Amazon Web Services (AWS)

Ready to Hire Evaluation Analyst - Data Center Learning

Amazon Web Services (AWS)

Dublin, County Dublin, Ireland · Full Time

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Experience
Any
Salary
—
Openings
1
Posted
10 seconds ago
Work mode
In office
Education
Bachelor's degree in engineering, computer science, or equivalent
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Job description

Role Overview

The Amazon Web Services (AWS) Data Center Learning (DCL) team seeks a Ready to Hire Evaluation Analyst to join the expanding evaluation function within Learning Operations. This role focuses on assessing the effectiveness of various Data Center Learning initiatives globally, transforming raw data into actionable recommendations that guide investment decisions and workforce development strategies. This position plays a crucial part in evolving the team from measuring activity to assessing real impact and conversion throughout the data center workforce pipeline.

Primary Responsibilities

  • Oversee the full evaluation lifecycle for Data Center Learning programs: define success metrics, monitor progress, and produce comprehensive analysis reports that inform investment decisions across different regions.
  • Establish baseline performance of current initiatives, detect gaps, and present data-backed suggestions to stakeholders to strategically identify talent pipelines and minimize risks affecting timelines and goals.
  • Leverage internal Amazon analytics platforms and generative AI tools to generate insights, automate the reporting process, and enhance evaluation methodologies continuously.
  • Collaborate with internal teams across customer success, Talent Acquisition, and builder readiness to align evaluation outputs with overall workforce development objectives, driving improved conversion rates.
  • Effectively communicate findings and strategic trade-offs to program leads and senior leaders to remove roadblocks and facilitate timely decision-making that ensures progress of improvement efforts.

Work Environment and Team

Your typical day starts with reviewing updated data from ongoing evaluations, recognizing patterns or issues requiring attention followed by collaborative discussions with Talent Acquisition and readiness teams to align strategies and follow-up actions. Your role demands a balance of independent analysis and presentation of recommendations in cross-functional meetings. You will proactively define evaluation goals and performance standards with autonomy, contributing to forming a rare and essential capability within the industry. The Data Center Learning team, part of AWS Infrastructure Services, is dedicated to building an exceptional data center workforce through innovative learning experiences and career path development. The team values independent ideas and provides flexibility to shape your role.

Commitment to Diversity and Inclusion

AWS values diverse professional backgrounds and encourages all applicants to apply, even if all preferred qualifications are not met. Unique career journeys and alternative experiences are welcomed and considered.

Benefits and Culture

  • Inclusive workplace culture promoting curiosity and learning, supported by employee-led affinity groups and ongoing diversity events.
  • Access to continuous mentorship, knowledge sharing, and comprehensive resources for professional growth.
  • Work-life balance focus with flexible working culture fostering harmony between professional and personal life.

Basic Qualifications

  • Experience in technical product or program management roles.
  • Proficiency in project management disciplines including scope definition, schedule planning, budgeting, quality control, and risk/critical path management.
  • Track record managing cross-functional programs, process creation, and coordinating release schedules.

Preferred Qualifications

  • Experience managing technical programs involving multiple cross-team collaborations.
  • Bachelor’s degree in engineering, computer science, or related equivalent qualifications.

Equal Opportunity and Privacy

Amazon is dedicated to equality and pursues hiring decisions grounded in skills and experience, fostering a diverse workforce. Candidate privacy and data security are priorities, and accommodations are available during hiring processes upon request.

Minimum education

Bachelor's Degree

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