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Databricks Strengthens Presence in the ANZ Region with New Zealand Country Manager Appointment

May 28, 2024
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Carol Brown joins Databricks as Country Manager for New Zealand after 11 years at Microsoft

Auckland, New Zealand, May 28, 2024Databricks, the Data and AI company, today announced the appointment of Carol Brown as Country Manager for New Zealand, strengthening its commitment to growth and expansion in the ANZ region.

With over 15 years of experience in sales, marketing, and leadership, Brown brings a wealth of expertise to her new role. She will be responsible for leading the New Zealand business and driving the Databricks Data Intelligence Platform adoption across a range of industries. Brown's appointment comes on the heels of Databricks’ strong 70%+ year-on-year growth across ANZ during the past fiscal year.

Prior to joining Databricks, Brown spent 11 years at Microsoft, holding various positions, including most recently, Sales Director for Microsoft's Enterprise business in ANZ. There, she oversaw commercial and people outcomes, while actively supporting and sponsoring teams, partners, and customers engaged in D&I programs across the region. Outside her professional roles, Brown represents Aotearoa, New Zealand on the Forbes Coaches Council.

“The ANZ region is experiencing incredible growth, with the team working with clients like ASB Bank, Contact Energy, Kotahi Logistics, and LawVu just in New Zealand,” said Adam Beavis, Vice President, ANZ, Databricks. “Carol brings with her strong experience in building growth and revenue within a business, and combined with her passion for exploring the impact of technology on people, I’m confident she’s the right fit to spearhead the New Zealand business. I look forward to working with her to broaden the impact we have in New Zealand even further, and help more enterprises harness the full potential of the Databricks Data Intelligence Platform.”

“Data and AI are the building blocks for businesses in today’s landscape, and I’ve been admiring what Databricks has been achieving in the space for some time now,” said Carol Brown, New Zealand Country Manager at Databricks. “The company has gone from strength to strength, building a strong ecosystem of customers and partners in ANZ. I’m excited to jump in headfirst to work alongside Adam and the rest of the team, to continue growing the presence of Databricks in New Zealand, and help Kiwi businesses take advantage of the emerging opportunities in the data and AI space.”

"Using the power of Databricks, LawVu is empowering in-house legal teams to make data-driven decisions, have faster workflows, and derive better legal insights for their businesses. The Databricks data intelligence platform has enabled us to gain a single source of truth, with features like Unity Catalog providing security and governance at scale. The biggest impact of moving to Databricks from our legacy data architecture is cost reduction, the value it brings to our customers through our embedded in-app reporting, and the ability to perform secure data-sharing with our customers using delta sharing - all within the Databricks ecosystem," said Jason Wright, Principal Data & AI Engineer, LawVu.

"We're excited to see Databricks continue to expand their focus and investment in New Zealand - helping customers in New Zealand to move quickly and easily realise value from their data assets and accelerate their adoption of generative AI. We look forward to continuing to helping Kiwi's leading organisations combining Slalom's global experience and local capability with Databricks innovative technologies and tools,” said Nick Walton, Country Managing Director, Slalom

About Databricks
Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow. To learn more, follow Databricks on LinkedIn, X and Facebook.

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