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Ernst & Young

Global professional services: consulting, assurance, tax

Manager – Assurance AI Client Services

Risk, Regulatory & Legal AdvisoryConfirmed live in the last 24 hours
Full-timeSydney NSW, AustraliaNo salary listed

About the Job

Requirements

  • Experience at Manager level, or equivalent, in AI, data science, analytics, technology risk, audit analytics, model risk, AI assurance, digital assurance or a 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.

Desired Qualifications

  • 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.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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