DataOps & AI FinOps Lead

Job description

This is your opportunity to join AXIS Capital – a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture. As a member of AXIS, you join a team that is among the best in the industry. At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work. All qualified applicants will receive consideration for employment without regard to any protected characteristic, including age, color, disability, ethnicity, gender identity, marital status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any basis prohibited by the laws that govern its operations. About the Team At AXIS, predictable and well-governed cloud spend is essential to scaling our data and AI ambitions responsibly. As DataOps & AI FinOps Lead , you will bring cost-to-value visibility to our data and AI estate—giving leaders the insight they need to control compute spend, optimise cost-to-performance and keep consumption predictable. You will lead the FinOps practice across the AXIS Data Platform, Databricks, and AI workloads—partnering closely with Engineering, SRE, and Architecture to embed cost discipline into how we build, deploy, and operate. How does this role contribute to our collective success? This role is central to our mission to: Bring cost-to-value visibility to data and AI by automating consumption tracking, monitoring, and reporting—giving leaders confidence in where every compute dollar is spent. Optimise cost-to-performance across Databricks, the AXIS Data Platform, and AI workloads—ensuring our investments scale efficiently as ADP grows. Embed FinOps discipline into engineering and delivery practices through automation, release efficiency, and intentional performance management. You’ll sit within the Data Operations team, working closely with Engineering, SRE, Architecture, and Finance to ensure our data and AI compute costs remain transparent, controlled, and aligned with business value. What will you be doing in this role? FinOps Framework Ownership: Establish and own the FinOps framework across data and AI, including chargeback/showback models, budgeting, and forecasting practices. Consumption Reporting & Governance: Give requirements for dashboard development and reporting that provide leaders with clear visibility into compute consumption, cost trends, and optimisation opportunities. Cloud Cost Optimisation: Drive cost management and optimisation initiatives across Azure, Databricks, and AI services in alignment with enterprise FinOps practices. Cross-Functional Partnership: Collaborate with Engineering, SRE, Architecture, Finance, and BTS to embed cost-conscious decision-making into platform design and delivery. Cost Monitoring & Automation: Partner with Engineering to automate consumption tracking and cost monitoring across data and AI compute, with early-warning thresholds to prevent uncontrolled growth. AI Observability: Partner with BTS SRE to collaboratively design and operate a monitoring framework for deployed AI solutions—including model performance tracking, uptime, and token consumption—ensuring transparency and accountability for all production AI. Cost-to-Performance Tuning: Partner with Databricks development teams to optimise compute cost against performance as the AXIS Data Platform scales. Job Performance Optimisation: Drive automation and release efficiency to cut manual effort, reduce waste, and improve pipeline reliability—being intentional with processing performance. FinOps Framework Ownership: Establish and own the FinOps framework across data and AI, including chargeback/showback models, budgeting, and forecasting practices. Consumption Reporting & Governance: Give requirements for dashboard development and reporting that provide leaders with clear visibility into compute consumption, cost trends, and optimisation opportunities. Cloud Cost Optimisation: Drive cost management and optimisation initiatives across Azure, Databricks, and AI services in alignment with enterprise FinOps practices. Cross-Functional Partnership: Collaborate with Engineering, SRE, Architecture, Finance, and BTS to embed cost-conscious decision-making into platform design and delivery. You may also be asked to take on additional responsibilities aligned with the nature and scope of this role. Reporting Line This role reports to the Head of Data & AI Operations . About you: We encourage you to bring your own experience and expertise to the table, so while there are some qualifications and experiences, we need you to have, we are open to discussing how your individual knowledge might lend itself to fulfilling this role and help us achieve our goals. What we’re looking for from you: Proven experience in FinOps, cloud cost management, or platform finance roles, ideally within cloud-based environments and the (re)insurance or financial services industry. Strong hands-on expertise with Databricks , Azure , and FinOps tooling (e.g., Azure Cost Management, native Databricks cost monitoring, third-party FinOps platforms). Demonstrated experience designing and operating cost monitoring, chargeback/showback, and consumption forecasting frameworks. Familiarity with AI/ML workload economics, including token-based pricing models, GPU/compute consumption, and observability for AI solutions. Understanding of SRE principles and partnership with engineering teams to embed cost discipline. Experience driving automation and pipeline performance optimisation to reduce waste. Strong analytical skills with the ability to translate consumption data into actionable insights for senior leadership. Excellent communication and collaboration skills, with the ability to partner effectively across technical, finance, and business teams. Ability to drive operational excellence and continuous improvement in a fast-paced environment. Role factors: In this role, you will typically be required to: Be in the office 3 days per week What we offer: For this position, we currently expect to offer a base salary in the range of $90.000 to $120,000 CAD. Your salary offer will be based on an assessment of a variety of factors including your specific experience and work location. In addition, you will be offered competitive target incentive compensation, with awards based on overall corporate and individual performance. On top of this, you will be eligible for a comprehensive and competitive benefits package which includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid vacation, and much more. This posting is for an existing vacancy.