Data and Analytics Lead - Cloud Consulting

• Foster a positive team culture, through hiring, developing, and retaining a team with clear objectives, performance management, and career coaching.
• Manage and grow a team of data consultants and engineers focused on enterprise-wide modern data platforms.
• Recommend and document data migration and transformation paths required to successfully implement modern data platform solutions using best practices on Google Cloud.
• Drive the development of best practices and assets to support initiatives to scale expertise to accelerate implementations and cloud adoption.
• Oversee data portfolio delivery excellence and presales, exceptional customer satisfaction, and accurate estimation of customer outcomes.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 7 years of experience troubleshooting technical issues for internal/external partners or customers.
• Experience architecting, designing, and deploying distributed data processing systems with one or more open source technologies.
  
• Experience managing partners (e.g., channel partners, systems integrators, third-party developers).
• Experience using big data technologies (e.g. Hadoop, Spark, Hive) and database management systems (e.g. SQL, Apache).
  
• Experience in people management, including managing engineers or architects, and delivering technical data projects.

Preferred qualifications:

• MBA or Master's degree in Computer Science or Engineering.
  
• Experience in working with channel partners, systems integrators, and third party developers to deliver successful solutions.
• Experience leading IT implementations, IT support, deployments, and business development activities.
  
• Experience with relevant cloud technology, specifically in AI.
• Experience in implementing large-scale cloud or software projects in corporate environments.
• Experience programming in one or more languages (e.g. Java, Python, Go, or C++).

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As a Cloud Data Manager, you will lead a technical team that is an integral part of the broader Professional Services organization. You will work closely with the regional leadership team to accommodate the demand for skills, to provide technical leadership across the region, and to mentor a growing team. You will bring your demonstrated leadership acumen to a team responsible for ensuring the best experience for customers moving to Google Cloud. You are responsible for providing technical solutions, managing relationships with our customers' key stakeholders, and enabling our Google Cloud partners.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

• Bachelor’s degree or equivalent practical experience.
  
• 7 years of experience troubleshooting technical issues for internal/external partners or customers.
• Experience architecting, designing, and deploying distributed data processing systems with one or more open source technologies.
  
• Experience managing partners (e.g., channel partners, systems integrators, third-party developers).
• Experience using big data technologies (e.g. Hadoop, Spark, Hive) and database management systems (e.g. SQL, Apache).
  
• Experience in people management, including managing engineers or architects, and delivering technical data projects.