Customer Engineering Manager, Data Analytics, FSI, Google Cloud

Google; Chicago (IL); On-site; USD 192,000 - 267,000; Full time

Job summary

Google is seeking a Customer Engineering Manager for Data Analytics within the Google Cloud organization. You will lead a high-performing team of data analytics experts across multiple locations, driving architectural direction, implementation, and customer success in Financial Services use cases.

You will partner with Sales, Product, and Engineering to demonstrate and prototype data platforms like BigQuery and Knowledge Catalog, ensuring governance and real-time AI capabilities for enterprise

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing role.
• 5 years in pre-sales or field engineering leadership at an enterprise tech company or similar customer-facing experience.
• Experience with Financial Services industry or customers.
• Experience pitching a connected Data & AI story to C-level executives for Financial Services use cases with clear business outcomes.

Responsibilities

• Lead a team of Data Analytics technical experts in a matrixed organization.
• Lead the region's Data Analytics technical community to ensure sub-regional contributions and scale.
• Influence cross-functional teams, including Product Management and Engineering, and manage C-level/IT decision maker relationships.
• Lead the team to demonstrate and prototype Agentic Data Cloud and AI products in customer environments.
• Coach teams to guide enterprise customers in leveraging unified data foundations for real-time AI experiences.

Skills

Cloud native architecture

Customer-facing experience

Pre-sales leadership

Financial Services industry experience

C-level narrative & executive briefing

BigQuery

Knowledge Catalog

Education

Bachelor's degree or equivalent practical experience

Tools

BigQuery

Knowledge Catalog

Job description

Customer Engineering Manager, Data Analytics, FSI, Google Cloud

New York, NY, USA; Atlanta, GA, USA; +5 more

This role may also be located in our Playa Vista, CA campus.

Google

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Atlanta, GA, USA; Austin, TX, USA; Cambridge, MA, USA; Chicago, IL, USA; Sunnyvale, CA, USA; Los Angeles, CA, USA.

Minimum 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 customer-facing experience.
• 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 Financial Services use cases with clear business outcomes

Preferred qualifications:

• Experience as a thought leader in Data Analytics and AI, specialized in technical sales and strategies around holistic customer and industry solutions.
• Experience in technical sales or professional consulting in the fields of cloud computing, data analytics, information lifecycle management, and Big Data.
• Experience in people management leading technical sales or consulting teams for Cloud Computing or Data Analytics products and platforms.
• Experience influencing cross-functional teams, customers, and partners to impact business goals, customer experience, and customer expansion.

About the job

As a Customer Engineering (CE) Manager, you will lead and scale a high-performing team of technical subject matter experts and solutions architects responsible for partnering with customers to architect, validate, and deploy modern data platforms. You will guide your team in providing trusted technical advisory, accelerating complex workload migrations, eliminating technical friction, and turning architectural direction into measurable business outcomes.

In this role, you will advocate Google Cloud’s Agentic Data Cloud strategy, positioning our unified data suite—including BigQuery, Knowledge Catalog, and the Borderless Lakehouse—as the foundational platform powering enterprise-grade, autonomous agentic workflows. You will lead your team to demonstrate how robust data governance, semantic cataloging, and unified lakehouse architectures directly eliminate high-quality, real-time AI agents.

You will foster a culture of deep technical ownership, engineering excellence, and customer empathy. By mastering the mechanics of architecture, delivery, and consumption across Google Cloud’s data and AI portfolio, you will partner closely with Sales leadership and building strong ecosystems of customer relationships and cross-functional partnerships to shape customer transformation roadmaps, multiply organizational impact, and establish Google Cloud as the definitive foundation for the Agentic AI era.

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: $192000 - $267000 (USD) + 42.86% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Lead a team of Data Analytics technical experts in a matrixed organization. Focus on talent strategy, assessing go-to-market readiness and gaps in CE preparedness, skills development.
• Lead the broader region's Data Analytics technical community, to ensure sub-regional technical contributions, achieve scale through artifact and innovation sharing.
• Influence cross-functional teams, including Product Management and Engineering, lead and own high impact customer C-level or Information Technology Decision Maker (ITDM) relationships who make or influence Data and AI enterprise technology decisions.
• Lead the team to work with Google Cloud Platform to demonstrate and prototype our Agentic Data Cloud and AI products or integrations in customer/partner environments.
• Coach team to guide enterprise customers in leveraging industry-specific unified data foundations to power real-time, AI-driven experiences, with strategic and technical differentiated solutions that address technical bottlenecks.