Senior AI Delivery Leader | Enterprise Solutions

Ecovyst, Inc.; Wayne (PA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work schedule

Job summary

Ecovyst, Inc. is seeking a Senior Manager, AI & Digital Solution Delivery to lead the design, development, and deployment of AI solutions across the business.

You will own architecture, data engineering, model development, and production support, partnering with IT, Security, Legal, and Privacy to ensure Responsible AI and governance. The role requires strong technical depth in AI/ML, data engineering, and automation, with enterprise experience across manufacturing and supply chain contexts.

Qualifications

• Bachelor's degree in CS, data science, engineering, OR a related technical discipline.
• 7+ years designing, building, and deploying AI/data science solutions with production experience.
• Proficiency in Python and SQL; strong data-engineering skills.
• Experience with cloud AI platforms and modern MLOps practices (Azure preferred).
• Ability to manage third-party AI partners, consultants, and contractors.

Responsibilities

• Design end‑to‑end AI solutions and architecture; establish reusable templates and pipelines.
• Incorporate security, privacy, and Responsible AI by design; partner with IT/Security, Legal, and Privacy.
• Build and maintain data pipelines across plant and enterprise systems and support data lake/lakehouse work.
• Develop, validate, and deploy models using ML, generative AI, and optimization techniques.
• Lead delivery through planning, UAT, production hand-off, and governance.

Skills

Python

SQL

Data Engineering

MLOps

Azure

Communication

Education

Bachelor's degree in CS/Engineering/Data Science

Master's degree preferred

Tools

Azure AI Foundry

Azure OpenAI

OSIsoft PI

Job description

Ecovyst, Inc. is seeking a Senior Manager, AI & Digital Solution Delivery to lead the design, development, and deployment of AI solutions across the business.

You will own architecture, data engineering, model development, and production support, partnering with IT, Security, Legal, and Privacy to ensure Responsible AI and governance. The role requires strong technical depth in AI/ML, data engineering, and automation, with enterprise experience across manufacturing and supply chain contexts.