Manager - Assurance AI Client Services

EY; Adelaide; Hybrid; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Flexible work arrangements

Career development

Comprehensive benefits with flex leave

Gender-neutral paid parental leave

Job summary

EY Oceania is seeking a Manager in the Assurance AI Client Services team to lead AI governance and controls engagements, oversee end-to-end delivery, and drive AI data and model assurance for clients across Assurance. You’ll manage work plans, budgets, and project teams, building trust in AI ecosystems.

You’ll influence growth by contributing to proposals, asset development, and advancing AI audit methodologies within EY’s client services practice, while working in a hybrid setup based in

Qualifications

• 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.

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 EY’s 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

AI governance

AI risk

AI assurance

Model risk

Project management

Stakeholder management

Data governance

Data quality

Job description

At EY, we’re all in to shape your future with confidence.

We’ll 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 Oceania’s Assurance AI Client Services team, you’ll help lead the delivery, regional activation and growth of EY Oceania’s 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 EY’s 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, you’ll also have the skills and attributes below but don’t worry if you don’t tick all the boxes. We’re 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, we’ll fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. We’re proud to be recognised as the #1 WORK180 Endorsed Employer in the Top 101 Employers for Women 2026. Learn more: ey.com/en_au/careers/what-its-like-to-work-here

• Career development: At EY, your career is yours to shape! We’ll develop you with future-focused skills and equip you with world‑class experiences: ey.com/au/careerdevelopment
• Flexible 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: www.ey.com/au/benefits
• Salary: 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 ey.com/en_au/careers/indigenous

Inclusiveness 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 [e-mail] or [phone] (option 2). Anything you tell us will be kept completely confidential.

EY | Building a better working world

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