Head of Data Practice

Join Us as Head of Data Practice

Whats the role

The Head of Data Practice is accountable for leading Westpacs Group data and analytics culture and practice embedding dataled decisionmaking responsible usage and clear accountability across all Divisions. The role drives a stepchange in how data analytics and AI are understood trusted and used building futureready enterprise capability through literacy citizen development and advanced craft uplift.

As custodian of the Groups data and analytics practice the role sets the standards frameworks patterns and maturity measures that ensure consistency control and sustainable value from data and analytics investments while enabling safe scalable adoption across the organisation.

Key Responsibilities:

Data & Analytics Culture and Leadership

• Define and lead the Groupwide data and analytics culture strategy embedding dataled decisionmaking responsible usage and accountability into business planning operating rhythms and executive decision forums.
• Act as a visible enterprise leader and advocate for dataled behaviours fostering trust adoption and value creation across Westpac.

Workforce Capability & Practice Governance

• Define and execute the Group Strategic Workforce Plan for Data & Analytics including:
• Future capability and skills forecasting
• Graduate and earlycareer pipelines
• Recruitment standards and role clarity
• Performance progression and succession planning
• Own and evolve the enterprise data and analytics practice including standards frameworks patterns maturity measures and quality expectations governing how data analytics and AI are delivered.

Enterprise Governance & Enablement

• Establish and lead enterprise governance forums for data analytics and AI to drive alignment prioritisation and consistent decisionmaking across Divisions and Functions.
• Enable safe scalable adoption of data analytics and AI through selfservice automation and reuse improving speed to insight and timetovalue within approved guardrails.
• Provide expert oversight challenge and escalation for material or highrisk analytics and AI use cases.

Capability Uplift & Community Leadership

• Drive enterprisewide capability uplift including data and analytics literacy citizen development and advanced analytics and AI skill development.
• Provide leadership for the data and analytics community establishing clear career pathways role standards and capability expectations that lift engagement inclusion and diversity.

Enterprise Assets & Value Realisation

• Own the consolidation and governance of enterprise data and analytics assets ensuring reuse consistency quality and scalability across platforms and business units.
• Ensure sustained business value from data analytics and AI investments through strong cultural adoption and consistent execution.

Key Outcomes

• Measurable uplift in data literacy and dataled decisionmaking behaviours across the organisation.
• Increased adoption and effective use of analytics AI and selfservice tools within approved governance and risk guardrails.
• Improved consistency reuse and quality of data and analytics practices across Divisions.
• Demonstrable progress in enterprise data and analytics maturity.
• A futureready data and analytics workforce aligned to the Strategic Workforce Plan and supported by strong talent pipelines capability reviews and succession planning.
• Sustained business value from analytics and AI investments.

Governance & Risk Accountabilities

• Operate within approved risk appetite embedding governance across data usage analytics usage privacy and ethics.
• Ensure data and analytics outputs are trusted explainable auditable and decisionready enabling executive and Board confidence.
• Maintain effective controls assurance documentation and issue management in line with Group policies.
• Act as a visible role model for strong dataled leadership behaviours across Westpac.

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