Product Technology Manager, Data Architecture And Engineering, Gdata
4 weeks ago
Product Technology Manager, Data Architecture and Engineering, gData
Google Dublin, Ireland
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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 and affirmative action employer.
We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes.
Please do not forward resumes to our jobs alias, Google employees, or any other organization location.
Google is not responsible for any fees related to unsolicited resumes.
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