Job ID:
| Amazon Data Services Ireland Limited
The Amazon Web Services (AWS) Data Center Learning Team is looking for a Sr. Certification Specialist who wants to be a part of building exciting and new offerings for AWS Data Centers. Our infrastructure is rapidly changing and growing to adapt to 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.
Above all, you will have a 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.
You'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Key job responsibilitiesBased on the inputs from the Global Business Owners, develop a competency framework for a wide range of data center roles and define behavioral 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.
BASIC QUALIFICATIONSDegree in organizational psychology, data science, or a related field.3+ years of experience in talent assessment or organizational development.
Experience in working with psychometric principles, job analysis techniques, and assessment tool validation.
Proficiency in data analysis tools and 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.
PREFERRED QUALIFICATIONSExperience 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.
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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.
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