Data Product Lead — Hybrid, High-Impact Analytics

Qantas Group; Sydney; Hybrid; AUD 150,000 - 210,000; Full time

Benefits offered by this job

Staff Travel Benefits from Day One

Hybrid working office available

Job summary

Qantas Group is seeking a Data Product Lead to own end-to-end data product lifecycles, from ideation to deployment, with a focus on value across finance, procurement, people and marketing domains. You’ll lead a cross-functional team, collaborate with data architects and engineers, and drive governance and data storytelling to power strategic decisions.

This permanent role is based at Mascot with hybrid working options.

Qualifications

• 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).
• 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.

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.

Skills

Data storytelling

Stakeholder engagement

Agile delivery

Mentoring teams

Cross-functional leadership

Data architecture

SQL/Data pipelines

Cloud data stacks

Education

Quantitative degree

Tools

Snowflake

Databricks

AWS

Azure

GCP

Job description

Qantas Group is seeking a Data Product Lead to own end-to-end data product lifecycles, from ideation to deployment, with a focus on value across finance, procurement, people and marketing domains. You’ll lead a cross-functional team, collaborate with data architects and engineers, and drive governance and data storytelling to power strategic decisions.

This permanent role is based at Mascot with hybrid working options.