Inactive
E

Ernst & Young

Global professional services: audit, tax, consulting

Technology Risk Manager - AI Advisory & Assurance

Risk, Regulatory & Legal AdvisoryPosted on Nov 3
Full-timeLuxembourgNo salary listed

About the Job

Requirements

  • A Master's degree or equivalent certification in Computer Science, Data Science, Artificial Intelligence, Information Systems, engineering, or another appropriate academic major is required.
  • At least 5 years of relevant experience in technology risk, IT audit, data/AI advisory, or consulting, including at least 1 year focused on AI governance, AI risk management, or AI solution delivery is required.
  • At least 1 year of hands-on experience working with and developing AI products and solutions, such as machine learning models, generative AI or large language model applications, or AI agents, covering the lifecycle from use-case definition and data preparation through deployment and monitoring, is required.
  • At least 3 years of supervisory or managerial experience leading teams and client engagements, including responsibility for engagement quality and risk management, is required.
  • Sound knowledge of and experience with governance and risk management frameworks and standards, including ISO/IEC 42001, ISO/IEC 23894, the NIST AI Risk Management Framework, and the OECD AI Principles, as well as common IT frameworks such as COBIT, ITIL, and ISO 27000-series standards, is required.
  • A solid understanding of the EU AI Act and related regulations, including GDPR, DORA, and NIS2, and their practical implications for clients, particularly in financial services, is required.
  • The candidate must hold, or be willing to obtain within 1 year of hire, at least one recognized AI certification, such as ISACA AAIA, ISACA AAISM, IAPP AIGP, or ISO/IEC 42001 Lead Auditor or Lead Implementer.
  • A proven track record in business development, including identifying opportunities, building trusted relationships with senior client stakeholders, and contributing to proposals that convert into advisory and assurance engagements, is required.
  • The candidate must be able to explain complex AI concepts and risks clearly and in a business-oriented way to executives, boards, and non-technical stakeholders.
  • The candidate must be fluent in English.
  • The candidate must be highly organized and flexible, learn quickly, and apply skills in new situations.
  • The candidate must anticipate problems and take decisive action while considering impacts on the client and the company.
  • The candidate must seek and share knowledge, ideas, and solutions to improve clients' businesses and processes.

Responsibilities

  • Lead AI advisory engagements, including AI strategy and use-case assessments, AI governance and operating model design, AI risk management frameworks, AI inventory and risk classification, and responsible AI policies and controls.
  • Assess AI systems and products throughout their lifecycle, including data sourcing, model development, validation, deployment, and monitoring, across generative AI and agentic AI solutions; recommend pragmatic controls for model risk, data quality, security, privacy, bias, and explainability.
  • Advise clients on compliance with the EU AI Act, GDPR, DORA, NIS2, ISO/IEC 42001, ISO/IEC 23894, and the NIST AI Risk Management Framework.
  • Identify, shape, and convert advisory relationships into assurance opportunities, including AI governance and controls attestation, ISO/IEC 42001 readiness and pre-certification reviews, and independent AI model and algorithm reviews.
  • Drive market, sales, and business development activities by developing service propositions, preparing proposals and pricing, leading client presentations and workshops, and contributing to thought leadership and market events.
  • Collaborate with financial audit, data and analytics, and AI specialists to support integrated audits where AI affects financial reporting and to embed AI-enabled tools into service delivery.
  • Manage engagement economics, quality, and risk, including independence considerations when moving from advisory to assurance services with the same client.
  • Lead, coach, and develop Technology Risk professionals and build AI capabilities across the team.
  • Manage multidisciplinary teams to deliver quality services to clients and contribute to growing the AI advisory and assurance portfolio.

Desired Qualifications

  • Additional relevant certifications, such as CISA, CISM, CRISC, CGEIT, CISSP, CIA, ISO 27001 Lead Auditor or Implementer, PMP, or technical AI and cloud certifications, are advantageous.
  • Significant experience in AI assurance, algorithm audits or model risk management and validation; development or implementation of AI/ML or generative AI products; governance programme implementation; attestation engagements such as ISAE 3000 or ISAE 3402/SOC; or IT audit or financial statement audit support is advantageous.
  • Experience with data science and AI tooling such as Python, SQL, Azure OpenAI, Azure Machine Learning, AWS SageMaker, AWS Bedrock, Databricks, MLOps platforms, and AI-enabled audit or analytics tools is advantageous.
  • Prior experience in project planning and management is advantageous.
  • Knowledge of basic accounting and financial reporting principles is advantageous.
  • Knowledge of business and accounting information systems, including accounting, billing, payroll, and ERP systems such as SAP and Navision, is advantageous.
  • Knowledge of IT and cloud architecture, data platforms, and AI-specific security risks such as prompt injection, data leakage, and model poisoning is advantageous.
  • Knowledge of statistics, machine learning techniques, model evaluation, and data analytics tools is advantageous.

About the Company

Ernst & Young

Global professional services: audit, tax, consulting

EY provides professional services across Assurance, Tax, Consulting, and Strategy & Transactions through member firms coordinated by EY Global. It serves clients in about 150 countries with cross-disciplinary teams delivering audits, tax planning, technology, risk management, and M&A and strategy advisory. Its global, integrated platform and large network differentiate it by offering coordinated services across disciplines. The goal is to help clients meet regulatory requirements, improve governance and performance, and create value.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

Recently Posted Jobs

Explore more opportunities at Ernst & Young

See more jobs