Cloud FinOps Manager

We are looking for a Manager, Cloud Fin Ops. 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 Fin Ops team members, Manager, Cloud Fin Ops 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 Fin Ops 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.

• 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 Fin Ops awareness and adoption through education, learning sessions, training and stakeholder engagement.
• Develop and mature Canada Life's AI Fin Ops practice, extending established Fin Ops 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 Fin Ops processes, measures and reporting, integrating them into the broader Cloud Fin Ops operating model as capabilities mature.

• 5+ years of experience in Fin Ops with focus on AI Fin Ops in a large, complex organization.
• Degree in Computer Science, Engineering, or equivalent Technology or Finance experience.
• Fin Ops Certified Practitioner certification, or willingness to obtain it, together with an interest in…