Lead Data Analytics & AI Cloud Engineering Manager

Google; Austin (TX); Hybrid; USD 192,000 - 267,000; Full time

Job summary

Google is seeking a Customer Engineering Manager to lead a high-performing team of data analytics experts responsible for architecting, validating, and deploying modern data platforms. You will drive trusted technical advisory, accelerate migrations, and translate architectural direction into measurable business outcomes.

You will champion Google Cloud’s Agentic Data Cloud strategy, showcasing BigQuery, Knowledge Catalog, and unified lakehouse as the foundation for enterprise-grade, autonomous

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing role.
• 5 years of experience in pre-sales or field engineering leadership roles at an enterprise technology company or similar.
• Experience working in the Financial Services Industry or with Financial Services customers.
• Experience pitching a connected story of modern Data & AI foundations to C-level executives (CDOs, CAIOs, CTOs, CIOs, LoBs) for FS use cases with clear business outcomes.

Responsibilities

• Lead a team of Data Analytics technical experts in a matrixed organization, focusing on talent strategy and skills development.
• Lead the regional Data Analytics technical community to scale contributions and innovation sharing.
• Influence cross-functional teams, including Product Management and Engineering, and manage high-impact C-level relationships.
• Demonstrate and prototype Agentic Data Cloud and AI products with customer/partner environments.
• Coach enterprise customers to leverage unified data foundations for real-time, AI-driven experiences and differentiated solutions.

Skills

Cloud native architecture

Pre-sales leadership

Executive storytelling

Data & AI foundations

Education

Bachelor's degree or equivalent practical experience

Job description

Google is seeking a Customer Engineering Manager to lead a high-performing team of data analytics experts responsible for architecting, validating, and deploying modern data platforms. You will drive trusted technical advisory, accelerate migrations, and translate architectural direction into measurable business outcomes.

You will champion Google Cloud’s Agentic Data Cloud strategy, showcasing BigQuery, Knowledge Catalog, and unified lakehouse as the foundation for enterprise-grade, autonomous