Senior Product Owner - Data Modernisation (Sydney or Melbourne)

Westpac Group; Sydney; Hybrid; AUD 190,000 - 240,000; Full time

Benefits offered by this job

Exclusive banking product offers

Flexible work arrangements

Learning & development opportunities

Volunteer opportunities

Job summary

Westpac Group is seeking a Senior Product Owner for Data Modernisation to lead the Data Modernisation Squad in Sydney or Melbourne. You will own the roadmap, backlog and adoption of reusable engineering capabilities across the enterprise, including the ADAPT platform, Azure, UWF and AI-enabled tooling.

You will collaborate with engineers to simplify data product design, testing, deployment and support, while driving standardised patterns and self-service capabilities.

Qualifications

• Proven experience as a Product Manager or Product Owner leading complex data platforms and modernisation initiatives within large-scale enterprises.

Responsibilities

• Own the vision, roadmap and backlog for Data Delivery Modernisation.
• Lead delivery of reusable frameworks, standards and engineering accelerators.
• Drive adoption of Azure-based engineering frameworks and enterprise integration capabilities.
• Support migration from legacy technologies including Teradata and legacy batch platforms.
• Champion AI-assisted engineering through AMP, GitHub Copilot and engineering agents.
• Define success measures and track adoption across engineering capabilities.

Skills

Product ownership

Data platform

Roadmaps & backlog

Stakeholder engagement

Agile & Scrum

AI enablement

Cloud data platforms

Enterprise data governance

Engineering collaboration

Measurement & analytics

Tools

Azure

ADAPT platform

Teradata modernisation

GitHub Copilot

UWF

Job description

Senior Product Owner - Data Modernisation (Sydney or Melbourne)

Melbourne, VIC, Australia

Trending

Job Description

• Sydney or Melbourne / Hybrid Working

The Opportunity

Lead the Data Modernisation Squad responsible for building, modernising and continuously improving the enterprise data engineering ecosystem.

The role owns the roadmap, backlog and adoption of reusable engineering capabilities including the ADAPT platform, Azure, UWF, Teradata modernisation, batch and integration frameworks, AI agents, AMP, GitHub Copilot (GHC), automation tooling and self-service engineering capabilities.

The Product Owner works closely with engineers to simplify how data products and pipelines are designed, built, tested, deployed and supported across the enterprise.

Role Focus

• Own the vision, roadmap and backlog for Data Delivery Modernisation.
• Lead delivery of reusable frameworks, standards, templates and engineering accelerators.
• Drive adoption of ADAPT, Azure-based engineering frameworks and enterprise integration capabilities.
• Support migration and modernisation initiatives from legacy technologies including Teradata and legacy batch platforms.
• Champion AI-assisted engineering through AMP, GitHub Copilot and engineering agents.
• Continuously improve the engineering experience by reducing complexity and manual effort.
• Ensure engineers have the tools, frameworks and patterns required to deliver consistently and efficiently.

Key Accountabilities

• Drive adoption and continuous improvement of the ADAPT platform.
• Lead development and rollout of Azure UWF engineering frameworks and reusable patterns.
• Support Teradata simplification, migration and modernisation initiatives.
• Define and maintain reusable data engineering frameworks.
• Drive standardised pipeline patterns, templates and development accelerators.
• Improve batch processing and integration frameworks across the enterprise.
• Increase self-service capabilities available to engineering teams.
• Reduce manual engineering effort through automation and reusable components.
• Drive adoption of AMP, GitHub Copilot and AI-enabled engineering tools.
• Identify opportunities to leverage AI agents for pipeline generation, testing, documentation and engineering support.
• Improve engineering productivity through intelligent automation and modern tooling.
• Ensure AI capabilities deliver measurable outcomes for engineering teams.
• Manage the modernisation backlog and prioritise initiatives based on business and engineering value.
• Partner with engineers, architects and delivery teams to understand needs and pain points.
• Define success measures and track adoption across engineering capabilities.
• Ensure capability investments deliver tangible productivity and quality improvements.
• Gather feedback from engineering teams and maintain an improvement roadmap.
• Measure usage, adoption and benefits of engineering capabilities.
• Drive simplification and removal of unnecessary complexity.
• Promote a culture of innovation, standardisation and continuous improvement.
• Proven experience as a Product Manager or Product Owner leading complex data platform, data modernisation, cloud data, analytics, or AI-enabled products within large-scale enterprise environments.
• Demonstrated success defining and executing product strategies that transform legacy data ecosystems into modern, scalable, secure, and reusable data platforms.
• Strong experience managing product backlogs, prioritisation frameworks, roadmaps, and squad outcomes across Agile and Scrum delivery teams, ensuring alignment to business value and strategic objectives.
• Deep understanding of modern data capabilities including data engineering, cloud data platforms, data governance, analytics, reporting, artificial intelligence, and machine learning enablement.
• Proven ability to work across a complex stakeholder landscape, partnering with business leaders, technology teams, architects, risk, compliance, security, and data governance functions to drive successful outcomes.
• Strong commercial and analytical mindset with the ability to make evidence-based product decisions, balancing customer needs, regulatory requirements, technical constraints, and organisational priorities.
• Experience translating strategic outcomes into epics, features, user stories, acceptance criteria, and measurable product success metrics.
• Strong understanding of data privacy, risk management, security, and regulatory considerations relevant to banking and financial services environments.
• Exceptional stakeholder engagement, communication, and influencing skills, with the ability to build alignment across senior executives, delivery teams, and technical specialists.
• Demonstrated capability leading cross-functional teams through ambiguity, driving product adoption, organisational change, and continuous improvement.
• Strong knowledge of Agile, Scrum, and product-led delivery practices, with a focus on iterative value delivery and customer-centric outcomes.

We are obsessed with becoming our customers' #1 banking partner for life, and we are looking for people who are passionate about helping us achieve that goal. In return, we are committed to making Westpac the best place to work in the country.

Here are just a few of the ways we are already doing that:

• Exclusive offers on banking products and discounts from top brands, including generous employee-only mortgage rates!
• Flexible work arrangements to help you achieve a greater work/life balance, and a variety of leave options including Culture, Lifestyle and Wellbeing leave.
• Tailored learning and development opportunities to help grow your career within the bank.
• Lots of opportunities to ‘give back’ to the Community by getting involved in our volunteering initiatives.

Create your future today!

We are all about creating a supportive and inclusive community. We welcome everyone – no matter your age, gender, background, or abilities. We also provide additional support to welcome our veterans, Indigenous Australians, and neurodiverse community.

If you need any adjustments during the recruitment process, you can find out more information and additional contact details by visiting the People with Disability and/or needing Accessibility Requirements page via our website .