Digital Process Engineer / Digital Transformation Engineer

Title: Digital Process Engineer / Digital Transformation Engineer
Location: Ohio

Key Responsibilities:

• Support digital transformation initiatives across manufacturing and engineering operations.
• Analyze, transform, and contextualize process and operational data.
• Develop dashboards, visualizations, and scalable data models using platforms such as Databricks and Grafana.
• Support historian and operational data systems to improve data accessibility and insights.
• Collaborate with Quality, Automation, Manufacturing, Global Engineering, Equipment, and Infrastructure teams.
• Contribute to AI and Generative AI initiatives, including intelligent document authoring and process optimization solutions.
• Apply FAIR data principles to improve data quality, governance, and usability.
• Identify opportunities to enhance manufacturing performance through digital and data-driven solutions.

Required Qualifications:

• Bachelor's degree in Engineering, Manufacturing, Data Engineering, or a related field.
• Experience in manufacturing and process engineering environments.
• Hands-on experience with Databricks, Grafana, data analytics, and data visualization tools.
• Knowledge of historian systems, operational technology (OT), and manufacturing data platforms.
• Exposure to Generative AI, digital transformation, or Industry 4.0 initiatives.
• Strong understanding of data modeling, data transformation, and process optimization.
• Excellent communication and stakeholder management skills.

Preferred Qualifications:

• Experience in pharmaceutical, biotech, or other regulated industries.
• Familiarity with FAIR data principles.
• Experience with SQL, Python, Power BI, or similar analytics tools.
• Knowledge of MES, automation systems, and industrial data architectures.