Customer Engineering Manager, Data Analytics, Google Cloud

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.
• - 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.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - 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. Preferred 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.