Mohamed Battisha

VP of Engineering @WEX

San Francisco, CA, US
EMAILS
m••••••••@wexinc.com
MOBILE NUMBERS
+14•••••••12

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WORK HISTORY

Mar 2025 — Present

VP of Engineering @WEX

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San Francisco, CA, US

Leading WEX’s global data engineering organization, with a mandate to design and deliver the next generation of the company’s data and AI foundation. This includes building large-scale data platforms, advancing modern architectures, and pioneering agentic solutions that transform how WEX and its customers leverage data.

EDUCATION

N/A

The Wharton School

Executive MBA, Wharton Executive Education Chief Technology Officer Program

2008

University of Louisville

Doctor of Philosophy (Ph.D.), Computer Science

SKILLS

ScalabilitySoftware EngineeringMapreduceSaasVisual StudioMobile ApplicationsWeb ServicesC#MultithreadingC++XmlRestHadoopAgile Project ManagementCloud ComputingAgile MethodologiesArchitecturesDistributed SystemsArchitectureSoftware DevelopmentScrumPerlObject Oriented DesignBig DataSystem ArchitectureSoaSoftware Design

ABOUT MOHAMED BATTISHA

Technology executive with extensive experience building and scaling enterprise data and AI platforms in complex, global environments. Proven track record of leading high-performing engineering organizations and delivering platforms that support analytics, machine learning, and mission-critical business use cases at scale.Known for operating at the intersection of technology, strategy, and execution—translating business objectives into durable data architectures and engineering systems. Has led multi-disciplinary teams across data engineering, platform engineering, analytics, and AI, with a strong focus on reliability, governance, and long-term scalability.Experienced in driving large-scale transformation across both private-sector and public-sector organizations, partnering closely with executive leadership to modernize data ecosystems, improve decision-making, and enable AI-driven capabilities.Frequently engaged in executive-level discussions around data strategy, AI readiness, and organizational design.Leadership style emphasizes clarity, accountability, and talent development, with a belief that sustainable impact comes from strong teams, thoughtful architecture, and disciplined execution.

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