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Product Technology Manager, Data Architecture and Engineering, gData

Google
Full-time
On-site

Minimum qualifications:

  • Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
  • Experience in product management around requirements gathering, roadmap planning, and execution.
  • Experience in technical troubleshooting, and managing internal/external partners or customers.

Preferred qualifications:

  • 3 years of experience in data products and technologies such as SQL, data warehousing, data architecture and data governance.
  • Experience identifying business needs, and defining or building data solutions to address business needs in a customer service environment.
  • Experience using AI technologies to augment, improve or automate the development process.
  • Experience in planning and managing several large-scale, complex technical projects to deliver quality results within the project deadlines.
  • Ability to collaborate, build consensus, and drive technical decisions with complex cross-functional stakeholder groups, involving both technical and non-technical audiences.
  • Excellent technical leadership, project management and problem solving skills.

About the job

gTech’s Analytics, Products and Tools team (gAPT) leverages deep user
insights and gen AI technology to improve or automate Google's Ads customer support experiences. gAPT partners closely with gTech’s Support, Professional Services, Product Management, and Engineering teams to simplify our Ads support products and build the productivity tools ecosystem for gTech users. We are leaders of the customer experience, advocating for big-picture visions, feature requests, and offering product improvements backed by data-driven insights. Our work enables gTech teams to deliver delightful support to our customers.

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video.

Responsibilities

  • Develop data product strategy and roadmaps, incorporating both near term business requests for long-term needs.
  • Create program requirements and co-lead design and development.
  • Manage the data product/program life-cycle.
  • Create data products that enable/provide business metrics.
  • Conduct resource planning and make data product prioritization/trade-offs.
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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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