AI Governance Engineer

dentsu•New York, NY

18h•$82,500 - $130,000•Hybrid

About The Position

Dentsu is operationalizing AI across its brands and practices. The AI Governance Concierge Service provides Americas business teams with a dedicated point of contact to guide AI product adoption through governance review and implementation. The AI Governance Engineer serves as process navigator, program manager, and technical implementer for the service, working closely with the AI Governance Service Lead. The Engineer reviews submission packages approved by the Lead, develops a thorough understanding of each business case, vendor research, risk profile, and policy rationale, and takes ownership of coordinating submissions through cross-functional review. The role serves as the knowledgeable primary contact for reviewing functions, works with the Analyst on additional research or documentation, tracks progress and blockers, and owns implementation after approval. The service aims to provide a clear path forward for business teams, including identifying suitable alternatives or solutions that meet governance requirements and clearly documenting risks when approval cannot be granted. The role also coordinates complete onboarding of approved solutions, ensures records and agreements are in order, checks that solutions are operating within approved parameters after launch, and continuously improves review and implementation processes. The position is hybrid, with regular in-person collaboration for employees living within commuting distance of an office; those outside that distance may be designated remote depending on role and business needs. Regardless of location, occasional office attendance may be required.

Requirements

At least 5 years of experience in IT governance, enterprise technology delivery, program or project management, or work spanning compliance and technical implementation within a large organization.
Demonstrated ability to navigate cross-functional reviews involving Legal, Data Privacy, Information Security, Emerging Technology, and Procurement stakeholders simultaneously.
Strong program management skills, including managing schedules for multiple concurrent submissions with competing priorities and stakeholders with different risk tolerances.
Solid understanding of AI/ML concepts, generative AI capabilities, and the AI adoption risk and compliance landscape, sufficient to engage substantively with reviewers on technical questions.
Technical fluency coordinating enterprise onboarding across cloud infrastructure, SSO/identity such as Okta, ITSM such as ServiceNow, CMDB/CSDM tooling, and AI governance workflow systems.
Strong relationship-building skills and ability to earn the trust of Legal, Security, Data Privacy, and technical teams through reliability, preparation, and clear communication.
Clear, precise communication skills, including the ability to translate accurately between technical, legal, and business audiences.

Nice To Haves

Experience in a media, marketing, advertising, or professional services organization.
Familiarity with GenAI governance frameworks such as NIST AI RMF, EU AI Act, or ISO 42001, or data privacy regulations such as GDPR or CCPA.
Hands-on experience with enterprise AI platforms such as Claude Enterprise, Microsoft Copilot, Google Gemini, or similar, and their enterprise deployment requirements.
Background in vendor risk assessment, third-party due diligence, or enterprise technology procurement.
Experience with Coupa, ServiceNow, OneTrust, or similar enterprise workflow and compliance platforms.
IAPP AIGP, CIPP, CISSP, PMP, or equivalent certification.

Responsibilities

Receive and thoroughly review submission packages approved by the Service Lead, understanding each business case, vendor research, risk profile, and policy rationale.
Project-manage submissions through the full review lifecycle in AIRS and TPSA, tracking open items, deadlines, and reviewer actions through final determination.
Set and communicate review schedules according to priorities communicated by the Lead, and actively maintain schedules during review and implementation.
Keep the AI Concierge Program Tracker updated with real-time progress across review and implementation phases.
Coordinate with the Analyst on additional research, documentation, or clarification requested by reviewers; check submissions for completeness and route them to the appropriate reviewing function.
Regularly report status, progress, and blockers to the Service Lead.
Build and maintain working relationships with Legal, Information Security, Data Privacy, Emerging Technology, and Procurement counterparts.
Serve as the primary, knowledgeable point of contact for reviewing functions and shepherd submissions through cross-functional review.
Partner with Global Enterprise Technology to guide requests through review, satisfy engagement-level requirements, and coordinate technical implementation.
Translate technical and legal concerns into plain language for the Service Lead and Analyst, supporting accurate business communications and follow-up documentation.
Identify governance or review blockers, promptly surface them to the Service Lead with context and recommended resolution paths, and actively pursue resolution.
Escalate risk-flagged items to the Service Lead and relevant stakeholders and document disposition rationale.
Coordinate full implementation of approved solutions with Cloud, Okta, ServiceNow, End User Computing, and Global Enterprise Technology.
Register each approved AI product in the Common Services Data Model (CSDM) as part of onboarding and maintain an accurate AI product landscape record.
Confirm required data processing agreements, ICPAs, and procurement steps are complete before rollout.
Conduct post-implementation check-ins to confirm solutions are live, stable, and operating within approved parameters, and report findings to the Service Lead.
Continuously improve review orchestration and implementation methodology by identifying friction, proposing solutions, and driving team adoption.
Document implementation patterns and onboarding playbooks for common tool categories.
Participate in dentsu AI communities and working groups, keeping current on emerging tools, enterprise deployment patterns, and governance developments and sharing relevant insights with the team.
Identify opportunities to integrate AIRS, ServiceNow, Coupa, and other enterprise platforms to improve efficiency and reduce manual effort.