Director, Engineering, Agentic AI for Data Analytics
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Minimum qualifications:
- Bachelor's degree in Computer Science or equivalent practical experience.
- 15 years of professional experience in engineering leadership or related technical roles.
- 5 years of experience working with Machine Learning, AI, and Large Language Models (LLM) to process and create data.
- Experience scaling new and emerging products from the ground-up.
Preferred qualifications:
- PhD in Computer Science or equivalent practical experience.
- Experience working in the data and analytics or Business Intelligence space.
- Experience bringing innovative, industry-leading, category-defining tech products to market.
- Experience working with executive level internal and external clients/partners, acting as a representative of the company.
- Ability to work cross-functionally, partnering with groups (e.g., Product Management, Product Marketing, UX and UI), brokering trade offs with stakeholders and understanding their needs.
- Excellent narrative and storytelling abilities, communication skills, and presentation skills.
About the job
As the Director of Engineering in the Analytics AI organization, you will be responsible for leading Engineering teams in the development and delivery of Agentic AI solutions and experiences. You will collaborate closely with product managers, designers, and other stakeholders to fully leverage Agentic AI, enhancing the productivity and experience for customers of BigQuery and Looker. You will guide teams in building Agentic solutions to propel BigQuery and Looker into the GenAI era. You will build GenAI solutions that enhance the productivity of business analysts, data engineers, and data scientists.
In this role, you will set and communicate a clear technical direction that supports our business goals, drive standards for engineering excellence that lead to scale and customer satisfaction, and effectively collaborate with other leaders across various functions and execution areas.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $294,000-$414,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Lead several teams covering the whole spectrum of data analytics from data organization and data exploration to results.
- Work closely with product management to define the product roadmap and ensure that GenAI is used to its full potential.
- Collaborate with designers to create user-friendly and intuitive data analytics interfaces.
- Work with other stakeholders to ensure that GenAI-powered data analytics products are aligned with the company's overall business goals.
- Stay up-to-date on the latest trends in Data Analytics and Artificial Intelligence (AI).
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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.
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