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Head of Data - Finance
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ICT
💰 Salary Not shared
📊 Market A$18,333–A$29,166/mo (A$219,996–A$349,992/yr)
About the Company
Our flagship Sydney campus is uniquely Canva - an extension of our Surry Hills neighbourhood. It's a thoughtfully designed space with plenty of room to collaborate, focus, and connect. We trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals.
Responsibilities
- ● Leading a team of data scientists and analytics engineers embedded in Finance, setting the technical bar and the priorities
- ● Owning the metric governance framework and single source of truth for Canva's top-line performance metrics, for both operational finance and investor reporting
- ● Owning the data models, pipelines and metric definitions that power FP&A's forecasting and planning, including the feeds into Anaplan and board-level reporting
- ● Partnering with Accounting, Tax and Investor Relations to improve data quality and to make financial reporting faster, more automated and less manual
- ● Leading the evolution of Finance's data architecture - modelling standards, layer design and orchestration patterns in DBT and Snowflake
- ● Bringing 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 ready
- ● Acting as the technical and analytical partner to Finance leadership, with regular exposure to the CFO and her leadership team
Requirements
- ● You'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 reporting
- ● You 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 overhead
- ● You're equally comfortable writing code or building a model yourself, and presenting the story behind the numbers to a CFO
- ● You set a high technical bar while staying genuinely curious about the business problem underneath the data
- ● Financial modelling experience is a bonus but not required - what matters is understanding what forecasting and planning processes need from data, and making those inputs reliable and audit-ready
- ● You're a strong communicator, equally comfortable balancing technical detail with engineering teams and also presenting to senior leadership
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