Data and AI Manager @ Google
placeWarsaw, Mazowieckie, Poland
attach_money $150,000
businessOn Site
scheduleFull Time
Posted 1 day ago
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Email Hiring Manager
***** @google.com
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Job Details
About the Role
Google is seeking a Data and AI Manager to lead Global Services Delivery in the Google Cloud division. In this role, you will drive data-driven management, collaborate with product and engineering teams, and work with customer stakeholders on critical solution decisions.
Minimum Qualifications
- Bachelor's degree in STEM or equivalent practical experience.
- 7 years in solution engineering/architecture.
- 5 years in stakeholder management or technical consulting.
- 5 years delivering customer-facing Data and AI services.
- 2 years managing technical teams in cloud computing or customer-facing roles.
Preferred Qualifications
- Master's degree in Engineering, Computer Science, or related fields.
- Experience with recommendation engines, data pipelines, or distributed machine learning.
- Consulting experience with diverse customers and teams.
- Background in software development and professional services.
- Knowledge of TensorFlow and other AI frameworks.
- Proven leadership in designing custom AI-based cloud solutions.
Responsibilities
- Provide data-driven management in a dynamic environment.
- Collaborate with cross-functional Google Cloud AI teams.
- Engage with customer stakeholders as a trusted advisor.
- Shape strategic direction with Account Teams and Sales.
Key Skills/Competency
- Data Management
- AI
- Customer Engagement
- Cloud Computing
- Technical Consulting
- Solution Engineering
- Machine Learning
- Strategic Planning
- Team Leadership
- Analytics
How to Get Hired at Google
🎯 Tips for Getting Hired
- Research Google Cloud: Understand Google culture and services.
- Customize your resume: Highlight technical and leadership roles.
- Showcase projects: Detail Data and AI implementations.
- Prepare for interviews: Focus on solution engineering and team management insights.
📝 Interview Preparation Advice
Technical Preparation
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Review cloud computing fundamentals and architectures.
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Study AI frameworks like TensorFlow and ML pipelines.
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Brush up on solution engineering case studies.
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Practice technical problem-solving scenarios.
Behavioral Questions
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Describe a challenge in team management.
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How do you handle cross-department conflicts?
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Explain customer stakeholder engagement experience.
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Discuss adapting strategies under pressure.
Frequently Asked Questions
What qualifications does Google look for in a Data and AI Manager?
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How important is experience with AI frameworks like TensorFlow at Google?
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What roles does a Data and AI Manager play within Google Cloud?
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Can the applied location for the Data and AI Manager at Google be selected?
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What is the focus area for the Data and AI Manager in the Global Services team?
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