Director of AI Innovation & Enablement

Ars X MachinaMedia agency

United StatesFull-TimeDirector

Salary150,000 - 180,000 USD per year

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Job Details

Experience: 5+ years in marketing technology, analytics, operations, consulting, or equivalent relevant work.
Required Skills: QA AutomationData StructuresRESTful APIs

Have 5+ years of experience in marketing technology, analytics, operations, consulting, or equivalent relevant work.
Bring a strong understanding of paid media and agency workflows, preferably gained at an ad agency.
Show demonstrated success rolling out AI or automation with teams and measurable gains in adoption, quality, efficiency, or client value.
Have hands-on proficiency with AI platforms, including assistants, agents, automations, knowledge sources, workflows, and output evaluation.
Have familiarity with APIs, data structures, and low-code automation; these are highly preferred.
Scripting or coding experience for prototyping automations and troubleshooting integrations is a plus.
Experience with Agile or Scrum is a plus.
Bring strong communication, training, facilitation, and stakeholder-management skills.
Be able to explain technical concepts across different skill levels and develop role-based learning paths and AI champions.
Be able to prioritize initiatives, meet deadlines, and measure value.
Use sound judgment around confidentiality, security, permissions, and human oversight, and document, maintain, simplify, and retire workflows.

Own the AI strategy and roadmap, translating agency and client priorities into a focused portfolio.
Evaluate AI, agentic, automation, martech, and data capabilities and recommend where to experiment, invest, partner, or develop.
Manage initiative intake, prioritization, pilots, rollout, measurement, and maintenance using Agile Scrum.
Partner with Media Planning & Investment, Analytics & Data Science, and Operations to identify recurring work and validate AI workflows.
Define autonomy limits, human oversight, and testing, monitoring, and maintenance standards for agent-driven workflows.
Build and maintain approved assistants, agents, and automations with clear ownership, support, and cost controls.
Make approved agency knowledge and client data securely queryable, with appropriate permissions and answer validation.
Provide hands-on training, office hours, playbooks, and role-based AI learning paths to drive adoption.
Work with Operations and IT to protect data, validate AI outputs, and measure adoption, quality, build time, and business value.

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