AI Governance Engineer

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 are 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…