Head of Analytics (12 Month Fix-Term)

Mable sits within the Attain Healthtech Group, a collection of healthtech entities focused on real-world care improvements. They’re united by a purpose: use technology to drive lasting, positive change across care and support, help customers achieve better outcomes, and rely on data to guide decisions. The Head of Analytics role is a 12-month fixed-term position based in Sydney with a hybrid work arrangement, tailored for someone who wants to shape analytics strategy at scale and deliver measurable business results. The company describes its team as high-productivity and dynamic, aimed at meaningful impact in Australia’s care and support sectors.

Mable is one of Australia's leading healthtech platforms, connecting thousands of people with disability and older Australians to independent support workers on terms that suit them. Since 2014, more than 25 million hours of support have been facilitated, and the company has earned recognitions such as a place on AFR's Top 100 and Deloitte Tech Fast 50, among other honours. By joining Mable, you’ll be part of a purpose-driven team environment that prioritises real outcomes for the sector.

In this role, you will set the direction for analytics across the business, partnering with the executive team on strategy, and leading a team of eight managers and analysts. You’ll ensure dashboards, models and analyses produce clear, measurable commercial results and maintain strong relationships with stakeholders to keep analytics central to decision-making. You’ll also steer data governance, risk and the governance of AI usage, guiding how insights inform care decisions affecting thousands of Australians.

Steering analytics for a healthtech leader

Day-to-day you’ll shape the analytics roadmap to match the company’s priorities, collaborating with the executive team and senior leaders to tackle the toughest questions with data. You’ll represent data at the executive level, translating context for your team and anticipating stakeholder needs so analytics can influence decisions rather than just report on them. You’ll lead analytics teams that support every part of Mable and work closely with product leadership so analytics is embedded in how squads plan and build. You’ll identify opportunities to lift revenue or reduce costs and measure the outcomes, while delivering dashboards, models and tools that teams across the business rely on. You’ll prioritise competing requests, flag delays early and fix problems when delivery slips, and you’ll push for best practices across the data platform. You’ll also guide how AI is used to speed analysis, automate reporting and broaden access to insights within the governance framework, and you’ll coach your team with regular feedback and clear development conversations. Sharing knowledge and mentoring colleagues across the wider data function will also be part of your remit.

What we’re looking for in the right candidate

• Have at least eight years of experience using data to inform decisions, including three or more years leading analytics teams.
• Show evidence that your analyses have shifted executive decisions and delivered measurable revenue gains or cost reductions.
• Demonstrate comfort working with executives and the ability to resolve competing priorities without escalation.
• Be curious with the judgement to turn loosely defined problems into precise questions and actionable answers.
• Explain complex analyses in plain language to people without a technical background.
• Offer advice beyond pure data work to help move decisions forward with confidence.
• Have a track record of coaching others, giving candid feedback and hiring well.
• Show sound judgement on data governance, privacy and risk, ideally in a regulated environment.
• Bring practical experience using AI in analytics and a clear view of where it adds value, where it falls short and how to govern its use.
• Have sufficient SQL and Tableau (or equivalent) skills to guide and review your team’s work.
• Experience in health, care, marketplaces or fast-growing tech firms is useful but not essential.

• Experience in health or care sectors, marketplaces, or fast-growing technology firms would be a helpful bonus.

Compensation, benefits and the hybrid setup

The role sits in a hybrid workplace, combining time in the office with remote work to fit the needs of the team and the work. You’ll have access to a range of benefits designed to support your career and personal life, including a program that helps you grow under industry leaders and experienced mentors. Parental leave is part of the package, with 14 weeks paid leave for primary carers and 6 weeks paid leave for secondary carers, plus superannuation. Flexibility is baked in with hybrid setup, and you’ll also get Flexi Leave Days, one extra paid leave day per quarter for experiences that matter to you, and the option to take a floating public holiday to recognise important days on your calendar. A Reward and Recognition program is in place to celebrate notable performance, and the organisation stresses its commitment to diversity, welcoming people from a range of backgrounds and life circumstances. Aboriginal and Torres Strait Islander people are encouraged to apply.

Specific salary details aren’t listed in the description, but the focus is on a meaningful, impactful leadership role in analytics within a healthtech environment.

Tips to position yourself for the role

Start your resume with a concise snapshot of eight-plus years’ data-driven work and your track record of leading multiple analytics teams. Lead with a genuinely strong example where your analysis shaped an executive decision and delivered measurable revenue or cost improvements.

In interviews, be prepared to discuss how you manage competing priorities with executives and how you keep analytics front and centre in strategic decision-making. Bring concrete stories about governance and privacy decisions you’ve navigated, ideally in regulated settings, and illustrate how you govern AI use in practice.

Show your leadership style by describing how you coach team members through regular one-on-one conversations, give candid feedback, and help people grow. Have a clear view of how you would mentor across the wider data function and share knowledge beyond your immediate team.

If you’re asked about your approach to analytics in product or platform work, share examples of how you’ve partnered with product leaders to embed data into planning and development, and discuss what you would ask or measure to demonstrate the impact of analytics on business outcomes.