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P&G facilitates your search via TalentBrew, a job matching tool developed by TMP Worldwide. TalentBrew uses the LinkedIn application to extract job relevant information from a user’s LinkedIn profile (name, email, city, experience, education, skills & endorsements, recommendations, accomplishments and interests). P&G processes your data pursuant to its Candidate Privacy Notice.

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 “I laid the foundation for P&G’s cybersecurity”

Eduardo, IT Integration

My career at P&G began with a six-month internship. My project involved analyzing applications within manufacturing and making recommendations such as decommissioning and streamlining duplicate apps. The more critical area of my work was identifying applications that needed stronger security controls because they held important company data. This project formed the foundation that major cybersecurity efforts were subsequently built on.

Right now, I’m an IT integration expert within manufacturing. I’m responsible for creating data plans for different software applications to enable real-time data integration. My work varies depending on what engineers need from their applications. One day I could be using web service integrators because an app deals with web services, and the next I could be using innovative middleware technologies to integrate legacy applications with modern ones.

I was recently certified in Dell Boomi, which is the middleware we use as our integration platform for cloud applications. We’re currently in the beginning stages of a huge move to the cloud and are establishing our cloud infrastructure, which is why I decided to specialize in Dell Boomi—and why P&G supported my training and development in this area.

One concept project that we’re running uses SAP HANA, which is an innovative database technology. P&G has one of the biggest SAP landscapes across the world and is leading the way on a lot of SAP topics. Part of the project is to deliver a predictive model that is going to radically change the way that the plant floor works. The model will predict machine downtime so that operators can address problems in advance and avoid them. Reducing downtime is one of the biggest cost-saving opportunities that we have in the plant, and this model has the potential to save P&G millions of dollars. That’s the kind of impact you can make at P&G in IT.

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