Director AI Product & MarTech Enablement

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 & MarTechEnablement,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 AIacross 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 capabilitiesthat 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 standardsthat 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.

SUPPORTDISCIPLINED AGILE DELIVERY

• Partner closely with Release Train Engineers (RTEs) and Scrum Mastersto 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, anddevelop a high-performing teamspanning AI product, prompt engineering, AI business analysis, and MarTech enablement.

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

• Manage a blend of employees and contract specialistsand 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 languagefor senior leadership and cross-functional partners.

• Provide regular status updates, adoption metrics, and ROI analysesthat make the value of AI and MarTech investments visible.

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

• Align to enterprise standardsby 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 /SAFeenvironment — 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 practices and data-protection regulations (e.g., GDPR, CCPA).

• Product management credentials a plus.

• Experience managing vendors and optimizing API and tool integrations across a marketing technology ecosystem.

EDUCATION

• Bachelor's degree in a relevant field — computer science, data science, marketing, business, engineering, or related; an advanced degree is a plus.

The Ideal Candidate

• A builder and an operator— turns emerging AI capability into working products and reliable platform operations.

• A value translator— connects tools and models to adoption, business outcomes, and ROI.

• An enabler— makes everyone around them better at using MarTech and AI.

• A disciplined delivery leader— thrives on agile cadence and gets PI commitments shipped.

• A responsible innovator— pushes the frontier while keeping AI transparent, compliant, and trustworthy.

• A communicator— makes the complex clear for any audience.

How Success Is Measured

• Adoption and active usage of MarTech platforms and AI tools across marketing.

• Value realization — measurable business impact and ROI from MarTech and AI investments.

• Speed and reliability of AI product delivery from concept to production.

• Consistency of PI planning execution and on-cadence delivery.

• Health, capability, and engagement of the team.

Work Arrangement

This is a full-time, hybrid role based in Newark, NJ. The successful candidate is expected to work onsite at the Newark office three (3) days per week, with flexibility to work remotely for the balance of the week.