Automotive manufacturing

Data and analytics professionals in Automotive manufacturing

Automotive manufacturing relies on data to decide production schedules, quality targets, supplier performance, and equipment maintenance. You can learn which data actually drives these decisions and where leaders stop trusting the numbers and rely on gut feel instead.

10 professionals5 companiesData retrieved September 27, 2026

Professionals to explore

01—10
  1. Anil Kumar Maddulapalli

    LinkedIn

    Experience: Director, Industrial System Analytics and AI Advancement Center, GDI&A, India · Ford Motor Company

    Experience applying data science and quantitative modeling to automotive manufacturing, supply chain, marketing and sales analytics for a global automaker.

  2. Anton Kokorin

    LinkedIn

    Experience: Manager, BI and Visualization Platforms · Stellantis

    Experience managing business intelligence and visualization platforms, including analytics reporting for a global automotive manufacturer's connected vehicles division.

  3. Dr. Peter Phleps

    LinkedIn

    Experience: Head of Customer & Vehicle Analytics · BMW Group

    Experience leading customer and vehicle data analytics functions within the product development division of a global automotive manufacturer.

  4. Erica Klampfl

    LinkedIn

    Experience: Executive Director, Industrial System Analytics · Ford Motor Company

    Experience leading industrial systems analytics for material planning, logistics, and vehicle complexity management at a major automotive manufacturer.

  5. Jared Fisher

    LinkedIn

    Experience: Director - Engineering Data Intelligence Services · Stellantis

    Experience leading engineering data intelligence and business analytics functions at a global automotive manufacturer, following prior product engineering roles in vehicle body systems.

  6. Manu Madhav

    LinkedIn

    Experience: Sr Manager - Data Strategy & Analytics - Operations · Lear Corporation

    Experience in data strategy and analytics operations at an automotive components manufacturer, following prior engineering management roles in electro-mechanical product development.

  7. Michael Farrell

    LinkedIn

    Experience: Director - Mopar Business Analytics · Stellantis

    Experience leading business analytics functions at a global automotive manufacturer, including pricing strategy, margin optimization, and reporting analytics roles.

  8. Rajeev Kalamdani

    LinkedIn

    Experience: Director, Manufacturing Analytics · Ford Motor Company

    Experience directing manufacturing and IIoT analytics, including cloud transformation of manufacturing data systems at an automotive manufacturer.

  9. Ruediger Eck

    LinkedIn

    Experience: Chief Data Officer (CDO) Audi Production & Logistics · AUDI AG

    Experience serving as chief data officer overseeing production data governance and analytics for an automotive manufacturer's production and logistics operations.

  10. Shivani Raina

    LinkedIn

    Experience: Global Director-Connected IOT Platform Management · Stellantis

    Experience directing data products and IoT platform management, including data insights strategy for components and features at a global automotive manufacturer.

Choose the right perspective

Look for candidates who have owned specific production or supply chain decisions using data. Ask them to describe a time when data pointed one way but they chose differently, or when they realized their data was incomplete. Avoid those who only report metrics without explaining how the numbers changed what actually happened.

Questions to take into the conversation

  1. 01Walk me through a production or supplier decision you made with data. At what point did you stop trusting the numbers and decide based on something else?
  2. 02Which data sources conflicted with each other, and how did you choose which one to believe?
  3. 03Tell me about a time when better data would have changed your decision. What was missing, and why didn't you have it?

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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