AI Governance Engineer

dentsu; New York (NY); Hybrid; USD 83,000 - 130,000; Full time

Benefits offered by this job

Medical, vision, and dental insurance

Life insurance

Disability insurance

401k

Flexible paid time off

At least 15 paid holidays per year

Paid sick and safe leave

Paid parental leave

Job summary

Dentsu in New York is expanding its AI Governance Concierge Service and seeks an AI Governance Engineer to own intake, governance reviews, and end‑to‑end delivery of AI product implementations. You will coordinate with Legal, Security, Privacy, and Procurement, driving projects through AIRS and TPSA and ensuring compliant onboarding.

The role combines governance, program management, and hands‑on coordination to keep engagements moving toward a successful finish in a hybrid NYC work model.

Qualifications

• 5+ years in IT governance, enterprise technology delivery, or program management.
• Navigate cross‑functional reviews involving Legal, Data Privacy, Information Security, Emerging Technology, and Procurement.
• Strong program management; own and drive a review schedule across multiple concurrent submissions.
• Solid understanding of AI/ML concepts and the governance risk landscape.
• Technical fluency to coordinate enterprise onboarding across cloud infrastructure, SSO, ITSM, and CMDB/CSDM.
• Clear, precise communicator between technical, legal, and business audiences.

Responsibilities

• Review submission packages and understand the business case, vendor research, risk profile, and policy rationale.
• Project‑manage submissions through AIRS and TPSA from submission to final determination.
• Set and communicate the review schedule based on priorities identified by the Lead.
• Update the AI Concierge Program Tracker with real‑time progress.
• Coordinate with the Analyst for additional research or clarification as needed.
• Report status, progress, and blockers to the Service Lead on a regular cadence.

Skills

Program management

Cross-functional collaboration

AI/ML concepts understanding

Technical onboarding coordination

Relationship building

Communication skills

Tools

AIRS

TPSA

Okta

ServiceNow

CMDB/CSDM tooling

Job description

Dentsu is operationalizing AI at scale. Across every brand and practice, business teams are identifying AI-powered tools, platforms, and vendors they want to deploy — and they need a fast, expert path through the governance process to do it safely.

The AI Governance Concierge Service is dentsu's answer to that challenge — a dedicated, end-to-end service that gives any Americas business team a single expert point of contact for AI product adoption. The AI Governance Engineer is the process navigator, program manager, and technical implementer of the service.

Working in close coordination with the AI Governance Service Lead, the Governance Engineer receives each submission package approved by the Lead, thoroughly understands its contents — the business case, the vendor research, the risk profile, and the policy alignment — and takes full ownership of driving it through the cross‑functional review process. The Engineer is expected to speak to the details of every submission they manage, serve as the knowledgeable point of contact for all reviewing functions, coordinate with the Analyst when additional research or documentation is needed, and own the end‑to‑end implementation once approval is granted. This role ensures nothing stalls, nothing is lost, and every engagement crosses the finish line.

The AI Governance Concierge Service is not simply an approval function — it is a service built around bringing every engagement to a successful conclusion. That means approving solutions that meet dentsu's standards, identifying alternative products or approaches that address the business need within governance requirements, and providing solutions that facilitate approval where possible. When risks are identified that prevent approval, the service's role is to clearly document and communicate those risks and leave the decision to the business to weigh the risk and reward. Success is a business team that always has a clear path forward — not just a ruling.

What You Will Do

Submission Intake & Program Management

• Receive and thoroughly review each submission package approved by the Service Lead — developing a deep understanding of the business case, vendor research, risk profile, and policy rationale before the review process begins.
• Project‑manage each submission through the full review lifecycle in AIRS and TPSA — tracking every open item, deadline, and reviewer action from submission to final determination.
• Set and communicate the review schedule for each submission based on priorities identified and communicated by the Lead; maintain that schedule actively throughout the review and implementation phases.
• Update the AI Concierge Program Tracker with accurate, real‑time progress during the review and implementation phases, ensuring the Service Lead always has a current view across all active engagements.
• Work closely with the Analyst when reviewers require additional research, documentation, or clarification — coordinating the request clearly, reviewing what comes back for completeness, and routing it to the appropriate reviewing function without delay.
• Report status, progress, and blockers to the Service Lead on a regular cadence, enabling the Lead to keep the business team accurately informed at all times.

