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Xero

Cloud-based accounting software for small businesses

General Manager - Data Science

Data ScienceConfirmed live in the last 24 hours
Full-timeMelbourne VIC, AustraliaNo salary listed

About the Job

Requirements

  • Ability to shape strategic agendas with C-suite and senior leadership, present to board-level leadership, and influence investment decisions.
  • Ability to manage ambiguity, structure complex cross-functional challenges, sustain throughput across multi-timezone teams, and hold stakeholders accountable.
  • Experience leading managers, coaching leaders into senior roles, and developing high-performing teams.
  • Experience navigating teams through significant scale-ups, operating model transformations, and continuous evolution in fast-paced environments.
  • Practical experience using frontier-model platforms such as Anthropic, OpenAI, or Google to build agentic workflows, chatbots, and AI-powered products, and transforming team operating models using AI workflows.
  • Substantial experience leading data science, machine learning, or analytics functions, including managing people leaders across multi-team structures.
  • Extensive experience building and running enterprise-scale data science functions, AI/machine learning productionization, AI governance, model risk frameworks, and experimentation integrity.
  • Technical fluency across applied machine learning, analytics engineering, instrumentation, eventing, and schema governance, with an engineering mindset focused on scalable platforms and reusable architectures.
  • Prior exposure to SaaS or small business segments, with experience driving scale, data quality, and privacy compliance.
  • A technical bachelor's or master's degree; PhDs are welcome for applied, high-impact organizational challenges. Public thought leadership or open-source contributions in data or AI are also sought.

Responsibilities

  • Translate company-level objectives into strategic sub-objectives across analytics, machine learning, AI products, and experimentation to improve decision quality and leverage data and AI investments.
  • Lead, mentor, and grow a team of data scientists, analytics engineers, machine learning engineers, and managers, scaling the function from approximately 12 to 30 people.
  • Design team structures and operating models that preserve high throughput across multiple locations and time zones.
  • Drive how AI changes data science operations and delivery of value across Xero.
  • Serve as the primary data partner to Product & Technology, advising C-suite and senior leadership on data utilization, retention strategy, new data domains, and AI investment decisions.
  • Represent data science in executive forums and partner with Product, Engineering, Design, Marketing, Commercial, Legal, Privacy, and Risk on strategy, prioritization, and governance.
  • Own AI governance, model risk, data quality, privacy posture, and experimentation integrity across the portfolio, ensuring company-wide compliance and integrity.
  • Drive behavioral, technical, and cultural standards across the vertical; own and improve global hiring practices, build talent maps, and coach senior leaders and individual contributors.
  • Identify delivery and strategic risks and design organizational processes to produce consistent, high-quality outcomes.

About the Company

Xero

Cloud-based accounting software for small businesses

Summary for Xero: cloud-based accounting software for small businesses that streamlines financial management, invoicing, payroll, and reporting. It operates on a subscription model with different pricing tiers and offers extensive integrations via the Xero App Store and a developer platform to build more connections. Its differentiators include a broad ecosystem of third-party apps, developer support, and 24/7 online help through Xero Central, all designed to be user-friendly for non-experts. The goal is to provide a reliable, easy-to-use financial solution that helps small businesses manage their finances efficiently.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Wellington, New Zealand
Founded
2006

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