Databricks Appoints Corrie Briscoe to Lead APJ Partner Business as Enterprise AI Adoption Accelerates

SINGAPORE, July 29, 2026 – Databricks has appointed Corrie Briscoe as Vice President of Partnerships and Alliances for Asia Pacific and Japan, as the Data and AI company looks to expand its partner ecosystem and help enterprises scale AI applications, analytics and agents across the region.

Based in Singapore, Briscoe will lead and grow Databricks’ partner business across APJ, working with cloud providers, global and regional systems integrators, independent software vendors and technology partners. Her mandate will include helping organisations scale data and AI applications, analytics and agents at a time when enterprises across the region are increasing investment in agentic AI.

The appointment comes as enterprise AI adoption in APJ moves beyond experimentation towards implementation. Databricks said scaling that investment requires partners that can help customers navigate fragmented data environments, shortages of AI-ready talent, and the governance and controls required to deploy AI confidently across different industries and regulatory regimes.

Briscoe joins Databricks from Amazon Web Services, where she led the APJ Partner Core organisation, overseeing partner programmes, strategic investments and go-to-market initiatives. She brings 30 years of experience in building and scaling partner ecosystems across Asia Pacific, having also held leadership roles at Microsoft and Cisco, where she led regional partner strategy and ecosystem development.

Partner Ecosystem Becomes Critical to Agentic AI

Databricks’ appointment of a senior regional partner leader reflects the growing importance of partner ecosystems in the next phase of enterprise AI adoption.

As companies move towards agentic AI, the challenge is no longer simply selecting a model or experimenting with generative AI tools. Enterprises need clean and governed data, integrated platforms, deployment skills, industry-specific workflows and partners capable of converting AI ambition into operational outcomes.

Databricks said it continues to invest in its partner ecosystem through the recent introduction of the Brickbuilder Partner Network, a global programme designed to reward partners for turning complex implementations into immediate business impact. The company works with more than 8,000 partners globally, including over 1,000 across APJ. Together, this ecosystem is addressing a multi-billion-dollar opportunity in enterprise AI by helping customers build, deploy and scale data and AI applications.

The APJ region presents both a major opportunity and a complex execution challenge. Enterprises across markets such as Singapore, India, Australia, Japan, South Korea and Southeast Asia are increasing AI investments, but maturity levels vary widely. Some organisations are still focused on data modernisation, while others are moving into AI agents, enterprise copilots, analytics automation and AI-enabled applications.

That makes local partner depth a strategic asset.

Enterprise AI Needs Context, Governance and Implementation

Kori O’Brien, Senior Vice President, Global Partnerships at Databricks, said enterprise AI requires more than model selection.

“Enterprise AI is no longer just about choosing the best model. It’s about giving that model the right enterprise context through a unified, governed platform, and that value is created together by Databricks and our partners,” O’Brien said.

O’Brien added that Briscoe’s leadership would be important as Databricks continues to invest in its ecosystem and help partners create the next generation of AI solutions across the region.

“She brings an exceptional track record of helping partners build successful technology businesses and create greater customer impact,” O’Brien said.

The emphasis on enterprise context is significant. In many organisations, AI initiatives fail to scale because data is fragmented, governance is weak, or business processes are not sufficiently integrated with AI platforms. Databricks’ positioning suggests that its partner strategy will focus on helping customers move from AI pilots to production-grade applications built on trusted enterprise data.

This is particularly relevant in industries such as financial services, retail, manufacturing, healthcare, telecommunications and the public sector, where AI deployment must align with security, privacy, compliance and regulatory expectations.

APJ’s Dynamic AI Market

Briscoe said APJ’s diversity makes partner expertise critical. “APJ is home to one of the world’s most dynamic AI markets, spanning different industries, regulatory environments and stages of AI maturity, making strong local partner expertise more important than ever,” she said. “I am excited to join Databricks at such a crucial moment and work alongside our valued partners. Together, we can help customers deploy AI with confidence, advance innovation and deliver lasting business value.”

Her appointment also comes as Databricks expands its enterprise AI portfolio, including tools such as Genie and Lakebase, which were referenced in the announcement as part of the company’s focus on helping customers scale enterprise AI across the region.

For customers, the broader shift is clear: AI adoption is becoming a business transformation issue rather than a technology experiment. Enterprises need partners that can help them manage data platforms, build applications, govern models, ensure compliance and align AI systems with measurable business outcomes.

For systems integrators, ISVs, cloud providers and technology partners, this creates a growing opportunity to build AI practices around platforms such as Databricks.

Regional Partner Strategy in the AI Era

Briscoe’s experience at AWS, Microsoft and Cisco gives Databricks a leader with deep regional exposure to channel ecosystems, cloud adoption and enterprise technology transformation.

That experience may prove important as Databricks competes in a fast-moving enterprise AI landscape where customers are evaluating platforms not only on technical capability, but also on ecosystem strength, implementation support, governance and industry relevance.

In APJ, where regulatory environments and enterprise readiness vary widely, partner networks can determine how quickly AI platforms translate into production workloads. Local partners can help customers address language, compliance, sector-specific data models, cloud architecture, migration complexity and integration with existing systems.

The appointment therefore signals Databricks’ intention to deepen its ecosystem-led growth strategy in APJ.

As agentic AI moves into enterprise workflows, the companies that can combine data governance, model context, application development and partner execution are likely to be better placed to win customer trust.

For Databricks, Briscoe’s appointment is a bet that the next phase of AI growth in Asia Pacific and Japan will be built not only through platforms, but through the partners that can make them work inside real businesses.