Certification Specialist, AWS Data Center Learning
6 hours ago
The Amazon Web Services (AWS) Data Center Learning Team is looking for Sr. Certification Specialist who wants to be a part of building exciting and new offering for AWS Data Centers. Our infrastructure is rapidly changing and growing to adapt new technical solutions such as machine learning. To manage that growth effectively, Data centers need to have a reliable method of assessing the skills of their people and identifying gaps in skills coverage of their staff. Data Center Learning is developing a Certification program which will provide reliable assessments of work ready staff. You’ll play a key role in defining how these assessments work You will have an opportunity to apply your knowledge within behavioral psychology, organizational development, business analytics and data science. And above all, you will have passion for learning.
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re 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, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Key job responsibilities
- Based on the inputs from the Global Business Owners, develop a competency framework for a wide range of data center roles and define behavioural indicators for each competency
- Design or select assessment tools (e.g., behavioral interviews, psychometric tests, situational judgment tests) that accurately measure the defined competencies.
- Work with your peers on the Certification team to integrate skill-testing tools that can provide reliable and valid measurements into a coherent certification examination strategy
- Use statistical analysis to validate the assessments, ensuring they are reliable indicators of performance globally
- Collect and analyze assessment data to identify trends, gaps, and areas for improvement in assessment methods and workforce competencies
- Present insights to stakeholders with recommendations on organizational learning strategies
- Gather feedback from stakeholders, assessors, and participants to refine the assessment program regularly
- Monitor program impact and effectiveness, updating competencies or tools as organizational needs evolve
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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.- Degree in organizational psychology, data science or a related field
- 3+ yrs of experience in talent assessment or organisational development
- Experience in working with psychometric principles, job analysis techniques, and assessment tool validation
- Proficiency in data analysis tools amd experience in working with survey design and feedback mechanisms
- Outstanding analytical skills and an ability to interpret complex data and turn it into actionable insights
- Experience working within a critical industry for example data center
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.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/content/en/how-we-hire/accommodations.
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