Data & Ai Platform Engineering Leader

Tennis Australia Limited; Melbourne; On-site; AUD 150,000 - 200,000; Full time

Benefits offered by this job

Tickets to Australian Open

Superbox tickets to events

Health & wellbeing activities

Onsite gym

Salary packaging & discounts

Parental leave up to 26 weeks

Workplace recognition (WORK180)

Job summary

Tennis Australia Limited is seeking an Engineering Manager, Data & AI to lead the development, operation and evolution of enterprise data and AI platforms. You will drive a long-term platform roadmap, ensure security and reliability, and build a high-performing engineering team.

You will work with the Head of Data Analytics & Insights to deliver scalable data solutions, governance, and modern engineering practices across the organisation.

Qualifications

• 8+ years in Data/Platform/Cloud or Software Eng environments.
• Proven experience leading and developing engineering teams.
• Experience building and operating enterprise-scale data platforms.
• Experience developing roadmaps and modernisation initiatives.
• Experience embedding governance, security and operational controls.

Responsibilities

• Develop Platform Strategy & Roadmap and own Data & AI roadmap.
• Lead and optimise enterprise Data & AI platforms for reliability and security.
• Embed governance, security, and data quality into platforms.
• Build and grow a high-performing engineering team and set standards.

Skills

Data engineering

Platform engineering

Cloud engineering

Leadership

Education

Bachelor's degree in technology/CS/engineering

Tools

Azure

Databricks

Job description

At Tennis Australia, we’re creating a more playful world through tennis – for everyone.

From grassroots to Grand Slams, tennis brings people together, inspires communities, and builds champions on and off the court.

We’re a team of imaginative and passionate people who believe in the power of sport to make a difference. If you're ready to help us serve up real impact, we’d love to hear from you.

We’re committed to reflecting the communities we work and play in. We strongly encourage applications from women, Aboriginal and Torres Strait Islander peoples, LGBTQI+ individuals, people with disability, and people from culturally diverse backgrounds.

About the Role

The Engineering Manager, Data & AI is responsible for leading the engineering capabilities that underpin Tennis Australia's Data & AI strategy. This role leads the development, operation and continuous evolution of enterprise data and AI platforms, ensuring the organisation has secure, scalable and trusted capabilities to accelerate analytics, AI adoption and data-driven decision making.

Working closely with the Head of Data Analytics & Insights, AI Enablement Lead, the Engineering Manager will establish and execute a long-term platform roadmap, deliver operational excellence across data and AI services, and build the engineering capabilities required to support Tennis Australia's future ambitions.

The role will champion modern engineering practices, platform governance and enterprise data management while developing a high-performing engineering team focused on reliability, innovation and continuous improvement.

The successful candidate will:

• Develop and execute a platform roadmap that accelerates delivery of data products, analytics capabilities and AI solutions.
• Establish a trusted, secure and scalable enterprise data platform that supports current and future organisational needs.
• Build the foundations of an enterprise data model that improves consistency, accessibility and reusability of data across Tennis Australia.
• Deliver high levels of platform reliability, operational maturity and service performance across data and AI platforms.
• Embed governance, security and quality controls into platform capabilities and engineering practices.
• Build and lead a high-performing engineering team with strong technical capability, accountability and a culture of continuous improvement.

In this role, you will:

1. Develop Platform Strategy & Roadmap

• Own Tennis Australia’s Data & AI roadmap and strategy.
• Define and evolve enterprise data, analytics, and AI architecture.
• Balance investment, capability uplift, operational needs, and technical debt.
• Drive platform innovation to simplify, scale, and accelerate delivery.

2. Platform Engineering & Operations

• Lead and optimise enterprise Data & AI platforms.
• Ensure platform reliability, security and scalability.
• Drive operational excellence through monitoring and support.
• Increase automation and reduce manual effort through reusable services.

  3. Data, AI & Governance Enablement

  • Embed governance, security, and data quality into platforms.
  • Enable trusted data and AI through strong controls and monitoring.
  • Scale responsible AI solutions across the organisation.

  4. Engineering Leadership & Capability Development

  • Lead and grow the Data & AI Engineering team.
  • Set engineering standards and ways of working.
  • Coach engineers and build leadership capability.
  • Drive accountability, innovation, and future capability growth.

  Essential Experience

  • 8+ years' experience in Data Engineering, Platform Engineering, Cloud Engineering or Software Engineering environments.
  • Proven experience leading and developing engineering teams.
  • Demonstrated experience building and operating enterprise-scale data platforms.
  • Experience developing platform roadmaps and executing technology modernisation initiatives.
  • Experience embedding governance, security and operational controls into engineering delivery.

  Highly Regarded

  • Strong experience with modern cloud data platforms (Azure, Databricks or equivalent).
  • Experience with data architecture, enterprise data modelling and governance frameworks.
  • Understanding of DevOps, DataOps, MLOps and operational support models.
  • Experience designing scalable, secure and resilient platform solutions.
  • Strong problem solving, communication and technical leadership capabilities.
  • Ability to translate strategic objectives into practical engineering outcomes.

  Qualifications

  • Bachelor’s degree in technology, Computer Science, Engineering or a related discipline.
  • Relevant cloud or platform certifications highly regarded (e.g. Azure, Databricks).

  What’s to love?

  • Career development with a range of formal education and on the job training opportunities
  • Tickets to the Australian Open plus Superbox tickets to events at Rod Laver & John Cain Arena
  • Monthly health & wellbeing activities with access to CorePlus Pilates
  • Onsite gym, tennis facilities & free onsite car parking
  • Salary packaging & a range of discounts from our sponsorship partners
  • Attractive leave benefits - with up to 26 weeks of paid parental leave for all primary caregivers and Sorry Business and Ceremonial Leave for Aboriginal and Torres Strait Islander employees
  • We are proud to be recognised as an employer of choice for women by WORK180
  Applications close onthe 16th of October;however, we will be reviewing applications as they are received, therefore this role may close sooner if we find the right candidate.

  Tennis Australia is committed to providing a safe environment for all tennis participants, including children and young people. It is essential everyone involved with delivering tennis in Australia understands their responsibility in relation to child-safety.

  We believe playing makes life better and we are always on the lookout to talented people to join our team and help us create a playful world through tennis.

  Even if we are not currently advertising the position that you are looking for today, we may be tomorrow. There are a number of ways that you can keep up-to-date with new opportunities as they happen.

  We encourage you to create a profile and register for our job alerts, as well as follow Tennis Australia on LinkedIn to stay up to date on the latest news and opportunities.

  If you need assistance or adjustments to fully participate in the application process, please contact [e-mail].