General Manager, Data Science
Xero is hiring a General Manager, Data Science in Melbourne, Australia. Level rates it ; you can apply on Xero.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Some of the work can be done remotely, according to the posting.
- The posting mentions OpenAI, Anthropic and JAX among its tools and skills.
- Xero has 117 other open roles on Level.
AI in this role
At Xero, we’re here to supercharge small businesses. By making small business more efficient every day, connecting them with big business technology and empowering a community behind them, their potential is limitless. When that happens, we’re not only helping small business, we’ll be building a stronger economy that can change the world.At Xero, we’re here to supercharge small businesses. By making small business more efficient every day, connecting them with big business technology and empowering a community behind them, their potential is limitless. When that happens, we’re not only helping small business, we’ll be building a stronger economy that can change the world.
The Role & Team
Product Data Science & Engineering is a portfolio team within Product & Technology. Partnering across Product, Engineering, Design, Marketing, and Commercial leadership, we set Xero’s data science strategy across broad product areas and operate in an AI-native way—using AI to transform how we work, not just what we ship.
The team co-own Xero's metrics stack, experimentation strategy, and enterprise data architecture and builds AI-powered customer experiences including the Jax chatbot and agentic workflows—in partnership with Anthropic, OpenAI, and Google. They also lead AI measurement and productionisation. We work in an AI-native way. That means AI changes how data science itself gets done here, not just what we ship.
This is a new strategic leadership role created to scale Xero's data science and AI capabilities. You will take full ownership of the data science, analytics, ML, and AI strategy and execution across Accounting & Bookkeeping, Small Business, and AI products.
This role combines strategic product vision (including Jax, agentic workflows, and AI-powered features) with platform thinking across the metrics stack, experimentation, data quality, and governance, driving enterprise-level impact across every product team.
What you’ll do
You will translate company-level objectives into strategic sub-objectives across analytics, ML, AI products, and experimentation, elevating both the quality of decisions and the leverage Xero gains from its data and AI investments.
Lead, mentor, and grow a team of data scientists, analytics engineers, ML engineers, and managers, scaling the function from ~12 to ~30.
Design team structures and operating models that preserve high throughput across multiple locations and time zones.
Operate as an AI-native leader, driving how AI changes how data science operates and ships value across Xero.
Act as the primary data partner to Product & Technology, advising C-suite and SLT 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, prioritisation 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 to raise the bar across Xero.
Proactively identify delivery and strategic risks, designing robust organizational processes that yield consistent, high-quality outcomes for Xero.
What you’ll bring with you
We welcome candidates from analyst, scientist, engineer, or AI/ML-focused backgrounds—a linear data science career is not required. What matters most is that you have operated, shipped, and led at scale within a fast-paced technology environment. As a self-starter and executive partner, you will shape and lead strategic agendas alongside C-suite and senior leadership, driving throughput across multi-location, global teams. You excel at bringing structure to complex cross-functional challenges, managing ambiguity, and maintaining a strong "Xero-first" mindset focused on delivering strategic value and accountable execution.
Ability to act as a proactive self-starter and executive partner, shaping strategic agendas with C-suite and SLT, presenting to board-level leadership, and influencing key investment decisions.
Proven ability to manage ambiguity, bring structure to complex cross-functional challenges, sustain throughput across multi-timezone teams, and hold stakeholders accountable to a "Xero-first" standard.
Skilled in leading managers, coaching leaders into senior roles, developing high-performing teams, and constructively escalating strategic risks when necessary.
Experienced in navigating teams through significant scale-ups, operating model transformations, and continuous evolution in fast-paced environments.
Practical experience leveraging frontier-model platforms (e.g., Anthropic, OpenAI, Google) to build agentic workflows, chatbots, and AI-powered products, as well as transforming team operating models using AI workflows.
Substantial experience leading data science, ML, or analytics functions, with a proven track record of managing other people leaders across multi-team structures.
Extensive experience building and running enterprise-scale data science functions, AI/ML productionisation, AI governance, model risk frameworks, and experimentation integrity.
Deep technical fluency across applied ML, analytics engineering, instrumentation, eventing, and schema governance, with a strong engineering mindset focused on building scalable platforms and reusable architectures.
Prior exposure to SaaS or small business segments, with a track record of driving scale, data quality, and privacy compliance.
Technical bachelor's or master's degree (PhDs welcome for applied, high-impact organizational challenges), supported by public thought leadership or open-source contributions in data or AI.
Where and how you can work
This role is based in Sydney or Melbourne with a flexible hybrid working setup, spending 1 to 2 days per week in the local office to connect and collaborate.
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
How we rate this
General Manager, Data Science at Xero rates 72 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used OpenAI in your day-to-day work.
- What are the limits of Anthropic that you've run into, and how did you work around them?
- What's a project where you used JAX hands-on?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: AI agents, OpenAI, Anthropic, and JAX. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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