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Westpac

Banking and financial services for customers

Executive Manager AI Science, Mortgages - AI Science, Mortgages

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 10 years of experience in data science and applied artificial intelligence, including senior leadership and recent hands-on practice in banking, lending, insurance, or another complex, highly regulated financial services domain.
  • Deep capability in predictive modelling, experimentation, optimisation, and model validation.
  • A track record of taking advanced analytics or artificial intelligence solutions into controlled production use, with sound knowledge of MLOps or LLMOps and end-to-end lifecycle management.
  • Practical understanding of large language models, document intelligence, and agent workflows, with disciplined judgement on appropriate use.
  • People leadership experience, including building or scaling technical teams, hiring capability, coaching senior practitioners, and setting clear technical direction.
  • Executive influence and communication skills to make complex technical, customer, and risk trade-offs understandable and actionable while engaging with data scientists, engineers, product, operations, and risk partners.
  • A sound risk mindset and demonstrated commitment to fair, explainable, and well-controlled customer outcomes.

Responsibilities

  • Own and maintain the Mortgages AI strategy and roadmap with product leaders, aligned to divisional and enterprise AI strategies, priorities, and approved capability direction.
  • Partner with product leaders to frame and prioritise use cases with clear customer problems, users, benefits, success measures, data needs, delivery ownership, and risk classification.
  • Provide technical direction across predictive AI, optimisation, document intelligence, generative AI, and agentic systems.
  • Be accountable for solution quality from problem definition and experimentation through validation, implementation, monitoring, and retirement.
  • Ensure every use case meets Group AI risk policies and guidelines, embedding privacy, security, model risk, Responsible AI, explainability, fairness, human oversight, and operational resilience from the outset.
  • Connect portfolio priorities with enterprise AI, data, technology, and operating capabilities, agreeing interfaces, acceptance criteria, implementation plans, and accountable owners.
  • Monitor delivery, adoption, model performance, control effectiveness, and realised value, intervening or escalating where outcomes, controls, or timelines are at risk.
  • Build reusable patterns and grow the broader AI Science practice through shared standards, technical review, coaching, and knowledge sharing.
  • Shape an important AI portfolio, build capability from the ground up, and contribute reusable models, agent patterns, evaluations, and delivery lessons across the broader AI Science community.

Desired Qualifications

  • Exposure to mortgages, credit, or lending decision science, including document-heavy or servicing workflows.
  • Experience contributing reusable models, agent patterns, or evaluation approaches across a wider practice or community.

About the Company

Westpac

Banking and financial services for customers

Westpac is an Australian bank offering a wide range of financial services for individuals and businesses, including everyday banking, loans, payments, and digital banking.

Company size
10,001+
Company stage
IPO
Headquarters
Sydney NSW, Australia
Founded
1817

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