Senior Manager, Data Science

• Lead strategic Data Science in our Corporate areas including Finance systems migration procurement AI initiatives
• Utilise your experience working with large and complex data sets
• Help build technical capability in our Corporate teams
• Permanent role based at Qantas Head Office Mascot.

At Qantas we represent Australia to the world. Our diverse country is known for its unique spirit mateship and a can-do attitude. Together were strong and resilient and we work hard to make sure were always at our best. 

Technology is a big part of how we continue to pioneer our way forward. With eyes on the future our data teams harness technology and AI on a global scale and tailor local solutions for each of our business units. Together well show you its possible to make an impact and to never underestimate what youre capable of achieving. 

The Senior Manager Data Science is a transformative leader guiding Qantas in maximising the strategic value of its rich data assets. This role will help set the direction for Qantas data-driven initiatives and ensure findings translate into impactful business outcomes that enhance customer experience improve our internal efficiency and drive our competitive advantage.

Leveraging technical and data analysis skills will be critical to share knowledge and influence peers and stakeholders across all levels of the organisations.  The Senior Manager Data Science will apply their deep expertise working with large complex datasets to extract insights and knowledge to solve complex problems to transform our business processes and make data-driven decisions.

Reporting directly to the Head of Data & Analytics the Senior Manager will be required to collaborate cross-functionally with stakeholders in our Finance People Procurement and Legal teams to identify opportunities develop solutions improve existing business processes and influence executive leaders decision making to drive commercially beneficial outcomes.

Responsibilities include:

• Becoming an expert in the disparate data that drives our business
• Using the knowledge you develop in our data to lead complex and strategically critical data and analytics projects in our finance team transformation
• Supporting our procurement teams in the deployment of AI systems that realise measurable savings from our existing supplier contracts and reimagine the way we think about procurement across the group
• Helping our people team develop reporting and insights on our staff
• Lead a high performing team to drive a data driven culture and foster a collaborative environment within the team.
• Champion the role and the value of Data Analytics & AI as a critical contributor to commercial outcomes.

Youll have: 

• At least 5-10 years experience as a leader in Data Science and/or Data Engineering roles
• Bachelors degree in applied Statistics Maths Physics Computer Science or a related analytical field
• Demonstrated technical experience working with large complex and diverse datasets
• Strong self-motivation proactive approach and ability to work autonomously
• Extensive experience utilising one or more relevant programming languages e.g. python R
• Experience working in large and complex environments
• Strong Teradata experience preferred
• Machine learning / AI experience would be advantageous
• Project management skills with the ability to lead complex data projects from start to finish
• Experience leading or supporting the implementation of data governance frameworks would be beneficial
• Financial Data systems (ERP EPM FP&A systems) experience would be advantageous
• Excellent communication and ability to work cross functionally
• Strategic thinking and planning skills
• Strong attention to detail

Why Qantas 

If youre successful in your application youll join a team where creativity and passion are encouraged. Our people come together to allow us to dream big and deliver successfully. 

There are many different opportunities across our team which means youll be able to grow both personally and professionally at Qantas. Your development is a priority for us so that you can maintain the high standards our customers have come to expect and can continue to develop over time. Youll be supported from day 1 with on the job training and coaching as well as our formal training opportunities. While you may start in this role weve got a great track record of supporting our people to take their career in so many different directions the destinations are endless. 

The Qantas employee benefits program offers amazing benefits that extend well beyond travel. 

• We love to travel:Enjoy discounted air travel within Australia and across the globe both for you and your family and friends as well as exclusive deals on accommodation and holidays. 
• We have flexible leave options:Make use of leave and flexible working opportunities including 18 weeks paid parental leave and additional purchased leave options. 
• Well give you access to thousands of rewards:Through our partnerships we can offer you discounts across shopping food and wine insurance health and wellbeing leisure and can also take advantage of our salary packaging for everything from motor vehicles to electronic devices. 
• Well support your wellbeing:Whether its learning to better support your own and others mental health our interactive wellbeing app or your very own tailored nutrition plan. 

Qantas is an equal opportunity employer committed to providing a working environment that embraces and values diversity and inclusion. By coming to work for us youll be part of an organisation that encourages diversity supports charities and environmental initiatives. We encourage Aboriginal and Torres Strait Islander and people of all backgrounds to apply. If you have any support or access requirements we encourage you to advise us at time of application. Your personal information will be kept confidential in compliance with relevant privacy legislation. 

Please note: applications will only be considered for candidates who have the right to work in Australia / New Zealand without restriction or sponsorship. 

Applications will close by Tuesday the 31st of March 2026

Remote Work :

No

Employment Type :

Full-time