Director, Data Science & Analytics

Coherent Corp. Vietnam•Santa Clara, CA

2d•$168,000 - $249,000

About The Position

The Director, Data Science & Analytics will build and lead Coherent’s data science and analytics team, transforming manufacturing, supply chain, and commercial data into better business decisions. The role sets the analytics strategy, delivers production machine learning, and partners with operations, engineering, finance, product, and sales leaders. Its work is intended to improve yield, capacity planning, cost, and speed to market as Coherent scales output for AI infrastructure customers. The Director defines and manages the data science and analytics roadmap, connecting initiatives to business goals and measuring their returns. The role leads the development and deployment of predictive models, machine learning, and statistical analysis; guides data and ML infrastructure across global fabs and sites; and establishes data quality, governance, and model-risk standards. It also evaluates emerging approaches, including generative AI and LLMs, and pilots and scales those that demonstrate value. The position hires, develops, and manages data scientists, analysts, and ML and data engineers, fostering rigor, ownership, and collaboration. It translates complex analysis into clear executive recommendations and works with business and technical partners to put solutions into daily use. Employees are required to follow site EHS procedures and Coherent Corp. Corporate EHS standards. Depending on location, the role may also be responsible for executing and maintaining applicable quality and environmental standards, including ISO 9000, 9001, and 14001.

Requirements

Bachelor’s degree in statistics, computer science, mathematics, engineering, economics, or a related field.
10+ years of experience in data science or analytics, including 5+ years leading teams of data scientists, analysts, or engineers.
Hands-on expertise in Python and SQL, machine learning, statistical modeling, and experimental design.
Track record of taking models from prototype to production and measuring their business value.
Experience with modern data and ML platforms, such as Databricks, Snowflake, Spark, or AWS, Azure, or GCP services.
Clear, concise communication with executives and non-technical partners.
Ability to rank competing priorities by business impact and say no to the rest.
Adherence to site EHS procedures and Coherent Corp. Corporate EHS standards.

Nice To Haves

Master’s or PhD in a quantitative field.
Experience in semiconductor, photonics, optical networking, or other high-tech manufacturing.
Familiarity with manufacturing data, such as MES, SPC, test and yield data, or equipment sensor data.
Experience deploying generative AI or LLM solutions in an enterprise setting.
Certifications such as AWS Machine Learning, Databricks, PMP, or CIPP.

Responsibilities

Define and run Coherent’s data science and analytics roadmap, align initiatives with business goals, and track measurable returns.
Lead development and deployment of predictive models, machine learning, and statistical analysis, including work in yield and process optimization, predictive maintenance, demand forecasting, and supply chain planning.
Hire, develop, and manage data scientists, analysts, and ML and data engineers; foster a culture of rigor, ownership, and collaboration.
Guide data and ML infrastructure, including cloud data platforms, pipelines, MLOps, and BI tools, and ensure it scales across global fabs and sites.
Translate complex analysis into clear recommendations for executives and partner with operations, engineering, product, finance, and sales to put solutions into daily use.
Establish data quality, governance, and model-risk standards and ensure compliance with security, privacy, and export-control requirements.
Evaluate emerging methods, including generative AI and LLMs, pilot those that demonstrate value, and scale them.
Follow site EHS procedures and Coherent Corp. Corporate EHS standards.
Depending on location, execute and maintain applicable quality and environmental standards within the Quality Management System and Environmental Management System.