Inactive
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Ernst & Young

Global professional services: audit, tax, consulting

Technology Risk Senior - AI Governance

Risk, Regulatory & Legal AdvisoryPosted on Nov 3
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 4 years of experience in AI Governance, Model Governance, Technology Risk, AI Risk Management, Data Governance, or Compliance.
  • Strong understanding of Responsible AI principles, AI governance frameworks, and AI/ML lifecycle governance.
  • Knowledge of AI regulations and standards such as ISO 42001, NIST AI RMF, EU AI Act, and GDPR.
  • Experience performing AI risk assessments, governance reviews, control evaluations, and compliance reporting.
  • Understanding of Machine Learning, Generative AI, Agentic AI, and associated governance risks.
  • Familiarity with AI and cloud platforms such as Azure AI, Azure OpenAI, Databricks, Microsoft Fabric, AWS, or Google Cloud from a governance, risk, compliance, or controls perspective.
  • Proficiency with collaboration and governance tools such as Jira, Confluence, Azure DevOps, SharePoint, and ServiceNow.
  • Strong analytical and problem-solving skills.
  • Ability to work collaboratively in cross-functional teams within a fast-paced environment.

Responsibilities

  • Contribute to Technology Risk client engagements and internal initiatives by supporting the delivery of AI Governance, AI Risk Management, and AI Assurance activities.
  • Work closely with Managers and engagement teams while participating in client engagements, conducting risk assessments, evaluating governance controls, and supporting compliance and assurance reviews.
  • Confirm that work is of high quality and is reviewed by the next-level reviewer.
  • Assist fellow team members while delivering an assignment and help create a positive learning culture.
  • Advise clients on designing, assessing, monitoring, and enhancing AI governance programs to ensure responsible, ethical, secure, and compliant use of AI technologies.
  • Collaborate with cross-functional teams to address issues and deliver seamless client support.
  • Collaborate with internal audit, IT security, and business stakeholders to assess control effectiveness and facilitate remediation activities.
  • Design, assess, and advise on enterprise AI governance frameworks, policies, standards, and controls.
  • Support AI assurance, audit, and compliance reviews through governance evidence, control assessments, and risk mitigation activities.
  • Design IT risk controls frameworks such as IT SOX.
  • Test internal controls such as IT general controls, IT application controls, information produced by the entity controls, and interface controls.
  • Perform AI governance reviews, control assessments, and compliance evaluations against established frameworks, policies, and regulatory requirements.
  • Conduct AI risk assessments covering bias, fairness, explainability, privacy, security, model risk, hallucinations, and regulatory compliance.
  • Maintain AI inventories, model registers, risk classifications, and governance documentation to ensure transparency and accountability.
  • Collaborate with Data Science, Engineering, Legal, Risk, Compliance, Cybersecurity, and business teams to assess governance compliance, review controls, and provide independent oversight across AI development and deployment processes.
  • Monitor AI risk indicators, model performance, control effectiveness, and compliance metrics, providing governance reporting and executive dashboards.
  • Assess and evaluate Data Governance, Data Quality, Metadata Management, Data Lineage, and Model Governance controls to support AI governance and risk management objectives.
  • Promote ethical AI adoption by ensuring fairness, transparency, accountability, privacy, and security are integrated into AI solutions.
  • Assess the design and operating effectiveness of governance controls, Human-in-the-Loop controls, approval workflows, and lifecycle governance checkpoints for Machine Learning, Generative AI, LLM, and Agentic AI solutions.

Desired Qualifications

  • Experience in ITGC, ITAC, SOX, Technology Risk, Internal Audit, Risk & Compliance, or GRC engagements.
  • A bachelor's degree in computer science, Information Systems, Data Science, Risk Management, Cybersecurity, or related disciplines.
  • Relevant certifications.

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

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