Bachelor's degree in Engineering or related field; advanced degree preferred.
5+ years of experience in process engineering within a regulated environment.
Strong understanding of digital transformation and data optimization strategies.
Experience with generative AI and FAIR data principles.
Proficient in data manipulation, transformation, and visualization technologies.
Ability to work effectively with cross-functional teams.
Exceptional communication skills for managing stakeholders across technical and business domains.
Responsibilities
Support enterprise digital transformation initiatives in manufacturing and process engineering.
Combine process engineering and digital expertise to modernize data capture and analysis.
Transform manufacturing data into scalable digital solutions for efficiency improvements.
Collaborate with multiple teams on digital integration and data-driven initiatives.
Manage historian and operational data systems for enhanced analytics capabilities.
Develop scalable data models and dashboards using tools like Databricks and Grafana.
Focus on AI-driven process improvements and stakeholder engagement.
Benefits
Collaborative work environment encouraging digital and process innovation.
Opportunity to engage in cutting-edge projects involving AI and data analytics.
Cross-functional experience working with various departments.
Professional development and continued learning opportunities.
Flexible work arrangements to support work-life balance.
Full Job Description
Roles & Responsibilities:
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.
pproximately 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.
