AID&E - AI Governance & Responsible AI - Senior - Consulting jobs in United States
EY
- AID&E - AI Governance & Responsible AI - Senior - Consulting
- Senior Level
- $128K/yr - $192K/yr
Responsibilities
- Lead current-state assessments and peer benchmarking of AI and technology governance structures, policies, processes, and technology capabilities to define target-state design and prioritized remediation
- Design and implement Responsible AI control frameworks, translating regulatory and policy requirements into control objectives, technical control specifications, evidence standards, and testing procedures
- Implement technical Responsible AI controls across the AI lifecycle, including use-case intake, risk tiering, bias and fairness testing, explainability, LLM guardrails, content safety, human-in-the-loop checkpoints, and continuous monitoring
- Configure and deploy AI governance, data governance, and GRC platforms to operationalize AI inventories, model registries, approval workflows, lineage, and automated evidence collection
- Embed governance controls into MLOps/LLMOps and CI/CD pipelines (e.g., pre-deployment gates, evaluation checks, logging, and audit trails) so controls are enforced by design rather than reviewed after the fact
- Design and implement access governance, role-based access, and segregation of duties controls across ERP and cloud AI environments (e.g., Oracle Cloud, Azure, AWS), balancing security, efficiency, and user experience
- Drive deployment, adoption, and sustainment of governance programs through phased roadmaps, control testing, operating procedures, runbooks, and handover to client teams
- Travel as required to meet client needs and project demands
- Foster strong relationships with clients, acting as a trusted advisor from governance design through build, deployment, and go-live
- Facilitate workshops with business, technology, data science, risk, legal, and compliance stakeholders to translate obligations into implementable technical and process requirements
- Collaborate with clients and stakeholders to translate business requirements into scalable, operable solutions, and partner with engineering and platform teams to deliver them
- Provide leadership and development of junior resources
- Build an organizational culture that fosters inclusion and innovation
- Create an environment that fosters professional and career development
- Develop and mentor junior team members, fostering a culture of continuous learning and growth
Preferred
- Certification in AIGP and/or CISA (preferred)
- Experience across global or multi-region engagements
- Experience implementing agentic AI governance controls (agent inventory, permissions, and observability)
- Excellent communication and leadership skills to guide teams and interact with clients
- cloud AI certifications such as Azure AI Engineer or AWS Machine Learning (good to have)
- Professional memberships such as IAPP or ISACA (good to have)
Benefits
- Medical and dental coverage
- Pension and 401(k) plans
- A wide range of paid time off options
- Glassdoor
- 3.6
- EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets.
- London, England, GBR
- http://www.ey.com
- Distribution of Different Job Fields Receiving Sponsorship
- Represents job field similar to this job
- Management and Executive
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- Trends of Total Sponsorships
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Qualifications
- 5+ years of experience
- Proven ability to take governance programs from assessment and design through implementation and sustainment
- Strong understanding of Responsible AI, AI governance, and AI risk management principles, and how to translate them into technical controls
- Hands-on experience implementing controls in AI/ML platforms, data platforms, and GRC tools, not only documenting them
- Working knowledge of IT general controls, identity and access management, and segregation of duties
- Experience delivering large-scale, multi-region enterprise transformation and implementation programs
- Strong analytical skills to develop creative, practical solutions for complex problems
- Excellent communication and facilitation skills, with the ability to bridge executive, risk, and engineering audiences
- Demonstrated emotional agility and the ability to collaborate in hybrid environments
- A Bachelor's degree and 3-6 years of experience in technology risk, AI/data governance, or technology consulting, including hands-on implementation delivery
- Experience conducting governance maturity and gap assessments and delivering the resulting remediation and control implementations
- Hands-on experience configuring and deploying governance, monitoring, or access controls in cloud, AI/ML, or ERP environments
- Experience implementing ERP security and governance (e.g., Oracle Cloud), including role design, provisioning workflows, and segregation of duties controls
- Responsible AI policies, control objectives, evidence standards; NIST AI RMF, ISO/IEC 42001, EU AI Act
- Microsoft Purview, IBM watsonx.governance, Credo AI, ServiceNow AI governance / IRM (or similar)
- Azure AI Foundry / Azure Machine Learning, AWS SageMaker / Bedrock, Google Vertex AI, Databricks
- MLflow, model registries, model cards, CI/CD pipelines (GitHub Actions, Azure DevOps) with automated governance gates
- Fairlearn, IBM AI Fairness 360, SHAP, LIME, SageMaker Clarify
- Azure AI Content Safety, Amazon Bedrock Guardrails, NVIDIA NeMo Guardrails, prompt injection defenses, PII redaction
- LLM evaluation frameworks, adversarial testing tools (e.g., PyRIT, Garak), groundedness and hallucination testing
- Model drift and performance monitoring, AI/agent inventory and observability, logging and audit trails (Azure Monitor, CloudWatch, Datadog)
- Data classification, lineage, and cataloging (Microsoft Purview, Collibra, Unity Catalog); consent and privacy controls
- Microsoft Entra ID, RBAC/ABAC, privileged access management, Oracle Cloud role design and segregation of duties
- ServiceNow IRM, Archer, or AuditBoard; automated control testing and evidence collection
- Python and SQL for control automation, testing, and evidence reporting; Power BI for governance dashboards
- Bachelor's or master's degree in Information Technology, Computer Science, Information Systems, or a related field
- Specialized skills in AI Governance, Responsible AI, Technology Risk, and Access Governance, with demonstrated experience implementing technical controls
- Well-developed business acumen and strong problem-solving attitude with the ability to visualize scenarios, possible outcomes & operating constraints
- Good communication skills both written and oral, ability to make impactful presentations & expertise at using excel & PPTs
- Familiarity with the evolving AI regulatory landscape and ability to translate it into deployable technical solutions
- Excellent problem-solving skills and ability to scale engagements at will
- Certification in AIGP and/or CISA (preferred)
- Experience across global or multi-region engagements
- Experience implementing agentic AI governance controls (agent inventory, permissions, and observability)
- Excellent communication and leadership skills to guide teams and interact with clients
- Cloud AI certifications such as Azure AI Engineer or AWS Machine Learning (good to have)
- Professional memberships such as IAPP or ISACA (good to have)
- A Bachelor’s degree and 3-6 years of experience in technology risk, AI/data governance, or technology consulting, including hands-on implementation delivery
Required skills
- , AI Governance, Technology Risk Management, Access Governance, NIST AI Risk Management Framework (AI RMF), ISO/IEC 42001, EU AI Act, Microsoft Purview, Azure Machine Learning, AWS SageMaker, Oracle Cloud Role Design and Segregation of Duties, Python
Preferred skills
- Certification in AIGP and/or CISA (preferred), Experience across global or multi-region engagements
Experience
