EV charging

Data and analytics professionals in EV charging

Learn which data actually drives decisions in EV charging operations—from site selection and utilization forecasting to pricing and maintenance scheduling. Understand where data breaks down: when real-world constraints override analytics, when you lack the right metrics, or when decisions happen faster than analysis can support.

10 professionals10 companiesData retrieved September 27, 2026

Professionals to explore

01—10
  1. Dr. Francesco Montanari

    LinkedIn

    Experience: Project Lead Software, Data & AI Audi charging hubs · AUDI AG

    Experience leading data strategy, data management platform, and KPI reporting for optimization and supervision of EV charging hub projects.

  2. George Hobbs

    LinkedIn

    Experience: VEV Data Lead · VEV

    Experience designing and delivering data strategy including decarbonisation analytics and internal automation for an EV fleet charging and electrification company.

  3. Giovanni Pace

    LinkedIn

    Experience: Director of Analytics and Business Intelligence · EVCS

    Experience directing analytics and business intelligence for an EV charging network, translating pricing, utilization, and customer behavior data into decisions on revenue and expansion.

  4. Japheth Teo

    LinkedIn

    Experience: Assistant Director · EV-Electric (EVe) Charging Pte Ltd

    Experience building data platforms and dashboards for electric vehicle charging operators, including data quality management and utilization tracking dashboards.

  5. Kevin Tai

    LinkedIn

    Experience: Senior Director, Head of Data Office & Energy Program Management · Gogoro

    Has experience leading data office functions and business intelligence for an electric vehicle energy network company, overseeing hardware, software, and data project management.

  6. Muhammad Junaid Ilyas

    LinkedIn

    Experience: Engineering Manager · Tesla

    Has experience leading a charging data and modeling team, analyzing charging network usage KPIs and applying machine learning to optimize EV charging network cost and utility.

  7. Scott Harper

    LinkedIn

    Experience: Data Analytics Advisor eMobility (Charge Ready Programs) · Southern California Edison (SCE)

    Experience supporting transportation electrification programs through data pipeline architecture, charger-level data ingestion, and analytics tools advising commercial EV customers on load management.

  8. Shijing Xiang

    LinkedIn

    Experience: Head of Market & Business Intelligence · IONITY

    Has experience leading market and business intelligence functions at a company offering EV charging stations across Europe.

  9. Thomas Heslop

    LinkedIn

    Experience: Head of Data and Analytics · Zapgo

    Has experience leading data and analytics functions in the electric vehicle charging industry, focusing on enabling business value from data across multi-disciplinary teams.

  10. Valentin Gauckler

    LinkedIn

    Experience: Head of Transaction Management & Analytics · Digital Charging Solutions

    Has experience leading transaction data analytics and predictive analytics for charge records processing at an EV charging joint venture platform.

Choose the right perspective

Look for candidates who have owned specific operational decisions using data. Ask them to describe a real choice they made, what data informed it, and when that data proved insufficient or misleading. Avoid those who only report metrics without explaining how those metrics changed what actually happened.

Questions to take into the conversation

  1. 01Walk me through a decision you made using data where the outcome surprised you—what data did you miss or misinterpret?
  2. 02When did you stop waiting for more analysis and make a call anyway? What forced that choice?
  3. 03Which metric you tracked regularly turned out to be useless for the decisions you actually needed to make?

About this directory

This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot and may describe past or present roles. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.

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