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Manager Assurance AI Client Services

EY


Job Location:

Sydney - Australia

Monthly Salary: Not provided by the employer
Posted: 21 August 2026 (2 days ago)
Application Deadline: 18 November 2026
Vacancies: 1 Vacancy

Job Summary

At EY were all in to shape your future with confidence.

Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

The opportunity

As a Manager in EY Oceanias Assurance AI Client Services team youll help lead the delivery regional activation and growth of EY Oceanias AI client services portfolio across Assurance.

You will work with clients and EY teams across AI governance and controls AI-ready data and AI systems and models helping organisations build trust and confidence in their AI ecosystems across governance data compliance models controls and assurance.

This is a hybrid position based in Warrang Sydney. Our roles can potentially be adjusted to work flexibly with reduced hours. Please speak with us about potential options.

Your key responsibilities

  • Lead AI assurance and advisory engagements across AI governance and controls AI-ready data AI systems and models helping clients build trust confidence and compliance across their AI ecosystems.
  • Manage end-to-end delivery of client engagements including workplans budgets resources stakeholder relationships and project teams ensuring high-quality outcomes and exceptional client service.
  • Drive AI data and model assurance activities including assessing AI data readiness data quality governance controls model performance explainability fairness and risk management.
  • Support the growth of EYs AI Client Services practice by enabling client service offerings contributing to proposals and go-to-market initiatives building reusable assets and helping audit and technology risk teams apply AI audit methodologies and guidance.

Skills and attributes for success

  • Experience at Manager level or equivalent in AI data science analytics technology risk audit analytics model risk AI assurance digital assurance or related field.
  • Strong understanding of AI governance AI risk controls and assurance concepts with practical knowledge of AI systems machine learning concepts data pipelines model lifecycle model testing and AI control environments.
  • Experience assessing data readiness data quality data integrity or data controls for analytics AI audit or assurance purposes including accuracy completeness consistency timeliness lineage bias suitability and fitness for purpose.
  • Experience supporting model testing model validation analytics testing or technical assurance procedures including assessment of model inputs outputs performance robustness explainability fairness monitoring limitations and controls.
  • Strong project and engagement management capability including planning coordination stakeholder communication escalation and budget management.
  • Ability to analyse complex issues apply judgement and translate technical AI data and model concepts into clear practical recommendations for clients management and stakeholder audiences.

Ideally youll also have the skills and attributes below but dont worry if you dont tick all the boxes. Were interested in your aptitude attitude and willingness to learn.

  • Experience in financial audit IT audit internal audit technology risk data risk model risk management audit analytics or digital assurance.
  • Experience with AI data readiness maturity assessments feasibility screening data quality evaluation or direct data quality testing.
  • Experience testing or validating predictive models classification models generative AI solutions large language models retrieval-augmented generation or AI-enabled decision systems.
  • Experience with cloud AI data or machine learning platforms such as Azure AWS Google Cloud Databricks Snowflake or similar environments and exposure to MLOps model monitoring model documentation model inventory data governance or AI lifecycle controls.
  • Relevant qualifications or certifications in data science statistics computer science engineering mathematics actuarial studies information systems accounting audit risk technology risk privacy cloud AI or governance.

What we offer you

At EY well fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Were proud to be recognised as the #1 WORK180 Endorsed Employer in the Top 101 Employers for Women 2026. Learn more: development:At EY your career is yours to shape! Well develop you with future-focused skills and equip you with world-class experiences: work arrangements:Our flexible work policies empower you to balance your professional and personal life fostering a culture of trust and autonomy.

  • A comprehensive benefits package:From a yearly wellness incentive to access to additional 8 weeks of flex leave per year and family-friendly policies including up to 26 weeks of gender-neutral paid parental leave we cater to your diverse needs to help you thrive both personally and professionally: We offer a competitive salary which is open to negotiation pending on skills and experience.
  • Acknowledgement of Country

    EY acknowledges the Traditional Owners and Custodians of the lands on which EY offices are located around Australia. We pay our respects to their cultures and to their Elders past present and emerging. Find out more about our vision for reconciliation at is core to who we are and how we work together driving value for our people and for our business. We encourage applications from people of all ages nationalities abilities cultures sexual orientations and gender identities and are committed to providing an equitable and barrier free recruitment experience for all. We encourage you to share any support and adjustments you need to be your best and participate equitably in our recruitment process. We understand sharing your needs with us can be daunting so if you have questions before or during your application we welcome you to get in touch at or(option 2). Anything you tell us will be kept completely confidential.

    Are you ready to shape your future with confidence Apply today.

    #LI-Hybrid

    EYBuilding a better working world

    Our preferred applicant will be required to undertake employment screening by EY or our external third-party provider.


    Required Experience:

    Manager


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