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About the Role

Great opportunity to progress your Data Product career and add significant value to Technology, AI & Transformation for the Qantas Group! This role involves owning the full product lifecycle of data products, partnering with stakeholders to define visions and roadmaps, and translating complex concepts into scalable data products. You will lead and mentor a cross-functional team, work with vendors, and use data storytelling to drive actionable recommendations.

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.

Requirements

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 drives business value.
Experience preferred with Finance, Procurement, People OR Marketing / Commercial teams in large scale and complex enterprise environments.

Skills

Data Product Management
Data Architecture
Data Engineering
Data Science
AI/ML
Software Development
Cloud Data Stacks (Snowflake, Databricks, AWS, Azure, GCP)
Agile Delivery
Stakeholder Engagement
Data Storytelling
Data Warehousing
Data Modelling
Data Governance

Location

Mascot office

Work Type

Hybrid working
Permanent
Full time

Experience Level

5+ years’ experience

Education Level

Tertiary qualifications in applied statistics, mathematics, computer science, data science, econometrics, engineering or a related quantitative field

Benefits

Staff Travel Benefits from Day One
Heavily discounted air travel within Australia and across the globe, both for you and your family and friends
Exclusive deals on accommodation and holidays
Flexible leave options
18 weeks paid parental leave (plus superannuation payments on all paid and unpaid parental leave until your child turns 1)
Additional purchased leave options for eligible employees
Discounts across shopping, food and wine, insurance, health and wellbeing, leisure and entertainment
Salary packaging program including motor vehicles, eligible portable electronic devices and professional memberships
Support for wellbeing, including mental health resources and a wellbeing app
Tailored nutrition plan

About the Company

Founded in the Queensland outback in 1920, Qantas has grown to be Australia’s largest regional, domestic, and international airline.
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.

Equal Opportunity

Qantas is an Equal Opportunity Employer, so by coming to work for us, you’ll be part of an organisation that encourages diversity, supports charities and environmental initiatives.
We encourage Aboriginal and Torres Strait Islander – and people from every other kind of background – to apply.
We are committed to creating an inclusive workplace.
Talk to us about how this job could be flexible for you.