Founded in the Queensland outback in 1920, Qantas has grown to be Australia’s largest regional, domestic, and international airline. Qantas has a range of subsidiary businesses that support the overall operations of the Group. The Qantas Group’s main business is the transportation of customers and freight using two complementary airline brands — Qantas and Jetstar — operating regional, domestic, and international services. Great opportunity to progress your Data Product career and add significant value to Technology, AI & Transformation for the Qantas Group Permanent prospect based at our Mascot office (hybrid working office available) Staff Travel Benefits from Day One As a

Data Product Lead , you’ll take ownership of the full product lifecycle of data products from ideation, development and testing through to deployment, ongoing support and continuous improvement. Partnering closely with business stakeholders, you’ll bring the art of the possible to life by defining product visions, prioritising roadmaps, translating complex business and data concepts into scalable, high-value and reusable data products that empower internal operations and external customer experiences. You’ll lead and mentor a high-performing cross-functional team, work closely with vendors, and use data storytelling to turn insights into clear, actionable recommendations. With a strong mix of technical expertise, stakeholder engagement, agile delivery, modern data architecture and governance capability, you’ll play a key role in navigating complex business and technical landscapes to deliver analytics products that make a real impact. We are recruiting multiple Data Product Lead roles, each aligned to a business domain. Possible teams include Finance, Procurement, People and Marketing / Commercial.



You’ll be initially aligned to one domain, with growth potential across our broader technology and transformation initiatives.

Key Responsibilities

Lead the design, development and continuous improvement of scalable data and analytics solutions that deliver measurable business value. Ensure data solutions are reliable, secure, high performing and aligned to business requirements from concept through to deployment. Own the end-to-end data product lifecycle, including requirements definition, user stories, prioritisation, roadmaps and delivery planning. Define what each product guarantees its consumers, including grain, definitions, refresh frequency and service levels, and hold the product to it Lead, coach and mentor a high-performing cross-functional team, setting clear expectations and supporting capability development. Drive strong data governance, privacy, security, compliance and quality standards across data solutions and delivery practices. Translate complex data outputs into clear business insights and recommendations for senior leaders and stakeholders. Manage stakeholder relationships, vendor partnerships, budgets and commercial outcomes to support successful delivery and ongoing optimisation. Define the long-term vision, strategy and prioritised roadmap for your domain’s data products. Partner with data architects, engineers, scientists and business stakeholders to deliver seamless data and analytics solutions.



Define key performance indicators to measure the adoption, performance and business value of launched data products. You’ll have:

Tertiary qualifications in applied statistics, mathematics, computer science, data science, econometrics, engineering or a related quantitative field 5+ years’ experience in data science, data management or product management, with a strong focus on data platforms, data engineering, data science, AI/ML or software development Strong understanding of data architecture, reusable datasets, schemas, ETL pipelines and modern cloud data stacks (e.g. Snowflake, Databricks, AWS, Azure, GCP). A positive, pragmatic and resilient mindset, with the ability to work collaboratively, champion new ways of working Experience leading data and analytics solution delivery in commercial environments, with a strong focus on customer outcomes and clear communication. Strong understanding of Agile delivery, with the ability to lead cross-functional teams through iterative development cycles. Excellent stakeholder engagement and influencing skills, with confidence communicating across all levels of the organisation. Proven ability to lead, inspire, mentor and develop high-performing teams in collaborative environments. Broad capability across data engineering, data visualisation and analytics practices, with deep technical expertise in at least one specialist area. Ability to use data storytelling to bring insights to life and demonstrate the art of the possible for business stakeholders. Solid understanding of data warehousing, data modelling and data governance principles. Commercial acumen, strong problem-solving skills and attention to detail, with a clear understanding of how data driv

📌 Data Product Lead (Sydney)
🏢 Qantas Group
📍 Sydney