Responsibilities

• Assess the current MarTech landscape and identify gaps, redundancies, and modernization opportunities across CDP, CRM, Loyalty, Campaign Orchestration, and Paid Media platforms.
• Develop architecture blueprints and capability roadmaps that align MarTech investments with business outcomes.
• Provide guidance on composable MarTech patterns, API-first integrations, and data flow design across marketing platforms.
• Advise on AI-powered marketing use cases including predictive segmentation, next-best-action, personalization, and content automation.
• Partner with Marketing, Engineering, and Data teams to evaluate vendors, define integration patterns, and support platform decisions.
• Contribute to architecture reviews and governance for MarTech investments and platform consolidations.
• Produce clear documentation — architecture diagrams, decision frameworks, and recommendations — aligned to team standards.

Requirements

• 10+ years of experience in MarTech or digital marketing architecture.
• Hands-on experience across:
• Customer Data Platforms (CDPs) and Identity Resolution
• CRM, Loyalty, and Lifecycle Marketing platforms
• Campaign Orchestration tools (e.g., Salesforce Marketing Cloud, Adobe, Braze, Zeta)
• Paid Media ecosystems — DSPs, Clean Rooms, Audience Management, and Attribution
• Content Management, DAM, and Content Supply Chain platforms
• Strong knowledge of cloud-native, API-first, and event-driven integration patterns.
• Experience with AI/ML applied to marketing — personalization, propensity modeling, and audience intelligence.
• Retail, CPG, or DTC brand experience strongly preferred.

Preferred

• Familiarity with Agentic AI or LLM applications in marketing automation or customer engagement.
• Experience with marketing measurement frameworks (MMM, MTA, incrementality testing).
• Exposure to composable MarTech and MACH architecture principles.