Hitachi Vantara Names Wendy Koh Vice President of Asia Pacific Sales
Hitachi Vantara has appointed Wendy Koh as Vice President of Asia Pacific Sales, effective immediately. Based in Singapore, Koh is charged with leading the company's technical sales strategy across the region as demand grows for AI-ready hybrid cloud data and storage.
Koh will oversee regional sales teams, deepen relationships with customers and partners, and execute initiatives that speed up adoption of Hitachi Vantara's products and solutions. In this role, Koh reports to Adrian Johnson, Senior Vice President and General Manager for the Americas and Asia Pacific.
"We welcome him to the team and believe he will deliver meaningful results for customers and partners as they manage the very rapid growth of data to support the next generation of agent AI and physical AI," said Johnson.
Learn more about the company here: Hitachi Vantara.
Why this matters for APAC executives
This move signals a tighter focus on enterprise data platforms that support AI at scale-across on-prem, cloud, and edge. Expect stronger technical sales engagement and clearer paths from pilot to production.
- AI workload readiness: Storage performance, data governance, and data locality will sit at the center of sales conversations.
- Partner leverage: Closer alignment with global system integrators and hyperscalers to simplify procurement and integration.
- Regional precision: Sector plays in finance, public sector, and manufacturing with attention to compliance and data residency.
- Proof-of-value motion: More solution architects, faster POCs, and measurable outcomes to de-risk decisions.
About Wendy Koh
Koh brings 30+ years in IT consulting, strategy, infrastructure management, project management, and partnership development. Before joining Hitachi Vantara, Koh served as Executive Vice President for Southeast Asia at Capgemini.
That mix of consulting and delivery experience points to a pragmatic, outcomes-first sales approach: clear value cases, measurable adoption, and disciplined execution.
What leaders can do next
If you're evaluating AI-driven data platforms, align your team on the basics, set a short runway for validation, and make procurement easier through established partners. Keep governance, cost control, and performance guardrails visible from day one.
- Map priority AI use cases to data and storage needs (throughput, latency, cost, sovereignty).
- Run time-boxed pilots with exit criteria and agreed success metrics.
- Standardize a partner stack across hyperscalers, GSIs, and key ISVs to speed integration.
- Upskill leadership and delivery teams on AI strategy and tooling to avoid stalled programs.
If you're building an AI capability roadmap for your organization, explore curated programs by role here: AI courses by job.
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