Cross‑Functional Review & Relationships

• Build and maintain trusted working relationships with counterparts in Legal, Information Security, Data Privacy, Emerging Technology, and Procurement — positioning the Concierge Service as an organized, reliable partner that makes their review process easier, not harder.
• Shepherd each submission through the full cross‑functional review process — serving as the knowledgeable, primary point of contact for all reviewing functions, engaging each group with the context and detail they need to review confidently.
• Partner with Global Enterprise Technology to shepherd each request through the review process, ensure Global Enterprise Technology's requirements met at the engagement level, and coordinate the technical backend of implementation.
• Translate technical and legal concerns from reviewers back to the Service Lead and Analyst in plain language — enabling accurate communication to the business team and ensuring the Analyst has what they need to produce any required follow‑up documentation.

Escalation & Risk Management

• Identify blockers within the governance or review process and surface them to the Service Lead immediately with clear context and recommended resolution paths.
• Own the follow‑through on blockers — actively working to resolve open items, maintaining momentum on stalled submissions, and not waiting for issues to resolve themselves.
• Escalate risk‑flagged items to the Service Lead and relevant stakeholders; document disposition rationale for all escalated items.

Implementation & Delivery

• Upon approval, own and coordinate the full implementation of each approved solution — working with Cloud, Okta, ServiceNow, End User Computing, and Global Enterprise Technology to ensure a complete and properly configured onboarding.
• Ensure every approved AI product is registered in the Common Services Data Model (CSDM) as part of the onboarding process, maintaining an accurate and up‑to‑date record of the AI product landscape.
• Confirm that all required data processing agreements, ICPAs, and procurement steps are completed before rollout.
• Conduct a post‑implementation check‑in to confirm the solution is live, stable, and operating within approved parameters — and report findings to the Service Lead to close the loop with the business team.

Program Development — Process & Implementation

• Own the continuous improvement of the review orchestration process and implementation methodology — identifying friction points, proposing solutions, and driving adoption across the team.
• Document implementation patterns and onboarding playbooks for common tool categories to reduce repetitive effort and accelerate future engagements.
• Serve as an active member of AI communities and working groups within dentsu — staying current on emerging tools, enterprise deployment patterns, and governance developments and bringing relevant insights back to the team.
• Help identify integration opportunities with AIRS, ServiceNow, Coupa, and other enterprise platforms to drive efficiency and reduce manual effort across the governance lifecycle.

Required Qualifications

• 5+ years of experience in IT governance, enterprise technology delivery, program or project management, or a role that spans compliance and technical implementation within a large organization.
• Demonstrated ability to navigate cross‑functional review processes involving Legal, Data Privacy, Information Security, Emerging Technology, and Procurement stakeholders simultaneously.
• Strong program management skills; able to own and drive a review schedule across multiple concurrent submissions with competing priorities and stakeholders who have different risk tolerances.
• Solid understanding of AI/ML concepts, generative AI capabilities, and the risk and compliance landscape around AI adoption — sufficient to engage substantively with reviewing functions on technical questions without routinely deferring to others.
• Technical fluency to coordinate complex enterprise onboarding across platforms including cloud infrastructure, SSO/identity (Okta), ITSM (ServiceNow), CMDB/CSDM tooling, and AI governance workflow systems.
• Strong relationship‑building skills; able to earn the trust of Legal, Security, Data Privacy, and technical teams through consistent reliability, preparation, and clear communication.
• Clear, precise communicator — able to translate between technical, legal, and business audiences without losing accuracy in either direction.

Preferred Qualifications

• Experience in a media, marketing, advertising, or professional services organization.
• Familiarity with GenAI governance frameworks (NIST AI RMF, EU AI Act, ISO 42001) or data privacy regulations (GDPR, CCPA).
• Hands‑on experience with enterprise AI platforms (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 is a plus.

The annual salary range for this position is $82,500 - $130,000. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.

Benefits available with this position include:

• Medical, vision, and dental insurance,
• Life insurance,
• Short‑term and long‑term disability insurance,
• 401k,
• Flexible paid time off,
• At least 15 paid holidays per year,
• Paid sick and safe leave, and
• Paid parental leave.

Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com.

At dentsu, we believe great work happens when we’re connected. Our hybrid way of working combines remote flexibility with regular in‑person collaboration to spark ideas and strengthen our teams. Many of our employees who live within commuting distance (90 minutes) from one of our Headquarter or Hub Offices (New York, Chicago, Detroit, Los Angeles) are required to work in the office 2-3 days per week including one Team Day. The minimum number of days may vary by office and role. Dentsu may designate other HQ or Hub offices at any time. Those who do not live near an office may be designated as a remote employee, depending on the role and business needs. Regardless of your work location, we expect you to be flexible to meet the needs of our Company and clients, which may include attendance in an office from time to time.

Location

New York

Brand

Dentsu

Time Type

Full time

Contract Type

Permanent

Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.

Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans.