Senior Mgr, AI & Digital Solution Delivery

Ecovyst Inc.; Wayne (NJ); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Ecovyst Inc. is seeking a Senior Manager of AI & Digital Solution Delivery to architect, deploy, and maintain enterprise AI solutions across the organization. You will own solution delivery, partner with IT and Legal, and translate strategy into secure, sustainable technical outcomes.

The role requires deep expertise in AI/ML, data engineering, and automation within B2B industrial contexts, with responsibilities spanning architecture, data pipelines, model development, and governance.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, Operations Research, or related technical discipline.
• Minimum of seven (7) years designing, building, and deploying AI/data solutions with production experience.
• Proficiency in Python and data-science libraries; strong SQL and data engineering skills.
• Experience with cloud AI/data platforms (Azure preferred) and modern MLOps.
• Ability to manage third-party AI partners/consultants.
• Strong project management and ability to lead in a lean, matrixed org.
• Excellent written and verbal communication to convey technical concepts.

Responsibilities

• Design end-to-end AI solutions, defining architecture, data connections, platforms and integrations.
• Incorporate security, privacy, and governance by design; ensure Responsible AI standards.
• Build and maintain data pipelines across plant and enterprise systems; support data lake/ lakehouse and SAP integration.
• Develop, validate, and deploy models using ML, generative AI, optimization and simulation.
• Design and apply RPA and multi-agent solutions; ensure secure integration with enterprise data and tools.
• Lead delivery through scoping, execution, testing, and production hand-off with business accountability.
• Manage third-party AI partners and contractors; participate in an AI Center of Excellence.

Skills

Python & data libraries

SQL & data engineering

Azure cloud AI

Vendor & partner management

Project management

Effective communication

Education

Bachelor's degree in CS/DS/Engineering/OR

Master's degree preferred

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Senior Mgr, AI & Digital Solution Delivery

Wayne, PA, US

JOB SUMMARY

The Senior Manager, AI & Digital Solution Deliveryis responsible for helping to create, deploy, and maintain artificial intelligence solutions across Ecovyst. Reporting to the Senior Director, AI Transformation, the incumbent serves as the principal technical partner who owns solution delivery — defining architecture, engineering data, developing and validating models, and carrying solutions through production and ongoing support. While the Senior Director sets overall AI strategy and leads business engagement, this position translates that strategy into secure, sustainable, and measurable technical outcomes.

The ideal candidate brings a rare combination of deep technical expertise in AI/ML, agentic AI, automation solutions, and data engineering, paired with strong business acumen in B2B heavy industry. They will have a proven record of translating complex operational challenges into production-ready AI solutions that generate measurable enterprise value — including in areas such as Commercial Excellence, Plant Reliability, Operational Excellence, Supply Chain, and in general functions (HR, IT, Legal, Finance).

ESSENTIAL DUTIES AND RESPONSIBILITIES

The following duties are representative of the position but are not intended to be all-inclusive:

• Solution Architecture & Design.Design end-to‑end AI solutions, defining architecture, data connections, platforms, third‑party integrations, and both front‑end and back‑end components; establish reusable reference architectures, templates, and pipelines maintained in a central repository.
• Security & Responsible AI.Incorporate cybersecurity, data‑residency, least‑privilege access, and privacy requirements by design; operate within Responsible AI guardrails and partner with IT/Security, Legal, and Privacy to meet enterprise governance and audit obligations.
• Data Engineering.Build and maintain data pipelines; query, aggregate, and join data from plant and enterprise systems — including process historian (PI), DCS/PLC, MES, SAP/ERP, and LIMS — to compile clean master data sets, and support foundational data‑lake/lakehouse and SAP‑integration work scoped to prioritized use cases.
• AI & Data Science Development.Develop, validate, and deploy models using machine learning, generative AI, statistical methods, and optimization/simulation techniques as appropriate; deliver predictive and root‑cause solutions through operator‑ and business‑facing applications with live‑data back ends.
• Automation & Emerging Technology.Design and apply Robotic Process Automation (RPA), AI agents, and multi‑agent solutions to eliminate manual, non‑value‑added work; integrate agents securely with enterprise data, applications, APIs, and tools; and define ownership, monitoring, governance, and maintenance models to keep solutions reliable and sustainable.
• Delivery & Project Management.Serve as the delivery function that takes approved, scoped work through execution, stakeholder engagement, user acceptance testing, and production hand‑off, while business leaders retain overall accountability.
• Vendor & Partner Management.Select, direct, and manage third‑party AI partners, consultants, and contractors; supplement internal capacity for defined project phases and hold vendors to Responsible AI standards.
• Team & Capability Building.Contribute to an enterprise AI Center of Excellence, help build and eventually lead an internal delivery team, and support enablement and upskilling across the organization.

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Data Science, Engineering (Chemical, Mechanical, or Computer), Operations Research, or a related technical discipline.
• Minimum of seven (7) years of experience designing, building, and deploying data science or AI solutions, including demonstrated success carrying solutions through to production.
• Proficiency in Python and common data science libraries, together with strong SQL and data‑engineering skills.
• Experience with cloud AI and data platforms — Microsoft Azure preferred, including Azure AI Foundry and/or Azure OpenAI — and modern MLOps practices.
• Demonstrated ability to select, direct, and manage third‑party AI partners, consultants, and contractors.
• Strong project‑management capability and the ability to lead through ambiguity within a lean, matrixed organization.
• Effective written and verbal communication skills, with the ability to convey technical concepts to non‑technical audiences.

PREFERRED QUALIFICATIONS

• Master's degree (or higher) in a quantitative, engineering, or computational discipline preferred.
• Experience in an industrial or manufacturing environment (specialty chemicals, refining, or other asset‑intensive operations).
• Familiarity with plant and enterprise data sources, including the OSIsoft/AVEVA PI process historian, DCS/PLC systems (e.g., DeltaV), MES, SAP/ERP, and LIMS.
• Hands‑on experience designing and deploying AI agents and multi‑agent systems, including Model Context Protocol (MCP), API‑based integration, tool/function calling, agent orchestration, memory and retrieval patterns, identity and access controls, observability, evaluation, and human‑in‑the‑loop governance; experience with RPA and establishing an AI Center of Excellence is also preferred.
• Mathematical optimization (LP, MILP, NLP), simulation, and digital‑twin experience.
• Experience supporting Responsible AI governance in collaboration with Security, Legal, and Privacy functions.
• Project Management Professional (PMP) and/or Lean Six Sigma certification.

PHYSICAL REQUIREMENTS AND WORKING CONDITIONS

• Hybrid work schedule based out of the Malvern, PA office
• Periodic travel (up to approximately 20%) to manufacturing sites, including Houston, TX, to observe processes and collaborate with plant personnel.
• May require obtaining a Transportation Worker Identification Credential (TWIC) for access to certain facilities.