Associate Director, AI Marketing Enablement

Grade Level (for internal use): 12

About the Role:

As Associate Director, AI Marketing Enablement, you will serve as the central hands‑on AI practitioner within Enterprise Marketing, personally identifying, building, and scaling AI‑enabled workflows that materially improve marketing performance, productivity, and customer experience. This role is for a true practitioner who has built and operationalized AI solutions in real marketing workflows and can deliver by mobilizing stakeholders and partnering with platform/automation teams for enablement and guardrails  are a marketer first, deeply familiar with campaign creation, demand generation, ABM, digital marketing, content, and customer journey orchestration and you actively experiment with frontier AI tools (e.g., Claude, GPT, agent frameworks, low‑code scripting environments) in your own workflows.

This is a builder role that drives cultural change through demonstrated application.

• Own end‑to‑end delivery of AI capabilities that improve productivity, customer experience, and business performance—from problem definition to shipped workflow.
• Use cases will span campaign ideation and acceleration, AI‑assisted content development, ABM research and targeting, SDR augmentation, personalization experimentation, marketing analytics summarization, and AI‑enabled decision support.
• Rapidly prototype and iterate on solutions (e.g., prompt/agent workflows, AI features in existing Martech, automation patterns, decision support, content/response acceleration), then harden them into repeatable, supported operating processes.
• Leverage modern AI tooling (e.g., LLM prompting frameworks, agent orchestration tools, low‑code automation platforms, embedded AI features in enterprise martech) to move quickly from concept to impact.
• Integrate AI into enterprise marketing and revenue platforms (e.g., Salesforce, Marketo, Adobe stack, content systems, collaboration tools), ensuring adoption directly within campaign, commercial and analytics workflows.
• Define operational standards and performance benchmarks for deployed AI (usage patterns, prompt standards, testing protocols, documentation, and monitoring).

• Identify and prioritize high‑impact marketing AI use cases based on measurable business value (pipeline lift, conversion improvement, cycle‑time reduction, engagement gain), balancing feasibility and risk.
• Execute rapid experimentation, demonstrate value with speed before scaling what works.
• Maintain a transparent roadmap and delivery backlog; manage trade‑offs and stakeholder expectations.
• Define success metrics and measurement plans; track adoption, quality, risk signals, and business impact; continuously optimize.
• Partner with Marketing Analytics and Revenue Operations to quantify revenue, pipeline, and efficiency impact of deployed AI capabilities.

• Lead by example by embedding AI directly into live campaigns and workflows, showcasing tangible wins to accelerate enterprise‑wide adoption.
• Develop practical enablement: playbooks, “how‑to” guides, office hours, training, and role‑based toolkits that drive durable behavior change.
• Build feedback loops with end users and leaders; convert learnings into backlog improvements and new use cases.

• Operationalize responsible AI practices: usage guidelines, human‑in‑the‑loop standards, documentation, data/privacy considerations, and escalation paths.
• Partner with Legal, Risk, Security, and Technology to ensure compliant deployment and scalable guardrails—without blocking innovation.

• Influence across business, operations, and technology teams to deliver outcomes; you will often lead via alignment, artifacts, and momentum rather than hierarchy.
• Translate between business needs and technical possibilities; drive crisp decisions on scope, timelines, risk, and adoption requirements.

• You maintain personal fluency with evolving AI capabilities and regularly…