Alex Pamatat

About Alex Pamatat

With a strong focus on business value delivery using AI/ML technologies, I bring a wealth of experience and a commitment to continuous improvement, resulting in comprehensive knowledge across various domains. My expertise blends semiconductor and manufacturing acumen with AI/ML leadership. As a leader and manager, I continuously strive to elevate my team in complex technological and business environments, demonstrating a diverse range of skills and expertise.

Experience

1. Director, Enterprise Data Science Coe - Office of the CDO

   NXP Semiconductors

   May 2023 — Present · Austin, TX, US

   Primary team focus is on use AI/ML case execution with our business stakeholders, and bringing Data Science excellence to the enterprise.• Data Portfolio Use Case Execution-Manage ongoing team augmentation of business domain AI/ML enabled use case execution squads, bringing to those teams best practices and technical leadership to ensure value delivery and solution sustainability-Developed enterprise execution model, and corresponding artifacts, for delivery of AI/ML enabled use cases-Guided Digital Transformation 2.0 data science and MLOps resource input for use cases across Manufacturing, Global Sales and Marketing, Supply Chain Operations, R&D and Finance domains; led Data and AI enablement activities for Manufacturing domain.• Data Science Excellence -Contributing member of cross-functional AI Risk and Technology Risk Assessment Committee, supporting enterprise AI and GenAI governance of 18 use cases within the committees first 6 months-Launched NXP GenAI Community, serving 500+ members, through ongoing community events-Developed Enterprise MLOps Service Design model-Harmonized and improved efficiency of ML model development and deployment through generation of reusable MLOps assets, reducing cycle time of the ML lifecycle from 3+ months to a few days-Executed AI/ML platform assessment to identify and select technologies required to scale data science across the enterprise-Developed and delivered institutional data literacy components to support all the above.

Education

• Monroe Community College

  AS, Engineering Sciences

  1995 — 1997

• Rochester Institute of Technology

  BS, Microelectronics Engineering

  1997 — 2001

Skills

• Process Simulation
• Semiconductors
• Process Engineering
• Yield
• Silicon
• Design of Experiments
• Manufacturing
• Jmp
• Ic
• R&D
• Six Sigma
• Spc
• Failure Analysis
• Semiconductor Industry
• Mems
• Characterization
• Process Integration
• Product Engineering
• Cmos