AID&E - AI Governance & Responsible AI - Senior - Consulting
$128.4k - $192.5kEY (Ernst & Young)
Job ID: 1447760533Location: New York, NY, US, 10001-8604Salary: $128,400 - $192,500Job Function: Technology ConsultingEmployer: EY Global ServicesApply by: 2026-11-15Company: EYLocation: Anywhere in CountryAt EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.The OpportunityWe are seeking an experienced Responsible AI and AI governance professional with 5+ years of experience who is passionate about helping organizations adopt AI responsibly, from strategy through hands-on implementation. In this role, you will assess AI and technology governance maturity, design Responsible AI frameworks and control objectives, and implement those controls across the AI lifecycle, embedding them into platforms, data pipelines, MLOps/LLMOps workflows, access models, and GRC tooling. You will move clients from policy to practice by configuring governance tooling, automating evidence collection, standing up monitoring and guardrails, and operationalizing target-state operating models across people, process, policy, and technology. Your ability to connect business strategy, risk, and technology to build trusted, scalable, and auditable AI programs will be crucial.Your key responsibilitiesIn this pivotal role, you will: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.Stakeholder management 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.Team and People development Provide leadership and development of junior resourcesBuild 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.Skills and attributes for successTo excel in this role, you will need: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.Experience: A Bachelor’s degree and 3-6 years of experience in technology risk, AI/data governance, or technology consulting, including hands-on implementation deliveryExperience conducting governance maturity and gap assessments and delivering the resulting remediation and control implementationsHands-on experience configuring and deploying governance, monitoring, or access controls in cloud, AI/ML, or ERP environmentsExperience implementing ERP security and governance (e.g., Oracle Cloud), including role design, provisioning workflows, and segregation of duties controlsSkillsets: AI Governance & Frameworks: Responsible AI policies, control objectives, evidence standards; NIST AI RMF, ISO/IEC 42001, EU AI ActAI Governance Platforms: Microsoft Purview, IBM watsonx.governance, Credo AI, ServiceNow AI governance / IRM (or similar)Cloud AI Platforms: Azure AI Foundry / Azure Machine Learning, AWS SageMaker / Bedrock, Google Vertex AI, DatabricksMLOps / LLMOps: MLflow, model registries, model cards, CI/CD pipelines (GitHub Actions, Azure DevOps) with automated governance gatesBias, Fairness & Explainability: Fairlearn, IBM AI Fairness 360, SHAP, LIME, SageMaker ClarifyGenAI Guardrails & Safety: Azure AI Content Safety, Amazon Bedrock Guardrails, NVIDIA NeMo Guardrails, prompt injection defenses, PII redactionAI Evaluation & Red Teaming: LLM evaluation frameworks, adversarial testing tools (e.g., PyRIT, Garak), groundedness and hallucination testingMonitoring & Observability: Model drift and performance monitoring, AI/agent inventory and observability, logging and audit trails (Azure Monitor, CloudWatch, Datadog)Data Governance & Privacy: Data classification, lineage, and cataloging (Microsoft Purview, Collibra, Unity Catalog); consent and privacy controlsIdentity & Access: Microsoft Entra ID, RBAC/ABAC, privileged access management, Oracle Cloud role design and segregation of dutiesGRC & Control Automation: ServiceNow IRM, Archer, or AuditBoard; automated control testing and evidence collectionProgramming & Data: Python and SQL for control automation, testing, and evidence reporting; Power BI for governance dashboardsCertification in AIGP and/or CISA (preferred); 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)To qualify for the role, you must have: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.Ideally, you’ll also have:A proactive approach to identifying and solving client issues.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.What we look forWe are seeking top performers who demonstrate creativity in solving complex problems, have a track record of designing and implementing successful governance and risk programs, and can navigate the intricacies of client and team management. Ideal candidates will bring a blend of governance expertise, hands-on implementation depth, strategic thinking, and leadership skills to drive trusted, responsible AI adoption in our AI & Data practice.What we offer youAt EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers.The salary range for this job is:New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $128,400 to $192,500Bay Area California offices – $133,600 to $200,600All other offices locations in the US, including Sacramento – $106,900 to $176,500Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.Are you ready to shape your future with confidence? Apply today. To make the most of your application experience, please limit yourself to two applications within a six-month period.EY accepts applications for this position on an on-going basis.For those living in California, please click here for additional information.At EY, our values set the foundation for how we work and the behaviors we expect of our people. Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment.EY | Building a better working worldEY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.All in to shape the future with confidence.EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at View email address on click.appcast.io.
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