AI FinOps Product Owner
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- 5+ years of experience in Business Intelligence, Data Analytics, Financial Analysis, Technology Reporting, FinOps, or a related discipline.
- Posting language
- English
- Posted
Original job description
Hybrid: 4 days onsite, 1 remote.
Type: Contract-to-Hire
Overview
As our client continues to expand enterprise AI capabilities, the AI Platform organization is building a new function focused on AI Financial Operations (FinOps), and business intelligence. This role sits at the intersection of Technology, Finance, and Product, helping the organization understand AI adoption, spending, utilization, and business value across the enterprise.
The successful candidate will develop reporting, dashboards, and financial insights that provide transparency into AI investments while helping leadership make informed decisions around budgeting, optimization, governance, and return on investment. This individual will work closely with AI platform owners to translate complex technical and financial data into meaningful business stories that drive action.
Responsibilities
Type: Contract-to-Hire
Overview
As our client continues to expand enterprise AI capabilities, the AI Platform organization is building a new function focused on AI Financial Operations (FinOps), and business intelligence. This role sits at the intersection of Technology, Finance, and Product, helping the organization understand AI adoption, spending, utilization, and business value across the enterprise.
The successful candidate will develop reporting, dashboards, and financial insights that provide transparency into AI investments while helping leadership make informed decisions around budgeting, optimization, governance, and return on investment. This individual will work closely with AI platform owners to translate complex technical and financial data into meaningful business stories that drive action.
Responsibilities
- Develop executive dashboards and reporting that provide visibility into AI platform adoption, utilization, spending, and business value.
- Consolidate and analyze data from multiple sources to create a unified view of AI investments across the enterprise.
- Partner with AI Platform Engineering, Finance, Product, and Technology teams to support AI budgeting, forecasting, and cost transparency.
- Analyze AI consumption trends, including token usage, API consumption, licensing, cloud costs, and overall platform utilization.
- Help define and evolve AI governance metrics, KPIs, and reporting standards as the organization's AI capabilities mature.
- Identify opportunities to optimize AI spending and improve operational efficiency across AI platforms.
- Translate complex financial and technical information into executive-level reporting and business insights.
- Support the development of AI chargeback/showback models and unit economics across business units.
- Present findings and recommendations to senior technology and business leadership.
- Continuously evaluate new reporting requirements as additional AI platforms and vendors are introduced.
- 5+ years of experience in Business Intelligence, Data Analytics, Financial Analysis, Technology Reporting, FinOps, or a related discipline.
- Strong experience designing dashboards using Power BI, Tableau, or similar visualization platforms.
- Advanced SQL skills with experience working across multiple enterprise data sources.
- Experience with Excel and financial reporting.
- Strong analytical and problem-solving skills with the ability to interpret large, complex datasets.
- Excellent communication and presentation skills with the ability to explain technical concepts to both technical and non-technical audiences.
- Experience working cross-functionally with Technology, Finance, Product, and business stakeholders.
- Experience supporting AI, Cloud, FinOps, or Digital Transformation initiatives.
- Understanding of token-based consumption models, API usage, cloud cost reporting, and AI financial governance.
- Experience with Databricks, Azure Data Factory, SQL databases, Power BI, and enterprise reporting pipelines.
- Experience supporting cloud financial management, chargeback/showback models, or technology cost optimization.
- Experience in financial services or another highly regulated environment.
More about this job
Responsibilities
Develop dashboards and reporting that provide enterprise visibility into AI adoption, utilization, spending, and business value, consolidating data from multiple sources. Partner with technology, finance, and product teams to support budgeting, governance, cost optimization, chargeback/showback models, and executive decision-making.
Requirements
Requires 5+ years of experience in business intelligence, analytics, financial analysis, technology reporting, FinOps, or a related field, along with strong dashboarding, advanced SQL, and Excel skills. Candidates should be analytical communicators with cross-functional experience; AI, cloud FinOps, Databricks, Azure Data Factory, and regulated-industry experience are preferred.
Skills
- Business Intelligence
- Data Analytics
- Financial Analysis
- FinOps
- Dashboard Design
- Power BI
- Tableau
- SQL
- Excel
- Financial Reporting
- Data Consolidation
- AI Cost Analysis
- Budgeting and Forecasting
- Executive Reporting
- Cross-Functional Collaboration
- Chargeback and Showback Models
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Finance & Accounting
- Technology
- Management & Leadership
Keywords
- AI Financial Operations
- FinOps
- Business Intelligence
- Data Analytics
- Financial Analysis
- Power BI
- Tableau
- SQL
- Excel
- Databricks
- Azure Data Factory
- AI Platform
- Token Usage
- API Consumption
- Cloud Costs
- Platform Utilization
- Financial Reporting
- Executive Dashboards
- Budgeting
- Forecasting
- AI Governance
- KPIs
- Cost Optimization
- Chargeback
- Showback
- Unit Economics
- Enterprise Reporting Pipelines
- Digital Transformation
- Financial Services
- Return on Investment