Director, AI Product & MarTech Enablement

About this role

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

The Opportunity  

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

The Director, AI Product & MarTech   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 MarTech 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 MarTech 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.  

What You'll Do:

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 MarTech 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 MarTech 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 MarTech investments.  

• Drive innovation with MarTech 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 MarTech 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  

• M entor, and   develop a high-performing team   spanning AI product, prompt engineering, AI business analysis, and MarTech 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 MarTech 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.  

What You Bring  

REQUIRED QUALIFICATIONS  

• 10 + years of progressive experience in MarTech / 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 MarTech stack (e.g., Adobe Experience Platform, Marketo, SFMC, CDP) and how to drive operational support, adoption, and value realization.  

• Practical fluency with applied AI for marketing — GenAI, prompt engineering, agentic/automation frameworks, and AI-driven decisioning and orchestration.  

• Experience operating in an agile /   SAFe   environment — partnering with RTEs and Scrum Masters and actively participating in PI planning and execution.  

• Strong stakeholder management, executive communication, and storytelling skills — able to translate technical concepts into business value and ROI.  

• Demonstrated ability to lead, mentor, and inspire technical and product teams within a matrixed organization.  

PREFERRED QUALIFICATIONS  

• Experience in financial services, insurance, or another regulated, data-sensitive industry.  

• Familiarity with responsible AI p

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