Digital Process Engineer

Katalyst CRO; Cincinnati (OH); On-site; USD 85,000 - 110,000; Full time

Job summary

Katalyst CRO in Cincinnati, Ohio, is looking for a Digital Process Engineer to enhance digital transformation in manufacturing and operational data optimization. The role blends process engineering knowledge with advanced digital capabilities, focusing on generative AI and data strategy.

Key responsibilities include developing scalable data models, integrating analytics platforms like Databricks and Grafana, and working with various teams to foster data-driven initiatives.

Qualifications

• Experience supporting generative AI initiatives and data contextualization.
• Understanding of FAIR data principles.
• Strong background in process engineering within manufacturing environments.

Responsibilities

• Support historian and operational data systems.
• Develop scalable data models and dashboards.
• Integrate platforms for advanced analytics and visualization.

Skills

Process engineering knowledge

Data analysis

Generative AI experience

Stakeholder management

Data visualization

Tools

Databricks

Grafana

Job description

• We are seeking a highly collaborative Digital Process Engineer to support enterprise digital transformation initiatives focused on manufacturing, process engineering, and operational data optimization within a regulated environment.
• This role will combine process engineering knowledge with advanced digital and data capabilities to help modernize how process data is captured, analyzed, visualized, and leveraged across the organization.
• The ideal candidate will be digitally fluent with experience supporting generative AI initiatives, FAIR data principles, data contextualization, and intelligent document authoring solutions designed to streamline and revolutionize technical documentation workflows.
• This individual will play a key role in transforming manufacturing and process data into scalable digital solutions that improve operational efficiency, decision-making, and knowledge management.
• The engineer will work cross-functionally with Quality, Automation, Global Engineering, Manufacturing, Equipment, and Systems Infrastructure teams to support digital integration and data-driven initiatives.
• Responsibilities include supporting historian and operational data systems, data manipulation and transformation activities, development of scalable data models and dashboards, and integration of platforms such as Databricks and Grafana to enable advanced analytics and visualization capabilities.
• Approximately 35% of the role will require strong process engineering and manufacturing understanding, while the remaining focus will center on digital enablement, data strategy, and AI-driven process improvements.
• Candidates should possess excellent communication and stakeholder management skills, with the ability to operate effectively across both technical and business-facing teams in a fast-paced transformation environment.