Director, AI Product & MarTech Enablement

Job Classification:
Project Mgmt, Transformation & Strategy
- Project Mgmt, Transformation & Strategy

Marketing is being reinvented around intelligent platforms, trusted data, and AI. Our Mar Tech, AI & Data Strategy team owns the capabilities that make that possible - and the AI Product & Mar Tech Enablement pillar is where new AI capability meets everyday marketing execution.

The Director, AI Product & Mar Tech Enablement, leads this pillar. You will own two connected mandates: bringing AI into marketing - the use cases, decisioning, and orchestration that make campaigns smarter and faster - and driving Mar Tech enablement, so the organization gets maximum value from every platform it runs. You'll turn emerging AI from experiment into production-grade product, and you'll make the Mar Tech stack easier to adopt, better supported, and demonstrably more valuable.

You'll operate in a highly matrixed environment as the alignment hub across the Enterprise Data Office, Analytics, Technology, Privacy, and Legal.

Define and articulate a clear vision and roadmap for AI in marketing - the use cases, decisioning, and orchestration capabilities that turn marketing into an intelligent, always-on engine.

Champion the adoption and integration of AI across the marketing organization to create measurable business value.

Prioritize the AI use-case pipeline with senior leadership - securing resources, setting priorities, and measuring performance against clear objectives.

Serve as the subject-matter expert on applied AI for marketing
- GenAI, agentic workflows, decisioning, and orchestration - and guide the exploration of novel approaches to complex challenges.

Lead the design, build, and deployment of AI products and tools - from proof-of-concept through production - meeting quality, scope, and timeline expectations.

Oversee prompt engineering, AI tooling, and experience-intelligence capabilities that put AI directly into marketers' hands

Operationalize AI decisioning and orchestration across the Mar Tech stack , partnering with data and platform teams so models and agents are production-ready and integrated.

Embed responsible AI practices - transparency, fairness, and compliance with data-protection and enterprise standards (e.g., GDPR, CCPA).

Own operational support of the Mar Tech tools and platforms - keeping the stack running smoothly and marketers unblocked.

Establish and share best practices, playbooks, and standards that raise the bar on how the organization uses its Mar Tech investments.

Drive innovation with Mar Tech tools - continuously surfacing new ways to generate value for the business.

Lead the adoption and value-realization agenda - measurably increasing platform adoption and ensuring every Mar Tech investment delivers a clear return.

Partner closely with Release Train Engineers (RTEs) and Scrum Masters to ensure Program Increment (PI) planning is executed on cadence and commitments are met.

Translate roadmap priorities into well-formed epics, features, and backlogs - keeping delivery aligned to business value and dependencies managed across teams.

Instill agile ways of working - transparency, iteration, and continuous improvement - across the AI and enablement teams.

M entor, and develop a high-performing team spanning AI product, prompt engineering, AI business analysis, and Mar Tech enablement.

Set clear goals, coach for growth, and cultivate a collaborative, innovative, data-driven culture that values continuous learning.

Manage a blend of employees and contract specialists and oversee vendor and partner relationships - optimizing tool and API integrations and holding partners to quality, timeline, and value standards.

Translate complex AI and technical concepts into clear business language for senior leadership and cross-functional partners.

Provide regular status updates, adoption metrics, and ROI analyses that make the value of AI and Mar Tech investments visible.

Operate as a trusted partner across Marketing, Analytics, Technology, and the broader enterprise, aligning work to shared priorities.

Align to enterprise standards by partnering with the Enterprise Data & AI Office to keep responsible AI/ethical practices consistent with enterprise policies and frameworks.

10 + years of progressive experience in Mar Tech / marketing technology product management, AI-ML enablement, or digital marketing platforms, including team leadership.

Proven track record putting AI or automation into production in a business setting - from use‑case identification through deployment and adoption.

Deep, hands‑on knowledge of the modern Mar Tech stack (e.g., Adobe Experience Platform, Marke