Find Program security engineer Jobs in Dublin, D

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Capacity Planning Manager, CDP EMEA

Amazon Data Services Ireland Limited -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

Power BI
Data modelling
Business intelligence
Business analysis
Tableau
AWS
Cloud computing
Predictive analytics
Data visualisation
Leadership
Analytics

Full job description

DESCRIPTION

The AWS Infrastructure organization is looking for a results-oriented, BI focused, capacity planning leader . Based in our Dublin offices, data center capacity planning owns the supply plan for data center power and space in response to the customer forecasts. We own initiatives to model and improve the utilization of our power, cooling and space infrastructure in our data centers so that we are generating capacity at the lowest possible cost and delivering for customers.

In this role you will work closely with demand planning, finance, construction, and software development and global program management teams to deliver high quality and robust capacity planning processes and strategies, with favorable business outcomes. You will identify defects or waste in our planning processes, and drive new processes and automation steps to eliminate the defects and prevent them from recurring without posing risk to availability.

In this role you will;

Take large, complex projects and break them down into manageable pieces
Clearly communicate goals, roles, responsibilities, and desired outcomes to internal cross-functional and remote teams
Be responsible for end-to-end program delivery of process improvement projects and data modelling exercises
Support continuous process improvement through leading workflow updates, documenting & implementing lessons learned and sharing knowledge across delivery teams to ensure EMEA wide efficiency improvements
Regularly report to senior leadership on status of key project metrics vs. commitment of your projects.

Our Capacity Planning Managers work in collaborative, cross-functional environments and work backwards from the needs of internal and external customers to create solutions that work for upstream and downstream teams as well as data center capacity planning. They are part of high functioning teams and are committed to process improvement and analyzing large data sets to communicate clear and concise insights.

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
Design and maintain BI dashboards for data center capacity planning and utilization
Develop predictive models for power, cooling, and space requirements using QuickSight/Tableau
Create automated reporting systems for capacity vs. demand analysis
Lead cross-functional data initiatives spanning infrastructure planning and business intelligence

About the team
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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 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.

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.

BASIC QUALIFICATIONS

Experience as a business analyst, data analyst, or in a statistical analysis role
Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages
Experience working in data centers or critical infrastructure
Experience conducting sophisticated and creative analysis of complex data and translate the results into actionable deliverables, messages, and presentations

PREFERRED QUALIFICATIONS

Experience analyzing data and creating reports for leadership
Experience in business intelligence and analytics
Data center or cloud infrastructure experience
Advanced analytics or machine learning capabilities

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 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.

Apply Now

Refine Your Search

program security engineer jobs in dublin, d

Capacity Planning Manager, CDP EMEA

Senior Software Development Engineer, AWS RDS SQL Server

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Lead Software Engineer

Senior Reference Data Associate - Nordic Language Requirement

Sr. Network Engineer

Senior Application Security Engineer

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Build the Future of AI with Us – Dublin (Hybrid)

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Senior Lead – VOIP Engineer

Java Software Engineer (AVP)

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Principal Information Security Engineer - Blockchain Technology

Technical Escalations Engineer 2 (Agent) - Dublin

Senior Reliability Maintenance Engineering Technician, RME

Critical Infrastructure Fire Protection Engineer (Field Engineering), Data Center Engineering

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