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Westpac

Banking and financial services for customers

Executive Manager - AI Science, Digital & Channels

Natural Language Processing & LLMsConfirmed 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 AI, including senior leadership, with recent hands-on practice in complex, highly regulated financial services environments.
  • Deep practical experience with large language models, retrieval, agent orchestration, and evaluation methods for conversational AI and real-time agent assist.
  • A track record of delivering AI beyond experimentation into reliable, monitored, and supportable production services.
  • Experience designing AI architecture that integrates customer context across channels and supports frontline employees with trusted, relevant information.
  • Practical command of evaluation, Responsible AI, and production controls for customer-facing and employee-facing AI.
  • People leadership experience, including building teams, hiring capability, coaching specialists, and creating clear direction.
  • Executive influence and the ability to translate between customer needs, business value, technical constraints, and risk obligations.
  • Experience in digital servicing, contact centre (CCaaS), or branch operations.
  • A collaborative approach that respects enterprise standards, governance decision rights, and multidisciplinary delivery.

Responsibilities

  • Own the cross-channel AI strategy and technical roadmap with channel product leaders, aligned to divisional and enterprise AI strategies and a reusable target-state capability.
  • Partner with Digital, contact centre, branch, Product, Technology, Design, Data, and Risk leaders to frame and prioritise use cases with clear problems, users, benefits, data needs, owners, and risk classification.
  • Lead technical direction for conversational AI, real-time agent assist, intelligent servicing, and customer-context integration, and advise on investment decisions.
  • Own end-to-end solution quality, from evaluation and validation through controlled release, monitoring, and retirement, so AI responses are reliable across channels.
  • Ensure every solution meets Group AI risk policies, embedding privacy, security, model risk, Responsible AI, explainability, fairness, human oversight, and operational resilience.
  • Agree shared architecture, interfaces, acceptance criteria, and accountable owners across business, Technology, and AI teams.
  • Lead the controlled transition of proven AI capabilities from experimentation into secure, supported production services with Technology and Operations.
  • Monitor adoption, response quality, latency, risk controls, and realised value across channels, intervening or escalating early when outcomes, controls, or timelines are at risk.
  • Build and lead a team of AI professionals, develop future technical leaders, and contribute reusable patterns, evaluation methods, and operational controls to the wider AI Science practice.

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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