Job Description

Enterprise data and analytics strategy

• Lead the development and execution of the enterprise data and analytics strategy aligned to business and DD&AI priorities.
• Define a clear roadmap covering data governance, data management, analytics capability and data accessibility.
• Ensure the strategy balances foundational uplift with delivery of business value.
• Provide enterprise direction on how data and analytics will support improved decision-making and performance.

Data Quality, Capability and Availability

• Support the evolution of enterprise data platforms and architecture (e.g. cloud data platforms such as Snowflake) to enable scalable, secure, and high-performing data environments
• Drive the development of modern data engineering, data management, and analytics capabilities
• Ensure data assets are accessible, well-managed, and aligned to business needs
• Ensure critical data is accessible, well-structured and fit for operational, analytical and regulatory use.
• Support the development of enterprise data models and standards to enable reuse and consistency.
• Partner with technology to ensure data platforms support scalable and secure access to data.
• Improve the quality, consistency and reliability of enterprise data assets.

Analytics, Insights & AI Enablement

• Build and lead enterprise analytics and insight capabilities, enabling data-driven decision making across the organisation
• Partner with business units to identify and prioritise high-value analytics and AI use cases and prioritise opportunities where high-quality data can unlock value while working closely with AI, Digital and Technology teams
• Enable the effective use of advanced analytics, AI and machine learning models, ensuring strong governance across their lifecycle
• Deliver insights that improve customer experience, growth, and operational efficiency
• Ensure data is structured, governed and accessible in a way that enables industry leading AI and advanced analytics solutions
• Provide guidance on data readiness, feasibility and dependencies for AI initiatives.
• Ensure appropriate governance is in place around data inputs into AI models, including quality, bias and traceability.

Business Partnership & Value Delivery

• Partner with senior stakeholders across CBW, IBB, PSM, Technology and other functions to align data and analytics priorities to business outcomes
• Align enterprise data efforts to key business outcomes such as growth, efficiency, customer experience and risk management.
• Translate business needs into data and analytics solutions and roadmaps
• Ensure delivery is prioritised and sequenced based on enterprise value.
• Drive measurable outcomes including customer experience uplift, revenue growth, productivity gains, and risk reduction
• Provide clear and pragmatic advice to executives on data-related decisions, trade-offs and risks.

Leadership & Capability Development

• Build, lead and develop a high-performing enterprise data and analytics function
• Attract and retain critical capabilities to support Westpac NZ’s data ambition
• Drive a data-led culture across the organisation, lifting data literacy and adoption
• Define and evolve the operating model to balance enterprise standards with business alignment.
• Work closely with Digital, Technology and AI teams to ensure clarity of roles, responsibilities and interfaces.
• Lead through influence across a complex, matrixed environment.

Risk, Compliance & Governance, Ownership and control

• Establish and maintain strong enterprise data governance frameworks including ownership, stewardship, quality and lifecycle management.
• Strengthen the data control environment across the full data lifecycle, ensuring alignment to regulatory and risk requirements.
• Embed clear accountability for data across business and functional units.
• Improve transparency of data lineage, definitions and usage across the organisation.

• Embed strong risk management and control frameworks across data and analytics activities
• Ensure effective governance of AI/ML models, including model risk management and regulatory compliance
• Work closely with Risk, Legal and Compliance to ensure alignment with Westpac’s risk appetite and regulatory obligations

Stakeholder & External Engagement

• Provide trusted advice to executives and senior leaders on data and analytics opportunities, risks and trade-offs
• Manage key vendor and partner relationships to optimise performance, innovation and cost
• Engage with regulators and external stakeholders on data and analytics matters as required
• Partner with Westpac Group and external stakeholders on data standards and frameworks where required.

Skills, Experience, Qualification

• Significant leadership experience in building high performing teams across data, analytics, engineering, governance and risk capabilities within a complex enterprise environment
• Proven track record of supporting delivery of enterprise data platforms, analytics solutions at scale
• Strong understanding of data governance, data management frameworks, and regulatory requirements
• Experience leading advanced analytics initiatives, including model governance and responsible AI practices
• Deep knowledge of modern data architecture and cloud platforms (e.g., Snowflake, AWS, Azure, GCP)
• Demonstrated ability to influence senior stakeholders and translate strategy into execution
• Experience leading large, cross-functional transformation enterprise wide programmes
• Strong commercial mindset with the ability to connect data initiatives to business value.
• Experience operating in a regulated environment is highly desirable.
• Strong communication and influencing capability at executive level.

Capabilities

• Strategic mindset with strong business and customer focus
• Ability to translate complex data concepts into clear business outcomes
• Strong leadership and people development capability
• Excellent stakeholder engagement and communication skills
• Drives innovation and continuous improvement
• Builds strong risk and governance discipline
• Collaborates effectively across business, technology and data domains

Ko mātou tēnei | Our Organisation
At Westpac, we’re working together to build a fairer and stronger New Zealand for our people, customers, and communities. For over 160 years we’ve been driven by our purpose to Create Better Futures Together.

What makes us unique are the incredible people we’re lucky enough to have walk through our doors every day. The giant ‘W’ on our building doesn’t just stand for Westpac – it says, double you. We’re a place that values, rewards and recognises individuality. Where you can be your whole self, your true self, and your best self. We’re recognised as a place where talent is developed, where passions are fuelled and where ambitions of all shapes and sizes thrive. And it all starts with you!

Tono mai ināianei! | Apply Now!

Apply today with your CV and Cover Letter.

The people of Aotearoa, New Zealand hail from many cultures and backgrounds. At Westpac New Zealand, we draw on this enormous talent pool to cultivate a team rich in ability and empowered to reach its full potential. Our aim is to be brave challengers, celebrating our differences and relentlessly advocating for our customers. It starts with us – we believe that when we care deeply and do our best for our people, they’ll do their best for our customers. We encourage people from all walks of life to apply, including those who are neurodiverse, have chronic health conditions or disabilities – your attitude and passion are as important to us as your experience, qualifications and capabilities.

Mahi tahi tātou, kaha ake tātou | Together Greater

Applications close:

14 August 2026