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Customer success engineer, data center learning

Berlin
Amazon
Ingenieur
Inserat online seit: 20 Januar
Beschreibung

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, weu2019re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, and weu2019re looking for talented people who want to help. Youu2019ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. Youu2019ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Based in Berlin, Germany and reporting to the Manager of Customer Success for APMEA and EURI, the Customer Success Engineer (CSE) will help deliver both internal and external education and training programs. The CSE will collaborate externally with local training institutions, third level educational institutions such as universities and community colleges, local and upper secondary education institutions and providers of vocational training with the goal of creating long term local talent pools. Internally the CSE will collaborate with global colleagues on the Data Center Learning team as well as cluster leadership, Public Policy, Public Relations and Community Engagement specialists, to help create the educational and training mechanisms required to deliver the required talent, training and skills at the right time, in the right location at the right level is to support the operational growth of the cluster. As a CSE you are the day-to-day voice of Data Center Learning to your internal and external customers, and also the voice of the customers and will represent their needs back into Data Center Learning. You will track key metrics for your clusters, ensure data accuracy, assist in the reporting of these metrics as required, and within Data Center Learning you are the owner of training metrics for your clusters. Key job responsibilities - Strategic Planning & Development. In conjunction with local AWS partners, you will develop and execute comprehensive education, pre-skilling and talent pipeline and training readiness strategies aligned with AWS business objectives. Forecast future skill requirements and design programs to meet emerging needs. Build scalable frameworks for program expansion across regions, to align training and development initiatives with AWS's growth trajectory. - Program Design & Implementation. Design innovative training programs that bridge identified skill gaps. Work with internal partners to create measurable learning pathways for data center operations careers. Implement blended learning solutions incorporating classroom,virtual, and hands-on training. Develop frameworks that support progressive career pathways for your cluster. - Stakeholder Management & Alliance Building. Build and maintain strategic relationships with key stakeholders across educational institutions, government agencies, and industry partners. Support expansion into new locations by engaging with cluster leadership early and helping them build their training program as the cluster prepares to launch and expand. Facilitate collaboration between multiple stakeholders to achieve program objectives. Manage complex partner relationships and expectations. Create governance structures for multi-stakeholder initiatives. Develop and maintain executive-level relationships with partner organizations. - Performance Measurement & Analytics: Establish KPI frameworks for DC Learning education and training programs. Implement data collection and analysis processes. Track program effectiveness and return on investment. Conduct regular program assessments and adjustments. Create reporting frameworks for various stakeholder groups. - Innovation & Continuous Improvement: Research and implement best practices in workforce development. Leverage data analytics to drive program improvements. Identify and test new approaches to talent development. Scale successful initiatives across regions A day in the life About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnu2019t followed a traditional path, or includes alternative experiences, donu2019t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the worldu2019s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating u2014 thatu2019s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth Weu2019re continuously raising our performance bar as we strive to become Earthu2019s Best Employer. Thatu2019s why youu2019ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications - Bacheloru2019s degree in Electrical/Mechanical Engineering or equivalent experience - Bilingual in English and German (written and spoken) - Experience managing training, qualification, or certification programs and proven track record in program development and measurement - A technical background with some Data Center experience - Experience developing and delivering presentations to large and diverse audiences Preferred Qualifications - Strong quantitative and analytical skills, with the ability to use data and metrics to understand and report on programs/projects, and to drive necessary actions. - Basic Knowledge of adult learning principles and instructional design - Experience with educational technology, learning platforms and developing talent pipelines and career pathways - Basic knowledge of the Data Center Learningu2019s learning management systems (LMS) & Learn. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy\_page ) to know more about how we collect, use and transfer the personal data of our candidates. m/w/d Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.

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