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Director of AI Innovation & Enablement

Job in Jacksonville, Duval County, Florida, 32099, USA
Listing for: AXM (Ars X Machina)
Full Time position
Listed on 2026-11-05
Job specializations:
  • IT/Tech
    AI Business & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR
Job Description & How to Apply Below

As Director of AI Innovation & Enablement, you’ll help lead Ars X Machina’s evolution from an AI-enabled agency to an AI-native one, where teams can securely query approved knowledge and data, automate work, and turn answers into better decisions and new ideas. You’ll evolve our current AI capabilities and lead the architecture that helps teams find efficiencies across paid media planning, activation, measurement, and operations, giving people more time to execute the highest-value work.

Those same capabilities will drive innovation through sharper strategies, new services, and proprietary solutions for clients.

This is a hands-on role. You’ll evaluate technology, configure AI assistants and agents, build automations, connect approved knowledge and data, and test outputs across approved AI platforms and systems. You’ll make those capabilities useful to teams through role-specific training, coaching, office hours, and playbooks grounded in real work, helping employees combine marketing expertise, AI, data, automation, and human judgment.

Working with the Leadership team, you’ll lead one AI roadmap across Media Planning & Investment, Analytics & Data Science, and Operations. You’ll use an Agile approach to prioritize initiatives, build and test with teams, learn quickly, and scale what works. You’ll guide responsible use and investment decisions while driving proven ideas into daily practice. Success will show up in stronger employee skills, sustained adoption, faster and higher-quality work, and new value clients can see.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Own a focused AI strategy and roadmap
  • Translate agency and client priorities into a focused AI portfolio using Agile Scrum. Evaluate emerging AI, agentic, automation, martech, and data capabilities; separate practical opportunities from hype and recommend where AXM should experiment, invest, partner, or develop new capabilities.
  • Manage intake, prioritization, pilots, rollout, measurement, and maintenance. Recommend platforms, investments, and sequencing, deciding what to test, scale, defer, or stop.
Design and validate AI workflows
  • Partner with Media Planning & Investment, Analytics & Data Science, and Operations to identify recurring work and test approved AI workflows for new business development, research, campaign builds, trafficking, pacing, optimizations, and reporting. Scale concepts across the agency after team validation of quality, usefulness, and risk.
  • Identify opportunities for agents to coordinate multi-step media, measurement, and operational workflows across agency teams. Define autonomy limits, required human oversight, and standards for testing, monitoring, and maintaining agent-driven work.
Evolve, build, and scale AXM’s AI portfolio
  • Build and maintain approved assistants, agents, and automations, with clear ownership, support, and cost controls.
  • Make approved AXM knowledge and client data securely queryable, with appropriate permissions and answer validation.
  • Partner with Leadership and the AXM client facing team to apply proven AI capabilities to client challenges and develop sharper strategies, new services, and proprietary solutions.
Drive adoption and develop a workforce of marketing technologists
  • Provide hands-on training, office hours, and playbooks that help teams apply AI to their daily work. Partner with Managers and AI champions to remove barriers, set adoption goals, and track sustained use.
  • Build role-based AI learning paths for onboarding and development, covering workflow design, automation, output evaluation, and peer coaching through real client work.
Protect quality, client data, and responsible use
  • Work with Operations and IT to protect company and client data and keep AI outputs reliable. Check answers…
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