Technology Practice Lead, Data Analytics

7 days ago

Singapur, Singapore Google Full time

Technology Practice Lead, Data Analytics

Google is seeking a Technology Practice Lead, Data Analytics in Singapore. Applicants with a current right to work in Singapore are prioritized.

Job Summary:
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

Responsibilities:

  • Build, lead, and inspire a geographically distributed, virtual team of Data Analytics specialists that provide deep technical expertise for the customers.
  • Collaborate with product management and solution management on ideation, incubation, and scale out of Data Analytics products and solutions.
  • Represent APAC customers, partners, and field to influence a data-motivated goal and direction for Technology, Solutions, and Use Case development at Google Cloud.
  • Mentor and develop Google account teams on value promoting for Data Analytics solutions.
  • Partner with the Customer Engineering leader, Product leaders, Business strategy, and executive leadership to ensure solutions alignment with engineering, product priorities, and go-to-market priorities.

Minimum Qualifications:

  • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
  • 10 years of technical, customer-facing experience in the enterprise space, with a focus on data platforms, data warehousing, or analytics.
  • 8 years of experience leading and managing a technical, customer-facing team.

Preferred Qualifications:

  • Experience in architecting and leading the delivery of data transformation projects for enterprise customers.
  • Experience in developing and growing C-level relationships, acting as a trusted technical advisor, delivering technical pitches to the C-level and Board.
  • Understanding of the modern Data and Artificial Intelligence (AI) landscape, including Data Governance, Lakehouse and Data Mesh architectures, real-time streaming analytics, and the application of Generative AI, Vector Databases, and Data Agents to solve enterprise data tests.
  • Ability to lead through influence; collaborating effectively across organizational boundaries to build relationships and consensus across geographically and culturally various teams.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

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