Business Systems Integration Specialist

2 weeks ago


Sunnyvale, California, United States Google Full time
About the Role

At Google, we're pushing the boundaries of innovation and technology. As a Business Systems Integration Specialist, you'll play a critical role in removing roadblocks that hinder our progress.

Our team identifies time-consuming internal processes and builds reliable, scalable solutions to streamline our operations. You'll listen to and translate Googler needs into technical specifications, design and develop recommended systems, and consult with Google executives to ensure smooth implementation.

Whether battling large system processes or leveraging our homegrown suite of Google products, you'll help Googlers work faster and more efficiently.

In this role, you'll help deliver connected data solutions to meet the data needs of Googlers while elevating the overall data maturity of Google's Enterprise Data.

Through your domain expertise, you'll lead and influence projects to drive data management and investigative solutions for our business partners across corporate functions.

Responsibilities
  1. Take ownership of projects, track and maintain progress, mitigate risks, manage unpredictability, and keep teams and clients updated.
  2. Work with stakeholders and users to gain insights into business problems, processes, and applications to provide sustainable solutions with strategic impact.
  3. Collaborate with Engineering teams to define, design, build, deploy, and support various solutions to systems, software products, and internal transformative programs and processes.
  4. Define the data architecture framework, standards, and principles, including modeling, metadata, security, and reference data.
What You'll Need

Experience in designing and implementing systems, building integrated systems throughout the entire lifecycle, and implementing Analytics and Reporting solutions like Data Warehousing and Business Intelligence.

Experience working with third-party data-centric Enterprise Resource Planning (ERP) applications, advanced analytics solutions involving Machine Learning (ML) and statistical analytics, and one or more data management practices like Data Integration, Data Security, Metadata Management, Data Governance, and Data Quality.

Excellent technical process analysis skills to translate business requirements into comprehensive solution architecture.



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