AID&E - AI Governance & AI - Senior - Consulting

Location:

New York

Other locations:
Anywhere in Country

Date:
Oct 14, 2026

Requisition

Location:

Anywhere in Country

At 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.

We 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.

In 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.
• 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.

To excel in this role, you will need:

• Proven ability to take…