Snowflake31.03.2026
Sr. Director, Data, Analytics & AI (DAA)
Полная занятостьUS-CA-Menlo Park
Обязанности
- 01Drive strategic Data, Analytics, and AI initiatives that improve business operations, decision-making, and productivity across Snowflake and customer environments
- 02Partner across business and technical organizations to identify opportunities for AI-native workflows, intelligent automation, analytics modernization, and scalable data platform capabilities
- 03Partner closely with Product and Engineering teams to provide structured feedback on Snowflake capabilities based on internal usage patterns, operational challenges, and emerging enterprise requirements
- 04Work directly with strategic customers to showcase innovative data and AI solutions on Snowflake
- 05Lead forward-deployed engineering initiatives that help customers modernize their data ecosystems and operationalize AI capabilities at scale
- 06Translate customer feedback, implementation learnings, and operational pain points into actionable recommendations that influence Snowflake's product roadmap and platform evolution
- 07Develop repeatable frameworks, reference architectures, enablement models, and transformation patterns that can scale across internal teams and customer organizations
- 08Work closely with leaders across Product, Engineering, Sales, Customer Experience, and the CDAO organization to align strategy, prioritize investments, and drive measurable business outcomes
- 09Navigate seamlessly between executive-level strategic planning and hands-on engagement with technical teams, data practitioners, and customer stakeholders
Требования
- 01Deep expertise in enterprise data platforms, analytics ecosystems, AI/ML workflows, and modern data architectures
- 02Familiarity with agentic AI systems, LLM-powered applications, and emerging enterprise AI patterns
- 03Proven experience building and operationalizing production-grade data platforms, pipelines, and AI/ML systems at enterprise scale
- 04Experience working directly with enterprise customers to drive large-scale data transformation programs, solution architecture initiatives, or forward-deployed engineering engagements
- 05Ability to identify recurring customer and internal challenges and translate them into scalable product feedback, platform requirements, and reusable solutions
- 06Comfort engaging with executives, architects, engineers, analysts, and data scientists alike
- 07Ability to connect technical strategy with measurable business impact
- 08Track record of leading complex, cross-functional initiatives across Product, Engineering, Data, and customer-facing organizations in fast-paced environments
- 09Ability to think holistically across people, processes, platforms, and operating models while driving transformation at enterprise scale
- 10Thrives in ambiguous, rapidly evolving environments
- 11Demonstrates curiosity, ownership, and a bias toward action while navigating emerging technologies and shifting priorities