Ready to Hire Evaluation Analyst, Data center learning

Amazon Web Services (AWS); Dublin; On-site; EUR 85,000 - 110,000; Full time

Job summary

Amazon Web Services (AWS) Data Center Learning (DCL) is seeking a Ready to Hire Evaluation Analyst to join our evaluation team within Learning Operations. You will assess the effectiveness of Data Center Learning programs across geographies, turning raw data into insights that shape investments and workforce growth.

This role shifts focus from activity volume to real impact and conversion rates. You will partner with TA, customer success, and builder readiness teams to ensure programs prepare

Qualifications

• Experience in technical product or program management.
• Experience in project management disciplines including scope, schedule, budget, quality, risk.
• Experience managing programs across cross-functional teams.

Responsibilities

• Manage the end-to-end evaluation program for Data Center Learning programs, defining success metrics, tracking progress, and delivering detailed analysis reports.
• Baseline current program performance, identify gaps, and surface data-driven recommendations to stakeholders who define pipeline identification strategies.
• Use AWS analytics tools and generative AI capabilities to build insights, automate reporting, and continuously improve evaluation methods.
• Partner with cross-functional stakeholders including customer success, TA, and builder readiness teams to align evaluation findings with broader workforce development goals and drive measurable improvements in conversion rates.
• Communicate findings and trade-off recommendations clearly to program leaders and senior stakeholders, clearing blockers and driving timely decisions that keep improvement efforts on track.

Skills

Technical PM experience

Program management

Cross-functional collaboration

Education

Bachelor's degree in engineering or computer science

Job description

Description

Are you curious about what makes talent programs truly effective? The Amazon Web Services (AWS) Data Center Learning (DCL) team is looking for a Ready to Hire Evaluation Analyst to join our growing evaluation team within Learning Operations. In this role, you will assess the effectiveness of Data Center Learning programs across multiple geographies, turning raw data into actionable insights that shape where we invest and how we grow our data center workforce. This is a new and rapidly expanding area for DCL — and your work will shift the organization from measuring activity volume to measuring real impact and conversion rates. You will partner with colleagues across the builder readiness continuum, customer success, and Talent Acquisition (TA) teams to ensure our programs are preparing the right candidates for our data centers worldwide.

Description

Are you curious about what makes talent programs truly effective? The Amazon Web Services (AWS) Data Center Learning (DCL) team is looking for a Ready to Hire Evaluation Analyst to join our growing evaluation team within Learning Operations. In this role, you will assess the effectiveness of Data Center Learning programs across multiple geographies, turning raw data into actionable insights that shape where we invest and how we grow our data center workforce. This is a new and rapidly expanding area for DCL — and your work will shift the organization from measuring activity volume to measuring real impact and conversion rates. You will partner with colleagues across the builder readiness continuum, customer success, and Talent Acquisition (TA) teams to ensure our programs are preparing the right candidates for our data centers worldwide.

Key job responsibilities

• Manage the end-to-end evaluation program for Data Center Learning programs, defining success metrics, tracking progress, and delivering detailed analysis reports that recommend where to invest across geographies.
• Baseline current program performance, identify gaps, and surface data-driven recommendations to stakeholders who define pipeline identification strategies, proactively mitigating risks to program timelines and outcomes.
• Use Amazon's internal analytics tools and generative AI capabilities to build insights, automate reporting, and continuously improve evaluation methods.
• Partner with cross-functional stakeholders including customer success, TA, and builder readiness teams to align evaluation findings with broader workforce development goals and drive measurable improvements in conversion rates.
• Communicate findings and trade-off recommendations clearly to program leaders and senior stakeholders, clearing blockers and driving timely decisions that keep improvement efforts on track.

A day in the life

You will start your day reviewing the latest data from ongoing program evaluations, identifying trends and areas that need attention. From there, you will move into collaborative sessions with TA partners and builder readiness stakeholders to discuss findings and align on next steps. Much of your week balances independent, heads-down analysis work with cross-team meetings where you present recommendations and help shape investment decisions. You operate proactively, setting the evaluation roadmap rather than reacting to requests, and you have the autonomy to define what good performance looks like for the programs you assess.

About The Team

The Data Center Learning team sits within AWS Infrastructure Services and is dedicated to developing a world-class data center workforce. We create learning experiences for new hires, build career development paths to grow internal talent, and experiment with new technology to improve how adults learn in a data center environment. Our evaluation function is young and growing fast — you will help shape a capability that is rare across the industry and central to how we prove and improve the value of our programs. You will be part of an inclusive, collaborative group that values independent thinking and gives you room to make the role your own as the team evolves.

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 in the cloud.

Basic Qualifications

• Experience in technical product or program management
• Experience in project management disciplines including scope, schedule, budget, quality, along with risk and critical path management
• Experience managing programs across cross functional teams, building processes and coordinating release schedules

Preferred Qualifications

• Experience managing technical programs across cross-functional teams, building processes and coordinating release schedules
• Bachelor's degree in engineering, computer science or equivalent

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. 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 you’re applying in isn’t listed, please contact your Recruiting Partner.

Company - Amazon Data Services Ireland Limited

Job ID: A10560256