As the Head of Agentic Business Intelligence, you will lead a specialized team defining the intersection of enterprise Business Intelligence and Generative AI at Google scale. You will own the long-term goals, architecture, and infrastructure for the "Frictionless Intelligence" initiative—integrating advanced agentic workflows and conversational analytics within Looker.
Your work will directly power Google’s global Go-To-Market (GTM) Sales organization (serving over 10,000 internal users) while creating a blueprint showcase used to drive enterprise Google Cloud (GE) adoption globally.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $219000 - $306000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Define the goal and technical architecture for rolling out agentic workflows, conversational analytics, and AI features within Looker for 10,000+ internal Google users.
- Lead complex, large-scale BI projects from inception to execution. Manage the design of robust data marts, pipeline modifications, and scalable data warehousing.
- Recruit, onboard, and coach a lean team of high-performing BI professionals and data engineers.
- Partner closely with Product and GTM Strategy teams. Serve as the point of escalation for high-priority, fast-turnaround business insights and requests for senior executives.
- Present at Executive Briefing Centers, showcasing Google's internal AI/BI architecture to enterprise clients and partners.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 14 years of experience in business intelligence (BI) or data engineering.
- 2 years of experience designing, building, or deploying agentic workflows, large language model (LLM) features, or generative AI solutions within a business context.
- Experience using BI tools like Looker, Tableau, or Power BI to create visualizations and dashboards.
- Experience identifying and resolving data-related issues, including translating data into actionable insights.
- Leadership experience, such as people management, team lead, mentorship or coaching.
Preferred qualifications:
- MBA, Master's degree, or advanced degree in a technical or scientific field of study.
- Experience supporting sales operations with the ability to create a goal and BI roadmap to solve business problems.
- Experience with scripting languages such as Python, Go, JavaScript, or HTML for data manipulation, analysis, and automation.
- Experience applying business intelligence and AI solutions specifically to Go-To-Market (GTM), Sales Operations, or sales business processes.
- Proficiency in cloud-based data platforms and related BI services.
- Ability to communicate complex technical concepts to both technical and non-technical audiences.