Director, AI Product & MarTech Enablement

Director, AI Product & Mar Tech Enablement

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.

• SET THE AI PRODUCT VISION AND ROADMAP
  • 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.
• DELIVER AI PRODUCTS FROM CONCEPT TO PRODUCTION
  • 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).
• DRIVE MARTECH ENABLEMENT, ADOPTION, AND VALUE REALIZATION
  • 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.
• SUPPORT DISCIPLINED AGILE DELIVERY
  • 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.
• BUILD AND LEAD THE TEAM
  • Mentor, 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.
• ENGAGE STAKEHOLDERS AND COMMUNICATE IMPACT
  • 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.