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About the Role

This role is part of a key strategic mission to empower REA with great technology, including a market-leading data platform and data management capability. Working at the intersection of business, data management, product and technology, you will partner with data domain owners, data product owners and Data Business Partners to understand business needs, shape valuable data products and establish repeatable ways of working.

Responsibilities

Lead product discovery and strategic initiatives that help REA adopt data-as-a-product thinking and realise greater value from its federated data operating model.
Work closely with the Head of Data, Engineering Manager and squad members to build and maintain a long-term roadmap.
Identify and prioritise the highest-value opportunities, design effective discovery approaches, and translate strategic data priorities into practical initiatives.
Work with business stakeholders, data domain owners and data product owners to understand their goals and pain points, and help them define data products that are valuable, discoverable, trustworthy, reusable and fit for purpose.
Manage a clear portfolio of data product use cases and opportunities across the enterprise, ensuring that ideas are assessed, prioritised and connected to strategic outcomes, business value and delivery capacity.
Lead discovery and problem definition for initiatives spanning federated data governance, data domain model and ownership, data-as-a-product practices, data product lifecycle management, value realisation and measurement.
Define and roll out consistent data product discovery approaches, workshops and methodologies.
Build reusable templates, playbooks and paved paths that make it easier for teams to identify opportunities, define data products, clarify ownership, establish lifecycle expectations and progress from discovery to delivery.
Develop and maintain a long-term, outcome-driven roadmap for the Data Mesh Enablement squad, aligned to REA’s data strategy, business priorities and OKRs.
Partner with Data Management, Data Business Partners, data domains and delivery teams to support the rollout and adoption of new practices.
Establish effective engagement forums and feedback loops, create shared clarity across diverse stakeholder groups, and communicate complex data concepts in a way that supports informed decisions and sustained adoption.

Requirements

At least five years’ experience in Product Management or Product Development, with experience owning complex products, platforms, portfolios or strategic initiatives.
A strong understanding of data-as-a-product thinking, including the importance of clear use cases, ownership, discoverability, quality, trust, lifecycle management and measurable value.
Experience working closely with data engineers, software engineers, data management, analytics or technology teams, and the ability to understand technical concepts well enough to shape pragmatic product outcomes.
Proven ability to lead discovery in complex environments, frame ambiguous problems, design effective workshops, synthesise diverse perspectives and translate user needs into clear product opportunities and outcomes.
Ability to connect market, organisational and stakeholder insights to an appropriate strategic approach, then carry that strategy through prioritisation, delivery, adoption and benefit realisation.
Strong analytical skills and experience using evidence, feedback and measures to prioritise opportunities, track performance and demonstrate value.
Excellent communication, storytelling and influencing skills, with the ability to work effectively with business stakeholders, data practitioners, engineers, product teams and senior leaders.
A track record of helping teams adopt new products, practices or ways of working, supported by clear engagement approaches, feedback loops and continuous improvement.
The ability to consider the whole-business context, manage risk, understand trade-offs and recommend approaches that are practical, sustainable and aligned to organisational goals.
A constructive, curious and outcomes-focused approach, with the confidence to lead strategic initiatives through influence rather than formal authority.

Skills

Product management
Product discovery
Stakeholder leadership
Data products
Data management
Data Mesh
Data-as-a-product thinking
Federated data operating model
Data governance
Data domain model
Data product lifecycle management
Data engineering
Software engineering
Analytics
Facilitation
Strategic thinking
Execution
Prioritisation
Communication
Storytelling
Influencing
Change management
Commercial judgement
Organisational judgement
Collaborative leadership

Location

Melbourne
Sydney

Work Type

Permanent
Hybrid
Flexible

Experience Level

Senior
At least five years’ experience in Product Management or Product Development

Benefits

Hybrid and flexible approach to working
Flexible leave options including birthday leave and purchase additional leave
Flexible parental leave offering for primary and secondary carers
Because We Care program offers employees volunteering leave, community grants, matched payroll giving and our Community Café donates 100% of revenue to charity
Hackdays

About the Company

REA Group is changing the way the world experiences property.
Our people are the key to our success. At the heart of everything we do, is a thriving culture centred around high performance and care.
We are purpose driven and collaborative, which drives innovation and our ability to make a real impact.
Proud to have been named one of Australia’s Best Workplaces four times since 2021 — including third place in 2025 — plus Best Workplace for Women in 2023 and Best Workplace in Technology in 2024 and 2025.
Launchpad, part of REA’s Global Technology group, has a mission to empower REA with great technology, including a market-leading data platform.
Our strategic ambition is to be the leader in data intelligence, powering world-class products and experiences.
We provide the REA data platform that supports all REAs data processing, management and sharing; including data processing and enrichment, storage, discoverability, insights and governance.
Improving the quality, access and usage of our data for staff, consumers and customers.
Building reusable data products that unlock the value of our data.
Investing in the reliability, quality and security of systems and data.

Equal Opportunity

We are committed to providing a working environment that embraces and values diversity, equity and inclusion.
We believe teams with diverse ideas and experiences are more creative, more eﬀective and fuel disruptive thinking.
If you've got the skills, dedication and enthusiasm to learn but don't necessarily meet every single point on the job description, please still get in touch.