Maintain data integrity and consistency across financial reporting; resolve discrepancies and improve data quality. – Support governance and control processes by applying financial policies and tracking adherence. – Assist with vendor financial management, including cost tracking, invoice validation, and basic benchmarking. – Build knowledge of AI/ML cost structures and FinOps practices to strengthen analysis and insight. – Communicate financial results clearly and escalate key risks or opportunities as needed.## Required Skills – University degree in finance, business, or a related field – 3–6 years of experience in financial analysis, planning, or reporting – Foundational understanding of cloud and/or technology cost drivers – Strong analytical and Excel/data skills – Strong attention to detail and ability to manage data accuracy – Effective communication and stakeholder collaboration skills – Eagerness to learn and grow in AI FinOps and technology finance## Preferred Skills – AI exposure – Experience with financial systems and reporting tools such as Power BI, Apptio, or cloud cost tools## Cloud Platforms & Technologies – \*\*AI / ML:\*\* AI, AI/ML – \*\*FinOps Platforms:\*\* Apptio, cloud cost tools – \*\*Reporting & BI:\*\* Excel, Power BI## FinOps Responsibilities – Track AI-related spend and identify key cost drivers. – Improve cost attribution and financial reporting frameworks. – Analyze efficiency opportunities across compute, models, and workloads. – Support budgeting, forecasting, and variance analysis for AI investments. – Monitor spend for optimization opportunities, including underutilized resources and inefficient usage patterns. – Deliver dashboards, metrics, and financial insights to support decision-making. – Support governance, policy adherence, and risk identification for AI spend. – Validate invoices, track vendor costs, and perform basic benchmarking.## Benefits – Annual bonus – Flexible vacation – Personal and sick days – Comprehensive benefits starting on the first day – Opportunities for professional development## Why You Might Be Interested This role offers direct exposure to AI spend analysis, budgeting, forecasting, and optimization work. It sits at the intersection of finance, technology, and AI, with regular collaboration across Technology, Finance, and AI teams. The position also provides hands-on experience with financial reporting, cost attribution, vendor tracking, and data quality improvement. For candidates interested in AI FinOps and technology finance, it offers a focused opportunity to build experience in these areas.