Senior Manager, Marketing Tech Enablement
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Job Description
Senior manager architecting CDW’s marketing automation, cloud integrations, and AI enablement. Leading martech teams and governance for a technology solutions provider.
Responsibilities:
- Define end-to-end architecture for marketing automation, data, and AI platforms and integrations
- Translate business needs into technical specifications, reference architectures, and solution designs
- Own platform intake, triage, prioritization, and resolution for 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
- Architect cloud-native integrations and scalable batch, streaming, and real-time ingestion pipelines
- Establish monitoring, logging, observability, alerting, security, and governance standards
- Maintain platform health across Marketo, Salesforce Marketing Cloud, Salesforce CRM, AEP/RTCDP, Monday.com, and analytics tools
- Govern documentation, configurations, integrations, automations, releases, data lineage, and API documentation
- Operate AI governance covering approved use, data classification, disclosure, bias review, audit trails, and automated decisioning
- Oversee vendor technical deliverables and feature roadmaps
- Own feature lifecycle from requirements through prioritization, solutioning, QA, rollout, and change management
- Maintain the marketing technology and AI roadmap
- Build, mentor, and develop the marketing technology team
- Grow team AI fluency and drive adoption among cross-functional partners
- Manage technical capacity, resource allocation, integration demand, budgets, and investment cases
- Oversee martech and AI implementations through benefit realization
- Champion composable architecture, API-first design, and reusable services
- Lead AI and machine-learning pilots through production
- Represent marketing technology with vendors, partners, and industry peers
- Define AI use cases for campaign planning, personalization, decisioning, and analytics
- Design AI-assisted workflows with human review points and governed knowledge sources
- Partner with Legal, Privacy, Brand, and Security on AI requirements
- Support workflow standards, documentation, and AI training
Requirements:
- Bachelor's degree in Information Systems, Computer Science, Engineering, or 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 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
- Willingness to travel up to 10%
- Experience with agentic workflow platforms, multi-agent orchestration, or production marketing copilots is a plus
- Familiarity with Azure AI, AWS Bedrock, and 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 content supply chains, 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 are a plus
- Hands-on generative or predictive AI experience in marketing or customer engagement, including prompt design, retrieval grounding, and output evaluation, is a plus
- Familiarity with AI governance practices is a plus
Benefits:
- Annual bonus target of 15% subject to terms and conditions of plan
- Benefits package (benefits overview linked)
- Remote work arrangement
- Professional growth and continuous learning support
- AI learning and fluency development
- Collaborative, equitable, transparent, and respectful work environment
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