Food manufacturing
Data and analytics professionals in Food manufacturing
Food manufacturing generates data across production lines, supply chains, and quality control. Learn which decisions this data actually drives—from production scheduling to ingredient sourcing—and where analysts hit limits because data doesn't capture what matters or costs too much to collect.
Professionals to explore
01—10Audrey Enriquez
LinkedInExperience: Director, Commercial BI and CRM · Ventura Foods
Experience leading commercial business intelligence and CRM functions along with prior data and trade analyst roles at a food and beverage manufacturing company.
Carl Boraca
LinkedInExperience: Director, Global Business Intelligence and Analytics · Mars
Has experience leading global business intelligence and analytics functions at a food and beverage manufacturing company.
Garrett Gilmore
LinkedInExperience: Director - Analytics and Business Intelligence · Tyson Foods
Experience directing analytics and business intelligence functions at a large food and beverage manufacturing company producing protein products.
James Yuan
LinkedInExperience: Sr. Director Data Science & Analytics · PepsiCo
Has experience leading data science and analytics work at a food and beverage manufacturing company, with background spanning thermally processed foods and beverages.
Jimmy Gabel
LinkedInExperience: Director of Analytics - Data Architecture, Data Science, Data Platforms · Tyson Foods
Experience leading analytics data architecture, data science, and data platforms functions at a large protein and food production manufacturing company.
John Pollaci
LinkedInExperience: Director of Analytics · What Chefs Want!
Experience leading enterprise-wide analytics and reporting initiatives for a food distribution company serving restaurant customers across multiple states.
Mohammed Sajid Khan
LinkedInExperience: Director - Head of Global Data & Analytics · OSI Group
Has experience heading global data and analytics functions at a food production company, building data ecosystems and integrating global ERP sources.
Paul Cavacas
LinkedInExperience: Director of Analytics, Data and AI · Ocean Spray Cranberries
Has experience directing data, analytics, and AI functions at a food and beverage services company that produces juices, snacks, and sauces.
Taylor Mermis
LinkedInExperience: Director of Analytics Development · Seaboard Foods
Has experience directing analytics development at a food production company that manufactures pork products for consumers.
Yev Filonov
LinkedInExperience: Data Strategy, Analytics & Business Insights Director, Danone Specialized Nutrition North America · Danone
Experience leading data strategy, analytics, and business insights, plus prior supply chain digital and business intelligence roles at a food and beverage manufacturing company.
Choose the right perspective
Look for candidates who owned specific decisions, not just reported metrics. Ask them to describe a choice they made based on data, what happened after, and when they realized the data wasn't telling the full story. Avoid those who only discuss dashboards or tools.
Questions to take into the conversation
- 01Walk me through a production or supply decision you made using data. What data did you use, and what did you wish you had?
- 02Tell me about a time when better data wouldn't have changed your decision. What was missing?
- 03When did you stop trusting a metric or dataset you'd been relying on? What made you realize it was broken?
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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