Sr Manager , MarTech (Marketing Tech Enablement)

What You Will Do

Strategic Technical Architecture & System Design

• Define the end-to-end architecture for marketing automation, data, and AI, ensuring reliable, scalable, and secure platforms and integrations.
• Translate business needs into technical specifications, reference architectures, and solution designs.
• Own intake, triage, prioritization, and resolution for platform requests, incidents, enhancements, defects, and AI use cases.
• Partner with IT and Data teams on data models, APIs, middleware, identity resolution, and infrastructure.
• Design and govern RESTful and event-driven APIs, including authentication, versioning, rate limits, error handling, and troubleshooting.
• Evaluate martech and AI platforms for integration maturity, transparency, data residency, and adoption complexity.

Cloud, Data & Integration Architecture

• Architect cloud-native integration solutions across AWS, Azure, or equivalent platforms.
• Design scalable batch, streaming, and real-time ingestion pipelines.
• Set monitoring, logging, observability, and alerting standards across integrations, automations, and AI services.
• Ensure secure, governed handling of PII, consent, and model-related data across all data flows.
• Own the identity and audience data model across CRM, CDP, and activation platforms.
• Assess technical debt, recommend re-architecture, and manage cloud, integration, and model consumption costs.

Operational Excellence & Governance

• Maintain platform health, performance, and governance across Marketo, Salesforce Marketing Cloud, Salesforce CRM, AEP/RTCDP, Monday.com, and analytics tools.
• Ensure documentation, configurations, integrations, automations, and releases follow consistent governance and version control.
• Monitor usage, security, and stability; elevate risks proactively and maintain rollback plans for unexpected automation or AI behavior.
• Maintain system diagrams, data lineage, and API documentation as living artifacts.
• Operate AI governance across approved use, data classification, disclosure, bias review, audit trails, and automated decisioning.
• Oversee vendor technical deliverables for architecture, security, AI feature roadmaps, and model change notifications.

Enablement & Technical Leadership

• Own the feature lifecycle from requirements through prioritization, solutioning, QA, rollout, and change management.
• Maintain a roadmap aligned to marketing strategy, business needs, enterprise technology direction, and AI data readiness.
• Translate technical architecture into clear documentation and executive-ready summaries.
• Build, mentor, and develop a high-performing marketing technology team.
• Grow team AI fluency, from prompt design and evaluation to production model API workflows.
• Set priorities, capacity plans, and resource allocation.
• Drive adoption by translating complex martech and AI capabilities into clear guidance for cross-functional partners.

Project, Capacity & Investment Management

• Manage technical capacity, resource allocation, and integration demand.
• Oversee martech and AI implementations from business case through benefit realization.
• Prioritize roadmap investments based on scalability, risk, cost, and expected return.
• Own platform, integration, licensing, and model usage budgets.
• Build business cases that quantify efficiency, quality, and revenue impact.

Thought Leadership & Continuous Modernization

• Champion composable architecture, API-first design, and reusable services.
• Stay current on API standards, cloud models, and the AI platform landscape.
• Lead AI and machine-learning pilots with clear success criteria and a path to production.
• Represent marketing technology with vendors, partners, and industry peers.

AI Enablement & Decisioning

• Partner with Marketing, Data, and IT to define where AI supports campaign planning, personalization, decisioning, and analytics.
• Maintain a prioritized AI use case backlog across segmentation, scoring, content, conversational experiences, next-best-action, and data hygiene.
• Design AI-assisted workflows with human review points and governed knowledge sources.
• Partner with Legal, Privacy, Brand, and Security on acceptable use, consent, disclosure, and review requirements.
• Support workflow standards, documentation, and training that build practical AI fluency.

What We Expect of You

• Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field with 7+ years of experience in marketing technology, CRM integration, or enterprise integration engineering, or 11+ years of equivalent experience in lieu of a degree.
• 3+ years designing and implementing RESTful APIs, including authentication, versioning, and governance standards.
• Strong understanding of protocols, JSON payload design, and event-driven architecture.
• Experience writing technical integration specifications.
• Working knowledge of Python, JavaScript/Node.js, or similar languages.
• Experience architecting cloud-native integrations using AWS or Azure.
• Familiarity with event streaming platforms such as ON24 and Cvent.
• Deep understanding of data modeling, identity resolution, and CDP architecture.
• Platform expertise across Adobe (AEP, Marketo, RTCDP, Target) and Salesforce.
• Proven leadership experience managing technical teams.
• Strong executive communication skills, with the ability to make architectural and AI trade‑offs legible to business leaders.
• Willingness to travel up to 10%.
• Experience with agentic workflow platforms, multi‑agent orchestration, or marketing copilots running in production, is a plus.
• Familiarity with enterprise AI platform services such as Azure AI or AWS Bedrock and with major model providers, is a plus.
• Experience with Adobe Experience Platform, Salesforce CRM and Marketing Cloud, or comparable real‑time orchestration tooling, is a plus.
• Experience modernizing the content supply chain, including DAM and content operations workflows, is a plus.
• Experience in an enterprise B2B or regulated environment with formal change control, is a plus.
• Vendor certifications in Adobe, Salesforce, or a major cloud platform, is a plus.
• Hands‑on experience applying generative or predictive AI in a marketing or customer engagement context, including prompt design, retrieval grounding, and output evaluation, is a plus.
• Familiarity with AI governance practices such as data classification, consent, disclosure, human‑in‑the‑loop design, and bias review, is a plus.

Pay range

Pay range: $143,000 - $199,800 depending on experience and skill set Annual bonus target of 15% subject to terms and conditions of plan

Benefits overview: Salary ranges may be subject to geographic differentials CDW is committed to being an AI-fluent organization

As a leader, you will champion and be accountable for our vision of becoming an AI-fluent organization. We expect leaders to model curiosity, encourage responsible AI adoption, and foster a culture of continuous learning. You don’t need deep technical expertise, but you should be comfortable exploring how AI can enhance strategy, decision‑making, and team performance. Your role includes guiding others in building confidence and capability with AI tools and practices, while promoting openness to experimentation and shared learning. Additionally, CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, our goal is to understand your experience, strengths, skills, and qualifications. As an AI forward company, we see AI not just as a tool, but as a catalyst for new ways of thinking, creating, and communicating. We encourage candidates to embrace an AI mindset, one that’s curious, adaptive, and ready to explore what’s possible. We welcome thoughtful use of AI to expand your perspective and elevate how you share your story, while ensuring your application remains rooted in your own background, judgment, and voice.

About Us

CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what’s possible through technology. What makes CDW different isn’t just what we do—it’s how we do it. At CDW we act as one—building trust, speaking candidly, and working together to achieve more. We play to win—focusing on what matters most and delivering for our customers. And we think forward—staying curious, moving fast, and continuously learning. We believe meaningful work happens when people feel supported, heard, and empowered to contribute. That’s why we think of ourselves as coworkers, not just employees—working together to solve complex challenges and deliver real impact for our customers and communities. As a full‑stack, full‑lifecycle technology partner, CDW brings deep expertise, strong relationships, and broad industry knowledge to help turn ideas into outcomes. When you join CDW, you become part of a collaborative environment where your work matters, your growth is supported, and your contributions help shape what’s next. Together, we deliver the full promise of what technology can do. Together, we Make Amazing Happen.

CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law. At CDW, we make technology work so people do great things. We are a leading multi‑brand technology solutions provider to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. Our coworkers across the globe are working together to bring technology to life for our customers by solving complicated IT business challenges, providing outstanding service, and orchestrating the technology landscape to optimize our customers’ performance.