Tai Boon Tan

About Tai Boon Tan

A strategic leader and an experienced hands-on senior professional with over 14+ years of interdisciplinary experience in the industrial-gas and power-generation industries, specializing in operation data and OT/IT system management, equipment predictive maintenance and process automation solution development. Equipped with strong background in computer programming and deep technical domain knowledge, he innovates and develops advanced analytical (AI/ML) solutions in areas of industrial equipment monitoring, plant operations and processes – consistently achieving annual benefit savings target. He continuously delivers solutions on-time and within budget with demonstrated product management and effective communication skills while interfacing with global cross-functional teams, external vendors and key stakeholders for successful solution adaptations. His contribution and performance are recognized through (a) individual awards: Linde Special Recognition and Leadership Awards; and (b) project awards: Buffalo Business First Manufacturing Innovation Award (2020), Linde Innovation Awards – Product Impact and Collaboration (2021); Advanced ML/AI (2023)Experience Highlights: Strategic Planning & Execution – Define enterprise-level strategies and roadmaps for operational data management, smart manufacturing, and digital solutions; successfully aligned resources and engaged global stakeholders to deliver productivity and replication projects on-time and within budget, achieving multi-million-dollar savings Data Management & Strategy – Proven expertise in building and executing data strategies, including scalable architectures (SQL/NoSQL, Data Lakehouse - Databricks, medallion architecture), governance frameworks, and integration pipelines that ensure data quality, accessibility, and security. Skilled in aligning enterprise data initiatives with business objectives to enable advanced analytics, regulatory compliance, and data-driven decision-making Product Management & Planning – Oversee a portfolio of 30+ digital systems and applications, led predictive analytics initiatives for equipment reliability, and successfully rolled out solutions across rotating machinery and electrical assets, earning the Linde 2021 Innovation Awards under Product Impact category Advanced Analytics – Demonstrated track record in developing and delivering IIoT and AI/ML applications for anomaly and pattern signature detection, demand forecasting, text analytics, process modeling, and equipment performance/condition monitoring to drive operational insights and efficiency

Experience

1. Associate Director, Advanced Data & Digital Systems

   Linde

   Mar 2022 — Present · Tonawanda, NY, US

   Responsible for (a) enterprise plant operation data and digital transformation strategies and roadmap, including data engineering, governance, compliance and security;(b) 24/7 normal operation of plant-operation-critical data and applications with SLA of 99% uptimeo Manage a global team of both direct reports and external full-time resource in Americas, EMEA and APAC; the team administers, maintains, and supports Proficy historian system, OT/IT digital systems and applications for enterprise users across all global Linde plants o Supervise administration and operations for Microsoft Azure-hosted system environment: numerous virtual machines, databases, and TB of data in storage – ensuring high system availability and reliability while interfacing with cross-functional teams: corporate IT, cloud infrastructure, network and cybersecurity groupso Oversee and lead simultaneous development projects for numerous business- and operation-critical applications with multi-million annual Capex budget; by managing and prioritizing technical resources, feature development in additions to defining and analyzing business requirements, technology architecture design and system integrationo Evaluate new technologies, adapt industry best-practice and identify business needs to develop solutions for improved business productivity and optimized plant operation in reduced cost, increased reliability and availabilityo Spearhead Data Lakehouse initiatives to modernize operation data platform in guaranteeing industry best practices in data architecture, storage, accessibility, and integration; while enforcing data governance and compliance to enable seamless and high-performance data visualization, operational reporting and analyticso Manage and lead development for global Alarm and Event program – in compliance with ISA 18.2 standards as initiatives to improve plant safety and operators’ efficiency in alarm management

Education

• University at Buffalo

  B.Sc., Chemical and Biological Engineering

  2003 — 2005

• University at Buffalo

  PhD, Chemical Engineering (Statistical Thermodynamics)

  2005 — 2011

Skills

• Analysis
• Power Plants
• Programming Languages
• Matlab
• Chemical Engineering
• Ni Labview
• Project Management
• Aspen Hysys
• Maple
• Labview
• Simulations
• Mongodb
• Research
• Heat Transfer
• Mathematica
• P&Id
• Thermodynamic Modeling
• Data Analysis
• Java
• Manufacturing
• Visual Basic
• Thermodynamics
• Energy
• Html
• Microsoft Office
• Statistics
• Fortran