Sr. Ad Tech Consultant, Ad Tech Solutions (ATS)
Amazon · London, England ·
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Overview
In dieser Rolle unterstützen Sie europäische Kunden, insbesondere das UK, bei der Umsetzung von Amazon Ad Tech-Lösungen, inklusive DSP, AMC und AWS-Integrationen. Sie leiten technische Diskussionen, Workshops und Architektur-Designs, um Geschäftsergebnisse zu steigern. Sie arbeiten eng mit Vertrieb, Data Analysts und Engineering-Teams zusammen, um Adoption zu beschleunigen, Daten-Analysen zu ermöglichen und kundenzentrierte Lösungen zu liefern. Ihre Expertise prägt Roadmaps und Best Practices in der Ad Tech Community.
Responsibilities
- Educate customers on the value proposition of Amazon Ad Tech Suite and participate in deep technical discussions and design exercises
- Lead data and analytics discussions and design customer workshops to align with technical needs and business goals
- Drive usage and adoption, delivering insights that inform smarter investments on and off Amazon media properties
- Be a customer advocate and feed learnings into integration and ad tech roadmaps with Advertising engineering teams
- Contribute to creating and delivering best practices, packaged offerings, certification paths, white papers, and workshops
- Travel to client locations as needed to deliver engagements
Key requirements
- Bachelors degree, or experience in a professional field or military
- Extensive experience in ad tech, marketing technology, or a related field with a track record of delivering complex technical solutions for enterprise customers
- Proven experience in a solutions engineering or consulting role, including leading client-facing engagements with large, complex enterprise organizations
- Demonstrated expertise in technical solution design and architecture
- Experience managing complex, large-scale projects involving multiple stakeholders
- Hands-on experience with analytics platforms and databases (e.g., SQL, NoSQL, data analytics tools)
- customer-obsessed
- leadership in cross-functional collaboration
- effective communication with technical and non-technical stakeholders
- telemetry and data analytics
- SQL and NoSQL databases
- data integration and API design
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