Martech & AI Architect
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![]() United States, Washington, Redmond | |
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OverviewAs a Martech & AI Architect, you will be a strategic leader responsible for designing and evolving the architecture of our global MarTech ecosystem. You will partner across marketing, engineering, and data science teams to deliver scalable, compliant, and innovative solutions that power audience-centric marketing, accelerate campaign velocity, and enable AI-driven personalization. This role is critical to advancing our Adobe platform strategy, GenAI Center of Excellence, and marketing automation capabilities. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
ResponsibilitiesArchitectural Leadership: Define and maintain the end-to-end architecture of the MarTech stack, including Adobe Experience Cloud (Adobe Experience Manager (AEM), Real-time Customer Data Platform (RTCDP), Marketo), Signal Flow, and GenAI platforms.Platform Strategy & Roadmapping: Collaborate with marketing and engineering leadership to align platform capabilities with business goals, including roadmap development for Adobe Cloud and GenAI solutions.Build and govern Application Programming Interfaces (APIs) and connectors across MarTech and data platformsServe as MarTech platform resource for platform onboarding, internal training, and cross-functional design workshopsSupport overall strategy by translating technical roadmaps into business-facing solutions for leadership discussionsAI & Automation Enablement: Partner with the GenAI Center of Excellence (COE) to integrate AI/Machine Learning (ML) models (e.g., Next Best Action, Account-Based Marketing (ABM) Recommendations) into marketing workflows and content generation.Data Governance & Compliance: Ensure all implementations meet enterprise data standards, privacy regulations, and responsible AI principles.Cross-Functional Collaboration: Serve as a bridge between marketing, IT, and analytics teams to ensure seamless integration, operational efficiency, and platform adoption.Innovation & Optimization: Lead initiatives to reduce platform operating costs, improve Service-level Agreement (SLA) performance, and enhance user experience through automation and simplification.Embody our Culture and Values |