Industrial automation
Data and analytics professionals in Industrial automation
Learn which operational metrics actually drive decisions in industrial automation, and where data stops being useful. Understand how analytics professionals choose between competing data sources, handle incomplete information, and know when to act despite uncertainty.
Professionals to explore
01—10Ankur Manake
LinkedInExperience: Honeywell Forge Data and AI Leader · Honeywell Technologies
Experience leading AI products and data infrastructure for industrial operations, using OT/IT data to deliver machine learning and AI inference from edge to cloud.
Anurag Dubey
LinkedInExperience: Head - Data and Analytics (Cloud Data Platforms, AI, GenAI, MDM), Manufacturing · Tata Consultancy Services
Experience leading data and analytics initiatives for manufacturing and industrial clients, helping organizations become data driven through cloud platforms and AI/ML solutions.
Bryan Rubink
LinkedInExperience: Senior Director, Analytics · Emerson
Experience leading analytics for a company in the automation machinery manufacturing sector, focusing on data analytics to drive productivity and cost improvements.
Ergin Tuganay
LinkedInExperience: Partner, Head of Data & AI · Nortal
Experience leading data and AI initiatives for industrial clients, with hands-on competency in industrial automation technologies such as PLC, DCS, SCADA, OPC, and MES/MOM.
Jignesh Bhojani
LinkedInExperience: Director of Business Intelligence and Data Analytics · AMOT Controls
Experience leading business intelligence and analytics at an industrial controls company, driving enterprise-wide data and AI strategy and building analytics ecosystems for operational insights.
Olli Luukkonen
LinkedInExperience: Director, Analytics and Applications Development · Valmet
Experience directing analytics and applications development at a machinery manufacturer serving process industries, building AI and data systems capabilities in an industrial context.
Rajeev Kalamdani
LinkedInExperience: Director, Manufacturing Analytics · Ford Motor Company
Experience directing manufacturing and IIoT analytics, developing strategies for ingesting sensor, PLC and SQL data and applying AI/ML services to manufacturing operations.
SengLin Jiang
LinkedInExperience: Director of Industrial AI Solutions · Siemens
Experience directing industrial AI solutions for manufacturing clients, defining productization strategy and leading AI deployment platforms across industrial automation environments.
Tony Alexander
LinkedInExperience: Head of Data Analytics in Process Automation (additional role) · Siemens
Experience leading data analytics within a process automation function at an automation machinery manufacturing company.
Zainab Ghaffar
LinkedInExperience: VP and Chief Data Analytics Officer, Supply Chain Digitization and Manufacturing Excellence · Honeywell Technologies
Experience leading data engineering, analytics, and intelligence strategy for supply chain and manufacturing operations, including factory automation and AI/ML-driven optimization.
Choose the right perspective
Look for candidates who have owned decisions about which data to collect, which to ignore, and which gaps forced them to choose anyway. Ask about moments when better data would have changed the outcome, and times when more data would have just delayed action.
Questions to take into the conversation
- 01When did you realize the data you were tracking didn't actually predict the outcome you cared about?
- 02Walk me through a decision where you had to act with incomplete data. What would have changed if you'd waited for more?
- 03Which data sources did you stop using, and why?
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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