Sr Manager , MarTech (Marketing Tech Enablement)

CDW • Chicago, IL

13d • $143,000 - $199,800

About The Position

The Senior Manager, Marketing Technology Enablement serves as the technical architecture authority for marketing automation and CDW’s marketing technology ecosystem. The role owns platform intake, triage, and the ongoing health of the martech estate, partnering with IT, Data, and Security to ensure scalable system design, stable integrations, and a proactive feature-development roadmap.

The position focuses on platform and integration architecture: designing, implementing, and governing API-driven, cloud-native integrations across CDP, CRM, journey orchestration, analytics, and activation platforms, while leading the marketing technology team that builds and supports them. The role also enables the safe use of generative, predictive, and agentic AI by establishing the data foundations, integration patterns, and guardrails needed to move ideas from use case to production and measurable business impact.

The leader owns architecture, platform governance, operational health, roadmaps, technical capacity, resource allocation, and martech and AI budgets. They oversee implementations from business case through benefit realization, guide AI governance and pilots, manage vendor technical deliverables, and develop team capabilities. They also represent marketing technology with vendors, partners, and industry peers, and help cross-functional teams adopt martech and AI capabilities responsibly.

Requirements

• Bachelor’s degree in Information Systems, Computer Science, Engineering, or a related field and 7+ years of experience in marketing technology, CRM integration, or enterprise integration engineering; alternatively, 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 HTTP 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 and ability to make architectural and AI trade-offs clear to business leaders.
• Willingness to travel up to 10%.

Nice To Haves

• Experience with agentic workflow platforms, multi-agent orchestration, or marketing copilots running in production.
• Familiarity with enterprise AI platform services such as Azure AI or AWS Bedrock and with major model providers.
• Experience with Adobe Experience Platform, Salesforce CRM and Marketing Cloud, or comparable real-time orchestration tooling.
• Experience modernizing the content supply chain, including DAM and content operations workflows.
• Experience in an enterprise B2B or regulated environment with formal change control.
• Vendor certifications in Adobe, Salesforce, or a major cloud platform.
• Hands-on experience applying generative or predictive AI in a marketing or customer engagement context, including prompt design, retrieval grounding, and output evaluation.
• Familiarity with AI governance practices such as data classification, consent, disclosure, human-in-the-loop design, and bias review.

Responsibilities

• Define end-to-end architecture for marketing automation, data, and AI, ensuring platforms and integrations are reliable, scalable, and secure.
• 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.
• Architect cloud-native integration solutions and 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 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.
• 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; proactively escalate risks and maintain rollback plans for unexpected automation or AI behavior.
• Maintain system diagrams, data lineage, and API documentation as living artifacts.
• Operate AI governance covering approved use, data classification, disclosure, bias review, audit trails, and automated decisioning.
• Oversee vendor technical deliverables related to architecture, security, AI feature roadmaps, and model change notifications.
• 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 in prompt design, evaluation, and production model API workflows.
• Set priorities, capacity plans, and resource allocation, and drive adoption through clear guidance for cross-functional partners.
• Manage technical capacity, resource allocation, and integration demand.
• Oversee martech and AI implementations from business case through benefit realization; prioritize investments based on scalability, risk, cost, and expected return.
• Own platform, integration, licensing, and model usage budgets, and build business cases that quantify efficiency, quality, and revenue impact.
• 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.
• 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.
• Champion CDW’s vision of becoming an AI-fluent organization by modeling curiosity, encouraging responsible AI adoption, and fostering continuous learning.

Benefits

• Annual bonus target of 15%, subject to plan terms and conditions.
• Benefits information is provided through the linked benefits overview; specific benefits are not listed in the job description.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior