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Ernst & Young

Global professional services: consulting, assurance, tax

Digital Risk - Responsible AI Consultant

Risk, Regulatory & Legal AdvisoryUpdated on Nov 14
Full-timeKatowice, PolandNo salary listed

About the Job

Requirements

  • 3–5 years of relevant experience in risk, compliance, data governance, IT audit, or AI governance-related roles.
  • A university degree in Computer Science, Data Science, Law, Risk Management, or a related field.
  • English working proficiency at B2 level or above.
  • Working proficiency at B2 level or above in at least one additional language: French, Spanish, German, Dutch, or Italian.
  • Working experience in at least one of AI governance, model risk or algorithmic accountability; data governance, IT risk or regulatory compliance; or internal or external audit with exposure to emerging technologies.
  • Understanding of at least one of the following: the EU AI Act, GDPR or AI-related regulatory frameworks; ISO 42001 AIMS requirements and Annex A control mapping, NIST AI RMF or responsible AI principles; or risk and control design, governance frameworks or compliance programs.
  • At least one of the following certifications: AIGP or ISO 42001.

Responsibilities

  • Support the design and implementation of Responsible AI governance frameworks, including policies, principles, operating models and steering structures.
  • Assist in developing enterprise AI inventories, use-case intake processes and EU AI Act risk classification approaches.
  • Support the design of controls for high-risk AI systems, including data governance, transparency, explainability, human oversight and monitoring.
  • Perform gap assessments and readiness evaluations for the EU AI Act and ISO 42001 AIMS, including control mapping and remediation planning.
  • Conduct assessments of fairness, bias, explainability, accountability, privacy, safety and model risk across AI use cases.
  • Support the development of governance documentation, risk reporting and evidence models for audit and regulatory readiness.
  • Collaborate with stakeholders across Legal, Risk, Compliance, Data Science, IT and business teams to align AI governance with enterprise risk frameworks.

Desired Qualifications

  • Knowledge of AI and machine-learning lifecycle concepts and associated risks, including bias, explainability and model risk.
  • Experience conducting AI risk assessments or governance framework implementations.
  • Understanding of the interaction between AI regulation and broader frameworks, including GDPR and sector regulations.
  • Experience preparing audit-ready documentation, control evidence and reporting for regulators or senior stakeholders.
  • Background in data governance, IT risk, compliance, audit or digital ethics.
  • Past experience in industries such as financial services, fintech, healthcare, pharma, public sector, government, education, HR technology, telecom, manufacturing, automotive or technology-driven organizations.
  • Experience with AI governance implementation or model oversight programs.
  • Additional credentials such as AI governance training or cloud AI certifications.

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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