Sr. Director, Data, Analytics & AI (DAA)

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is hiring a Sr. Director, Data, Analytics & AI (DAA) to help lead strategic data transformation initiatives across the company and our customer ecosystem. Reporting to the Chief Data and Analytics Officer (CDAO), this leader will operate at the intersection of internal innovation, product strategy, and customer engagement. The Data, Analytics & AI (DAA) organization serves three core responsibilities across Snowflake: 1. Driving internal Data, Analytics & AI transformation across Snowflake by building scalable, AI-native capabilities and operational frameworks. 2. Acting as “Customer Zero” for Snowflake products, providing direct feedback and strategic input into the product organization as the voice of the customer. 3. Engaging directly with customers to demonstrate the art of the possible with Snowflake, lead forward-deployed engineering efforts, and bring customer insights back into product and platform strategy. This role will focus on advancing these three pillars, improving Snowflake’s internal data team’s products and operations, accelerating customer success, and influencing the future direction of the Snowflake platform. We are passionate about making Snowflake the best cloud for data, AI, computation, collaboration, and applications. As enterprises increasingly adopt AI-driven operating models, this role will help shape how Snowflake enables that transformation both internally and externally. IN THIS ROLE YOU WILL: LEAD ENTERPRISE DATA TRANSFORMATION INITIATIVES Drive strategic Data, Analytics, and AI initiatives that improve business operations, decision-making, and productivity across Snowflake and customer environments. ADVANCE SNOWFLAKE’S INTERNAL AI & ANALYTICS STRATEGY Partner across business and technical organizations to identify opportunities for AI-native workflows, intelligent automation, analytics modernization, and scalable data platform capabilities. SERVE AS THE VOICE OF THE CUSTOMER (“CUSTOMER ZERO”) Partner closely with Product and Engineering teams to provide structured feedback on Snowflake capabilities based on internal usage patterns, operational challenges, and emerging enterprise requirements. LEAD CUSTOMER ENGAGEMENTS & FORWARD-DEPLOYED ENGINEERING EFFORTS Work directly with strategic customers to showcase innovative data and AI solutions on Snowflake. Lead forward-deployed engineering initiatives that help customers modernize their data ecosystems and operationalize AI capabilities at scale. BRIDGE CUSTOMER INSIGHTS INTO PRODUCT STRATEGY Translate customer feedback, implementation learnings, and operational pain points into actionable recommendations that influence Snowflake’s product roadmap and platform evolution. BUILD SCALABLE PATTERNS & BEST PRACTICES Develop repeatable frameworks, reference architectures, enablement models, and transformation patterns that can scale across internal teams and customer organizations. COLLABORATE ACROSS EXECUTIVE LEADERSHIP Work closely with leaders across Product, Engineering, Sales, Customer Experience, and the CDAO organization to align strategy, prioritize investments, and drive measurable business outcomes. OPERATE ACROSS STRATEGY AND EXECUTION Navigate seamlessly between executive-level strategic planning and hands-on engagement with technical teams, data practitioners, and customer stakeholders. OUR IDEAL CANDIDATE WILL HAVE: DEEP EXPERTISE IN DATA, ANALYTICS & AI Strong understanding of enterprise data platforms, analytics ecosystems, AI/ML workflows, and modern data architectures. Familiarity with agentic AI systems, LLM-powered applications, and emerging enterprise AI patterns is highly desirable. BUILDING PRODUCTION-GRADE DATA SOLUTIONS AT SCALE Proven experience building and operationalizing production-grade data platforms, pipelines, and AI/ML systems at enterprise scale. CUSTOMER-FACING LEADERSHIP EXPERIENCE Experience working directly with enterprise customers to drive large-scale data transformation programs, solution architecture initiatives, or forward-deployed engineering engagements. PRODUCT & PLATFORM MINDSET Ability to identify recurring customer and internal challenges and translate them into scalable product feedback, platform require