Amazon Web Services, Inc.
Marketing PR, Marketing, Cloud Computing
DigitalOperationsManager,DCoEandMarTech
Neural analysis suggests this role is
optimal for Manager candidates.
“Digital Operations Manager, DCoE and MarTech at Amazon Web Services, Inc.. Skills: Marketing technology, Program management, Experimentation. Build internal tools. Maintain internal platforms”
Industry & Context.
Root cause analysis; Troubleshooting; Data-driven decision making
What They're Looking For.
Must Have
4+ years insights learning agendas, Build strategic marketing plans, Execute at tactical level, Build marketing campaigns, Optimize marketing campaigns, Manage cross-functional teams, Build cross-functional programs, Execute cross-functional programs, Scale cross-functional programs
Nice to Have
Multi-territory campaign management, Digital marketing experience, Content production timelines experience, Content production process experience
What You'll Do.
Maintain internal platforms
Centralize customer insights
Centralize experiment learnings
Centralize performance signals
Design experimentation programs
Drive experimentation programs
Define testing frameworks
Coordinate execution across channels
Coordinate dependencies
Keep stakeholders aligned
Identify automation opportunities
Automate marketing tasks
Build intelligent workflows
Reduce manual overhead
Improve speed-to-insight
Translate business requirements
Drive adoption of processes
Drive adoption of tools
Influence without authority
Iterate based on feedback
Communicate trade-offs
How You'll Work.
Team & Collaboration
Cross-functional stakeholders; Engineering teams; Data science teams; Marketing leads
Communication Scope
Communicate progress; Communicate trade-offs; Communicate outcomes
Process & Methodology
Scoping, Delivery, Timelines, Dependencies, Blockers
Full Job Description
We're looking for a hands-on marketing technologist who can bridge the gap between customer insights, experimentation strategy, and platform execution. This role sits at the intersection of marketing automation, data tooling, and program management. You'll own the design and delivery of internal tools and frameworks that turn fragmented research, experiment outcomes, and performance signals into structured, accessible, and actionable knowledge for the broader marketing org. Key job responsibilities • Build and maintain internal tools and platforms that centralize customer insights, experiment learnings, and performance signals into accessible, reusable formats for the broader marketing team. • Design and drive experimentation programs: define testing frameworks, structure hypotheses, coordinate execution across channels, and synthesize results into actionable recommendations. • Manage projects from scoping through delivery, defining timelines, coordinating dependencies, removing blockers, and keeping cross-functional stakeholders aligned. • Identify and automate repetitive day-to-day marketing tasks using AI-powered tools and no-code/low-code platforms — building intelligent workflows that save time without requiring deep technical expertise. • Partner with engineering, data science, and marketing leads to identify automation opportunities, reduce manual overhead, and improve speed-to-insight. • Translate business requirements into platform configurations, ensuring tools and systems reflect evolving marketing strategies. • Drive adoption of new processes and tools across teams — you'll need to influence without authority, train peers, and iterate based on feedback. Communicate progress, trade-offs, and outcomes clearly to both technical and non-technical stakeholders at multiple levels. Basic Qualifications: - 4+ years of development of insights learning agendas and working closely with an insights team to design, execute, and draw clear and compelling insight exper
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