Manager - Assurance AI Client Services

About the role

EY is looking for a Manager to lead its Assurance AI Client Services team in Oceania. You will help deliver, activate regionally and grow the AI client services portfolio across Assurance, working with clients and EY teams on AI governance and controls, AI-ready data and AI systems and models. The position is hybrid, based in Warringah, Sydney, and may be adjusted to work flexibly with reduced hours.

Key responsibilities

• Lead AI assurance and advisory engagements covering AI governance and controls, AI-ready data, AI systems and models, helping clients build trust, confidence and compliance.
• Manage end-to-end delivery of client engagements, including workplans, budgets, resources, stakeholder relationships and project teams.
• Drive AI data and model assurance activities, such as assessing data readiness, data quality, governance, controls, model performance, explainability, fairness and risk management.
• Support the growth of the AI Client Services practice through client service offerings, proposals and go-to-market initiatives, reusable assets, and helping audit and technology risk teams apply AI audit methodologies.

Required profile

• Manager-level experience, or equivalent, in AI, data science, analytics, technology risk, audit analytics, model risk, AI assurance or a related field.
• Strong understanding of AI governance, risk, controls and assurance, with practical knowledge of AI systems, machine learning, data pipelines, model lifecycle, model testing and AI control environments.
• Experience assessing data readiness, quality, integrity or controls, and supporting model testing, validation and technical assurance.
• Strong project and engagement management, including planning, coordination, stakeholder communication, escalation and budget management.
• Ability to turn complex technical AI, data and model concepts into clear recommendations for clients and stakeholders.

Ideally, candidates also have audit, IT audit, internal audit or model risk experience, experience with AI data readiness assessments, testing of predictive, classification, generative AI or LLM solutions, and exposure to cloud AI platforms (Azure, AWS, Google Cloud, Databricks, Snowflake) and MLOps. Relevant qualifications or certifications in data science, statistics, computer science, engineering, mathematics, actuarial studies, information systems, accounting, audit, risk, privacy, cloud, AI or governance are also valued.

What we offer

• Career development with future-focused skills and world-class experiences.
• Flexible work arrangements.
• A benefits package including a yearly wellness incentive, an extra 8 weeks of flex leave per year, and family-friendly policies including up to 26 weeks of gender-neutral paid parental leave.
• A competitive salary open to negotiation depending on skills and experience.