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Performance Data Technical Lead


Performance Support, Queensland Academy of Sport, Sport and Recreation, Nathan

On 1 July 2025, the QAS transitioned to a Statutory Body, guided by our values and focused on developing fit-for-purpose governance and corporate arrangements that support our vision of Inspiring Extraordinary Sporting Success.

We are seeking talented, motivated individuals whose values and behaviours align with our team and culture. If you are passionate about high performance, committed to continuous improvement, and want to be part of something transformational, we invite you to join us on this exciting journey.

Job details

Position status Contract
Position type Full-time
Occupational group Sport & Recreation
Classification PO6
Workplace Location Brisbane - South
Job ad reference QLD/670336/25
Closing date 27-Nov-2025
Job duration until Feb 2029 with possibility of extension
Contact person Mark Young
Contact details Email: mark.young@sport.qld.gov.au
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The Queensland Academy of Sport (QAS) is on a bold journey towards Brisbane 2032 and beyond. Following the extraordinary success of Queensland athletes at the recent Olympic and Paralympic Games, we are now focused on delivering even more medal-winning moments through to Los Angeles 2028 and our home Games in 2032.

Our ambitious high-performance strategy for the 2032 Games is to create more medal-winning moments for Queensland athletes that inspire their state and nation. While our strategy guides our performance, our culture truly delivers it. Given our vision, our culture is vitally important to us.

The Performance Data Technical Lead will be responsible for overseeing the operations and delivery of the Performance Data team. This includes managing day-to-day activities, coordinating with key stakeholders, and ensuring that data systems and processes support the strategic needs of athletes and coaches. The Performance Data team works to provide a data-driven competitive advantage by collecting, interpreting, and leveraging data to generate actionable insights that create value across high-performance programs.

Some of your responsibilities will include: 
• Provide expert advice to QAS leadership, staff, coaches, athletes, and various system partners on data science approaches that support informed, high-quality decision-making. 
• Deliver high-impact analytics initiatives by identifying key performance challenges, co-designing data solutions with stakeholders, and aligning outputs to evolving needs in sport and business. 
• Evaluate and implement emerging analytics and AI technologies, balancing innovation with risk management to ensure sustainable adoption within high-performance environments. 
• Design and maintain systems and processes that support effective data capture, integration, and use across QAS programs and activities. 
• Ensure data quality, consistency, and accessibility to generate accurate, actionable insights that support strategic planning and program evaluation. 
• Establish and promote robust data governance policies, embedding ethical, secure, and compliant data practices across the organisation. 
• Build and strengthen partnerships with internal teams and external organisations to improve collaboration and uplift analytics capability across the system.

The Queensland Academy of Sport (QAS) is committed to the safety and wellbeing of our athletes.

We are committed to an environment where athletes from any background are heard, treated fairly and free from abuse.


Applications to remain current for 12 months

Further information

We are committed to building inclusive cultures in the Queensland public sector that respect and promote human rights and diversity.

Please ensure you download all attachments and follow the instructions on how to apply.

Documents

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Inclusion and diversity

We are committed to building inclusive cultures in the Queensland public sector that respect and promote human rights and diversity, including making any reasonable adjustments to support you through the recruitment process.

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Licence
Creative Commons Attribution 3.0 Australia (CC BY 3.0)
Last updated
2 May 2023

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