Data Platform Manager at Employment Hero

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

28 Apr, 26

Salary

0.0

Posted On

28 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Analytics Engineering, AI, Product Mindset, Communication, Team Leadership, Data Platform Strategy, Data Reliability, Performance Improvement, Proactive Enablement, Stakeholder Management, Technical Proposal Review, Mentoring, Fast-Growing Tech Experience, Hands-On Experience, Ambiguity Management

Industry

Human Resources Services

Description

Who we are Employment Hero is on a mission to make employment easier and more valuable for everyone. Our Employment Operating System brings hiring, HR, payroll and benefits into an all-in-one solution. Since our inception in 2014, we’ve scaled to a $2 billion valuation and gained a presence in 6 countries globally - Australia, New Zealand, Singapore, Malaysia, the UK and Canada. We now service over 350,000 businesses and more than 2 million employees. The EH Way At Employment Hero, we’re proud of our unique DNA, which we call The EH Way. We are Mission First - everything we do (from what we work on, to how we allocate capital and where we focus) is driven by our Mission We are Remote First - we champion a remote environment with a preference for asynchronous communication and a high degree of autonomy We are AI First - we are committed to using AI to accelerate our mission; AI is not just a tool, it’s a fundamental part of how we operate, innovate, and scale We are Apolitical - we do not take a position on political or social topics, unless it relates to our Mission We Live by Our Values - we role model our values 100% of the time We Expect High Performance - we set a high standard and we’re not satisfied with being average This role We’re looking for a Data Platform Manager to lead our Data Engineering and Analytics Engineering teams across Australia, Canada, and Vietnam. This is a great opportunity for a deeply technical leader who can own both strategy and delivery, critically review technical proposals, and personally contribute to building high-impact data and AI capabilities. A major focus of this role is delivering our AI-powered self-service analytics platform, treating it as a product: shipping quickly, measuring adoption, iterating, and operating comfortably with uncertainty. Your key focus areas will be Build and lead a high-performing Data and Analytics Engineering function operating effectively across three time zones, with clear ownership, pace, and accountability Design and evolve a scalable, resilient data platform that underpins trusted reporting, analytics, and AI use cases across the business Set and execute a clear data platform strategy and roadmap that aligns to business priorities and unlocks measurable value Enable AI-powered, self-service analytics so teams can answer their own questions quickly, confidently, and without bottlenecks Dramatically improve data reliability, performance, and trust, making data a dependable foundation for decision-making Reduce analytics backlog by improving tooling, data models, and ways of working, shifting the team from reactive delivery to proactive enablement Act as a strategic partner to Product, Engineering, Finance, Marketing, and Operations, translating business needs into durable data solutions Communicate progress, risks, and trade-offs clearly to senior stakeholders, enabling informed decisions and timely course-correction Create a culture of ownership, pragmatism, and delivery, where teams take responsibility for outcomes and ship meaningful improvements consistently Who you are To thrive at Employment Hero, you’ll need to embody The EH Way - operating with focus, agility, and an obsession with impact. For this role, you’ll also bring Proven experience leading Data Engineering and Analytics Engineering teams Strong hands-on background with modern data stacks Comfortable being hands-on while managing and mentoring senior engineers Product mindset: focused on outcomes, adoption, and impact Strong bias for action and comfort operating with ambiguity Excellent communicator in a distributed, cross-timezone environment Able to challenge ideas constructively and make pragmatic decisions Background working in fast-growing or product-led tech companies It would be an added bonus if you have Experience building or evaluating Text to SQL or AI-powered analytics tools Familiarity with AI-assisted development tools (e.g. Claude, OpenAI/Codex, GitHub Copilot) Experience scaling self-service analytics platforms What we can offer At Employment Hero, we don’t just talk about a better way to work - we live it. Joining Employment Hero means You will work remotely, with the flexibility to own your time and impact You will access cutting-edge tools to amplify your work, knowledge and outputs You’ll surround yourself with ambitious, outcome-driven colleagues who challenge you to do the best work of your life You’ll own ESOP (employee share options) in one of the world’s fastest-growing tech companies You’ll also have access to a wide range of benefits that includes - a very generous parental leave policy, subsidised egg freezing (so you can make the choice that’s right for you, on your terms), a WFH office expense budget, and outstanding learning & development opportunities Annual Global Gathering - so far we’ve been to Thailand, Vietnam, Bali, Dubai and are excited to meet in Gold Coast in Australia in September 2026 We’re AI-first, so you may meet some of our AI tools early in the process. They help us cut the noise, surface great talent fast and make sure every candidate gets a fair, consistent experience. We verify candidate identity and location as part of our hiring process. We are committed to safeguarding the privacy of your application data. To understand how we do so, you can read our Applicant Privacy Policy here employmenthero.com/legals/applicant-policy/ Employment Hero celebrates diverse perspectives and experiences, we invite people of all backgrounds and identities to apply for this position.

Responsibilities

Lead the Data Engineering and Analytics Engineering teams, focusing on delivering an AI-powered self-service analytics platform. Design and evolve a scalable data platform while ensuring high performance and reliability.