Customer Engineering Manager, Data Analytics, Google Cloud
Technology, Data & Digital · Data, AI & Analytics · Data Science · Business Intelligence · Data Engineering
In short
The Customer Engineering Manager, Data Analytics role at Google Cloud requires a leader with 10 years of experience in cloud-native architecture and customer-facing roles, including people management. This position, based in Bengaluru or Mumbai, India, focuses on guiding a team of experts to advise customers on data and AI/ML technologies, accelerating workload migration and removing technical blockers.
Responsibilities
- Lead Practice Customer Engineers, fostering team culture, talent strategy, and skills development to build AI-ready data foundations that maximize proprietary data value.
- Foster partnerships and provide thought leadership on data platform strategy, governance, and agentic AI architectures.
- Partner with Sales on technical go-to-market plans for Data and AI workloads and repeatable solution patterns.
- Balance technical leadership with operational excellence; lead review meetings to drive technical wins and migration strategies with customers and prospects.
- Oversee prototyping and proofs-of-concept.
- Collaborate cross-functionally across Google and partners to resolve technical roadblocks and provide field feedback to Product and Engineering.
- Drive technical positioning against engaging data platforms, lakehouses, and open tables, while activating unstructured and multimodal data.
Requirements
- Bachelor's degree or equivalent practical experience.
- 10 years of experience with cloud native architecture in a customer-facing or support role.
- Leadership experience (e.g., people management, team lead, mentorship, coaching).
- Experience with technical conversations, demos, prototyping, or workshops with customers.
- Experience with data and AI/ML technologies.
Desired Qualifications
- Experience influencing cross-functional teams, customers, and partners to impact business goals, customer experience, and customer expansion.
- Experience as a pre-sales manager or technical customer-facing people manager within a professional services or sales engineering team.
- Experience with data governance, metadata and semantic layers as a foundation for grounding AI agents in enterprise data.
- Experience driving the adoption of specialized workloads (Cloud AI, Data Analytics) with technical decision makers.
- Experience tailoring compelling messages by audience, asking strategic questions, and leading conversations that accelerate value realization and business opportunity.
- Specialized in technical sales and strategizing around holistic customer and industry solutions.
Benefits
- Opportunity to shape the future of businesses using technology.
- Work within an entrepreneurial team in a rapidly growing business.
- Foster a culture of technical excellence.
- Understand the mechanics of architecture, delivery, and consumption within a specialized domain and Google Cloud’s products and solutions.
#Cloud#Data Analytics#AI#Machine Learning#Customer Engineering#Management