Head of Data - Finance

Join the team redefining how the world experiences design.Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte!Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point.Where and how you can work Our flagship office is in Sydney, Australia, but we've made our way from down under, to a hub in San Francisco, which is now home to our US operations. We offer flexibility in how and where you work. We trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals. What you’d be doing in this roleAs Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve.Data sits centrally within Canva's Engineering org, and we place senior data leaders inside the business groups that need us most. This role reports to the Global Head of Data Science, and places you inside Finance — partnering with FP&A, Accounting, Tax and Investor Relations — to lead the data science and analytics capability that Finance leadership, including our CFO, rely on to run the business.At the moment, this role is focused on:Leading a team of data scientists and analytics engineers embedded in Finance, setting the technical bar and the prioritiesOwning the metric governance framework and single source of truth for Canva's top-line performance metrics, for both operational finance and investor reportingOwning the data models, pipelines and metric definitions that power FP&A's forecasting and planning, including the feeds into Anaplan and board-level reportingPartnering with Accounting, Tax and Investor Relations to improve data quality (accuracy / completeness) with these teams and to make financial reporting faster, more automated and less manualLeading the evolution of Finance's data architecture — modelling standards, layer design and orchestration patterns in DBT and SnowflakeBringing AI and automation into Finance's processes in ways that are genuinely useful, and strategically partnering with Finance on the right Data architecture / foundations to be AI/AI-agent readyActing as the technical and analytical partner to Finance leadership, with regular exposure to the CFO and her leadership teamYou're probably a match ifYou've led distributed teams across timezones inside a Finance function before — somewhere that's been through the kind of scrutiny that comes with SOX compliance or public-company reportingYou think in systems: how data flows from source through pipelines and semantic layers to model and report, and you treat governance and controls as core engineering work, not overheadYou're equally comfortable writing code or building a model yourself, and presenting the story behind the numbers to a CFOYou set a high technical bar while staying genuinely curious about the bus...