Snowflake (NYSE: SNOW), a company specializing in the AI Data Cloud, has announced the appointment of Dayne Turbitt as Senior Vice President for the Europe, Middle East, and Africa (EMEA) region. In this role, Turbitt will be responsible for leading the company’s commercial operations in the region, leveraging Snowflake’s strong growth and supporting customers in accelerating their AI adoption strategies.
The new executive brings over 25 years of sales and leadership experience in the technology sector at the international level. Prior to joining Snowflake, he served as General Manager for EMEA at Anaplan, a global company specializing in enterprise planning and decision intelligence, a role he has held since February 2023. Previously, he spent twelve years at EMC and Dell Technologies, holding various senior leadership roles.
“We are excited to welcome Dayne to drive the sustained success of our business in EMEA,” says Mike Gannon, Chief Revenue Officer at Snowflake. “His reputation for operational excellence and customer-centric mindset will be essential as we seek to capitalize on our strong momentum and continued customer growth in EMEA. Under Dayne’s leadership, I am confident we will strengthen our position in the region, helping our customers transform AI from a niche and expert-only function into a core business capability, as well as building stronger relationships within our broad partner ecosystem.”
“I am thrilled to join Snowflake at such a pivotal moment for its business in EMEA,” states Dayne Turbitt, Senior Vice President of Snowflake EMEA. “The company’s excellent performance in its first three quarters of FY 2026 demonstrates the robustness of Snowflake’s easy-to-use, connected, and reliable platform, reaffirming the value we deliver to our customers. My goal is to harness this momentum and drive even greater success for our customers and partners across the region.”
Snowflake as the Foundation for Customers’ Data and AI Business Strategies
Currently, Snowflake has over 7,300 global accounts using Snowflake AI weekly, showing that Cortex AI, along with autonomous, ready-to-use agent applications like Snowflake Intelligence, is becoming a fundamental pillar of customers’ enterprise AI strategies by enabling measurable adoption, platform scalability, and significant revenue impact.
For example, to deliver connected and effective care, and to achieve its ambition of becoming the most customer-centric healthcare company worldwide, Bupa is deploying Snowflake’s AI Data Cloud. This will revolutionize its analytics processes across all operations, including actuarial work, clinical processes, customer experience, and contact centers. With a 90% reduction in data ingestion times, Bupa can now maximize the value of its innovative AI use cases to help make populations happier and healthier, providing personalized care faster and improving patient health outcomes.
“Snowflake is a powerful platform that meets all our needs,” says Dan Robertson, Data and Analytics Director at Bupa. “What really makes a difference is combining it with our new federated model and a data strategy that prioritizes security and control.”
As part of Siemens’ mission to foster a data-driven culture based on greater transparency, the global technology company has leveraged the Snowflake platform to build Siemens Data Cloud, an open data mesh ecosystem that now serves as the backbone of its data strategy. This has enabled Siemens to migrate legacy data applications to the cloud and replicate ERP data from nearly 50 systems in one place and almost in real time.
“Snowflake has provided us with significant cost savings and remarkable efficiency improvements,” affirms Christian Meyer, Cloud Operations Director and Chief Technology Architect at Siemens. “Thanks to Snowflake, we no longer have to worry about platform management or unauthorized access to sensitive data. Additionally, the speed-to-market advantages have opened up unique opportunities for us.”
With its global leadership in leisure, travel, and tourism, TUI Group is using Snowflake’s AI Data Cloud to unify information across its operations and lay the groundwork for AI-driven data discovery and exploration. This will help streamline its operations, empower teams to meet high customer expectations, and increase data team responsiveness. TUI teams can now optimize processes and answer key questions more quickly, potentially saving months of manual work.
“There are great LLM tools out there, but few integrate data and AI components like Snowflake does. That’s a truly powerful advantage,” says Alina Vishniakova, Director of Technology, Data & Analytics at TUI.
“The opportunity for Snowflake in EMEA is immense, as organizations across the region look to extract greater value from their data,” states Dayne. “As demonstrated by many innovative use cases implemented by our clients, there’s clear interest in an integrated platform that unifies all data and AI workloads. At Snowflake, we are committed to helping organizations maximize their data and enable them to add an AI layer without compromising security or governance controls.”
Snowflake’s Performance in FY 2026
Snowflake recently announced its Q3 FY 2026 results for the period ending October 31, 2025. Throughout this fiscal year, Snowflake has continued to innovate rapidly, launching new features that help customers derive value at every stage of their data lifecycle and leverage AI’s full potential.
In the last quarter, the company’s momentum was boosted by the general availability of Snowflake Intelligence, an enterprise AI agent that experienced the fastest adoption rate in Snowflake’s history. This tool is transforming how businesses interact with their data by providing actionable real-time insights. Snowflake Intelligence removes barriers to key insights by unifying data and context, enabling teams to quickly understand why metrics are changing and what actions to take next, all through natural language queries.
Over FY 2026, the company also strengthened strategic alliances with leading global AI model providers, clouds, and application platforms to enhance the entire data lifecycle with AI-powered capabilities, including:
- A historic partnership with SAP to unify mission-critical enterprise data with Snowflake’s AI Data Cloud.
- An alliance with Google Cloud to make the latest Gemini models available to over 12,600 customers through Cortex AI and Snowflake Intelligence, improving access and choice.
- A $200 million agreement with Anthropic to make their Claude models available on Snowflake’s platform and establish a joint global go-to-market initiative focused on deploying AI agents in the world’s largest enterprises.