Responsibilities

• Lead AI Solutions & Platform and Tools: Own the AI roadmap and intake process for Marketing, Creative and Communications; drive production-grade AI solution development across org-wide infrastructure, team-level products, and individual workflows, with every initiative shipping with a full adoption plan
• Lead the Platform & Tools team, which owns and evolves the marketing sites platform and the full Marketing, Creative and Communications tools ecosystem; the team has established intake, governance, vendor operations, and cross-functional processes across Engineering, Legal, IT, and Security, and your role is to lead them forward
• Set the operating model, culture, and prioritization framework across your teams, managing full-time technical talent alongside offshore agency engineering partnerships.
• Own & Evolve the MarTech Stack
• Own the end-to-end strategy, technical selection, and system integration of a broad marketing tech ecosystem (CRM, MAP, CDP, DAM, social management, and campaign tooling). Focus on system connectivity, API orchestration, and platform uptime, activating data pipelines managed by Data Science teams.
• Oversee event-tracking and media enablement infrastructure (including server-side tagging/GTM, CAPI, and conversion pixels), navigating shared codebases with Product, Security, and Engineering.
• Continuously assess and evolve the stack to ensure it reflects the future of marketing technology: integrated, scalable, and built to support the organization as it grows
• Manage the full vendor lifecycle: contract negotiations, renewals, license optimization, and performance management, with a clear view of total cost of ownership across the ecosystem
• Own the marketing technology budget and investment strategy, applying a disciplined build vs. buy vs. expand framework to every decision; know when to invest in something new, when to consolidate, and when to get more out of what already exists
• Partner with Legal and Security on data privacy, compliance, and tool governance to ensure the stack meets regulatory requirements across all markets

Requirements

• Seniority and scope: minimum of 10 years of technical leadership experience (with Director-level scope) building, configuring, and integrating enterprise MarTech systems (CRM, MAP, CDP, DAM) in environments where you defined the stack.
• Education and experience: Bachelor’s degree in a relevant field such as Computer Science, Software Engineering, Information Technology, or Computer Engineering, or equivalent experience.
• Technical & Platform Command: Solid background in API integrations, web platform architecture, server-side tracking , CMS ecosystems, and modern delivery practices (CI/CD, agile execution).
• Hands-on marketing expertise: worked directly in or alongside marketing organizations; a genuine partner to marketers across brand, performance, lifecycle, and communications, not a technology vendor to them
• Hands-on AI implementation: integrated AI and LLMs (OpenAI, Gemini, Anthropic) directly into marketing stacks, including CRM automation, lifecycle triggers, predictive segmentation, and campaign optimization; AI tooling alongside the stack does not qualify
• Agentic AI systems: designed and deployed multi-agent AI workforces that automate operational processes: intake routing, brief generation, workflow orchestration, and cross-functional coordination
• Data Science Partnership: Strong experience collaborating with Data Science/Engineering teams, understanding how to integrate and activate their data models within marketing execution platforms.
• Player-coach: coaches and develops people, still builds when needed, and embeds a culture of learning across the organization, not just for individuals
• Industry thought leadership: brings a recognized external perspective on MarTech and AI; contributes to how the industry thinks, stays ahead of trends, and applies that lens internally
• Technical command: strong grasp of web platform architecture, API integrations, CMS ecosystems, and modern delivery practices (CI/CD, agile, sprint-based execution)