Minimum qualifications:

• Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
• 8 years of experience designing and implementing systems.
  
• 8 years of experience building integrated systems throughout the entire lifecycle (e.g., analyze, design, build, test, implement, and support).
  
• Experience in implementing Analytics and Reporting solutions like Data Warehousing, Business Intelligence etc.
  

Preferred qualifications:

• Experience in creating and scaling new opportunities to improve domain critical Key Performance Indicators (KPI).
  
• Experience working with and influencing cross-functional leaders to define requirements and manage technical portfolios.
  
• Experience with third-party data centric Enterprise Resource Planning (ERP) applications within Finance, Supply Chain, HR, Marketing etc.
  
• Experience working with advanced analytics solutions involving Machine Learning (ML) and statistical analytics.
  
• Understanding of 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.
  

At Google, we work at lightning speed. So when things get in the way of progress, the Business Systems Integration team steps in to remove those roadblocks. The team identifies time-consuming internal processes and then builds solutions that are reliable and scalable enough to work within the size and scope of the company. You listen to and translate Googler needs into high-level 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 for Googlers themselves, you help Googlers work faster and more efficiently.

In this role, you will 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 will lead and influence projects to drive data management and investigative solutions for our business partners across corporate functions. An innovative, creative mindset is welcome as we seek out new ways to solve problems across multiple Google business areas.

At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. With an inclusive mindset, we deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.

The US base salary range for this full-time position is $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Take ownership over projects, continue to track and maintain progress, mitigate risks, manage unpredictability, keep teams and clients updated, and manage stakeholders and escalations, coordinate testing, and work with Engineering teams to deploy applications all the way to launch. 
• Work with stakeholders and users to gain insights into business problems, processes, and applications to provide sustainable solutions with strategic impact through building business applications, delivering systems enhancements, and designing solutions to automate and scale business operations. 
• Collaborate with Engineering teams to define, design, build, deploy, and support various solutions to systems, software products, and internal transformative programs and processes. 
• Define the data architecture framework, standards, and principles, including modeling, metadata, security and reference data.
  
• Define reference architecture that others can follow to create and improve data systems.