3 months ago
Sydney, AustraliaStaff+
Responsibilities
- Present Snowflake’s AI Data Cloud technology and strategic vision to C-level executives and translate technical capabilities into business value.
- Work hands-on with customer technical teams to architect sophisticated data and AI solutions and communicate business impact and ROI.
- Serve as the primary technical advocate for customers within Snowflake and influence product roadmap and feature priorities.
- Understand customer business models, competitive landscapes, and strategic priorities to identify opportunities for Snowflake adoption and innovation.
- Lead executive briefings, strategic architecture sessions, quarterly business reviews, strategic planning sessions, and board presentations.
- Collaborate with Product Management, Engineering, and executive leadership to improve products based on strategic customer feedback.
Requirements
- 10+ years of industry experience with significant C-level executive exposure and a proven track record managing large enterprise accounts.
- Proven success working in Financial Services across architecture, engineering, and business units such as Retail, Business, Institutional, Wealth, and Risk.
- Experience with modern data technologies and tools, including dbt, Spark, containers, DevOps tooling, orchestration tools, and Git.
- Deep expertise in cloud data platforms, AI/ML technologies, LLMs, machine learning pipelines, MLOps, data warehousing, and modern data architecture.
- Hands-on expertise with SQL, Python, and data modeling concepts, with the ability to explain complex architectures in business terms.
- Exceptional C-level presentation and communication skills, including the ability to translate complex technical concepts into compelling business value propositions.
- Experience influencing product roadmaps, prioritizing features, and advocating internally for customer-centric development.
- Experience conducting executive briefings, board presentations, and strategic planning sessions with technical and business leaders.
- Strong internal advocacy and cross-functional collaboration experience within technology companies.
- A university degree in computer science, engineering, mathematics, or a related field, or equivalent experience is preferred; a Master’s in Data Science or Business Administration is a plus.
- Experience facilitating C-level strategic planning focused on data and AI strategy is beneficial but not required.
Tech Stack
Categories
Solutions Engineering
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.