Senior AI Strategy and Portfolio Lead

Westpac Bank; Sydney; On-site; AUD 180,000 - 300,000; Full time

Job summary

Westpac Banking Corporation seeks a senior, hands-on Data Science leader to connect strategy, delivery and measurable value across AI initiatives in Business Banking & Wealth. You will frame problems, shape an AI portfolio, guide delivery across squads and mentor a growing AI team.

This role turns business priorities into safe, measurable AI outcomes while building capabilities for the long term and embedding responsible AI practices across governance and risk.

Qualifications

• Senior-level Data Science leadership with hands-on delivery in complex, regulated finance.
• Proven ability to frame problems, prioritise AI portfolios and realise measurable benefits.
• Experience building and coaching high-performing AI teams across squads.
• Strong governance, risk, privacy and ethical oversight in AI initiatives.

Responsibilities

• Own the AI portfolio roadmap, capacity planning and measurable benefits with business owners.
• Shape problems, decide approach and evidence of success for each initiative.
• Lead delivery across multiple squads, managing dependencies and trade-offs.
• Evaluate technical trade-offs and collaborate with engineering and risk teams.
• Build and grow an AI science team with clear performance expectations.
• Embed responsible AI including privacy, security, fairness and governance.
• Drive adoption and live outcomes with business owners and monitor value.

Skills

Senior data science leadership

Portfolio strategy

People leadership

AI risk & governance

Cross-functional partnering

Business-aligned delivery

Financial services domain

Job description

Westpac Banking Corporation seeks a senior, hands-on Data Science leader to connect strategy, delivery and measurable value across AI initiatives in Business Banking & Wealth. You will frame problems, shape an AI portfolio, guide delivery across squads and mentor a growing AI team.

This role turns business priorities into safe, measurable AI outcomes while building capabilities for the long term and embedding responsible AI practices across governance and risk.