Minimum qualifications:
- Bachelor's degree in Computer Science, Engineering, related fields, or equivalent practical experience.
- 4 years of product management experience around requirements gathering, roadmap planning, and execution.
- Experience in technical troubleshooting, and managing internal/external partners or customers.
Preferred qualifications:
- 6 years of experience in data products and technologies such as SQL, data warehousing, data architecture, and data governance.
- Experience planning for and managing several large-scale, complex technical projects to deliver quality results within the project deadlines.
- Experience identifying business needs, and defining or building data solutions to address business needs in a customer service environment.
- Ability to collaborate, build consensus, and drive technical decisions with complex cross-functional stakeholder groups, involving both technical and non-technical audiences.
- Strong technical leadership, project management, analytical problem solving, and troubleshooting skills.
About the job
gTech's Analytics Platforms and Tools team (gAPT) leverages user, operational, and technical insights to innovate Google's Ads products into customer experiences that are so intuitive (or automated) that they require no support at all. gAPT partners closely with gTech's Ads team, Product Management, and Engineering teams to innovate and simplify our Ads products and build the productivity tools ecosystem for gTech users.
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 .
Responsibilities
- Develop data product strategy and roadmaps.
- Create program requirements and co-lead design and development.
- Data product/program life-cycle management and execution.
- Create data products that enable/provide business metrics.
- Conduct resource planning and make data product prioritization/trade-offs.
