Senior Manufacturing Data Architect & Digital Integration

HireLifeScience; Wilmington (DE); On-site; USD 120,000 - 170,000; Full time

Job summary

HireLifeScience seeks a Senior Specialist in Manufacturing Data Engineering & Digital Integration to lead data platforms, analytics, and AI-enabled capabilities across GMP operations. You will transform manufacturing and lab data into scalable data products, ensuring data governance and regulatory compliance.

The role requires deep expertise in data engineering, AI/ML, and enterprise integrations, with leadership responsibilities across OT/IT, MES, ERP, and cloud analytics environments.

Qualifications

• Bachelor's degree in data science, computer science, or related quantitative field with minimum five years in data engineering, system integration, analytics, or AI/ML solution development.
• Demonstrated experience leading, mentoring, or directing technical contributors or complex cross-functional projects.
• Advanced proficiency in Python and SQL, with working knowledge of R, PowerShell, or JavaScript.
• Hands-on experience with data integration technologies, REST APIs, relational databases, data modeling, and enterprise integration patterns.
• Experience in regulated environments with SDLC, computerized system validation, data integrity, and cybersecurity practices.

Responsibilities

• Provide senior leadership for manufacturing data engineering, analytics, and digital integration initiatives.
• Translate complex manufacturing challenges into scalable technical strategies and delivery plans.
• Lead cross-functional technical work, mentor data engineers and analysts, review deliverables for rigor and quality.
• Design and direct integrations among MES, LIMS/CDS, ERP, cloud analytics, SCADA/DCS, and OT/IT systems.
• Develop and oversee data pipelines, APIs, and integration patterns across OT and IT platforms.
• Define data models, interface specs, and architecture decisions for complex digital projects.
• Lead troubleshooting of high-impact data flow, connectivity, and performance issues.
• Own end-to-end lifecycle of manufacturing data products from discovery to sustainment.
• Oversee configuration and administration of AVEVA PI, Power BI, data lakes, and cloud analytics.
• Prepare, structure, model, and contextualize datasets for dashboards and self-service analytics.
• Design scalable analytical workflows integrating process automation, lab, quality, and environmental data.
• Lead AI/ML deployment for manufacturing use cases including predictive analytics and process monitoring.
• Guide AI-powered apps, digital assistants, and generative AI with enterprise platforms.
• Assess feasibility, data readiness, and model risk before industrializing AI solutions.
• Ensure data pipelines and dashboards comply with data governance, cybersecurity, and GxP/cGMP.

Skills

Python

SQL

Data engineering

Leadership

SDLC

Education

Bachelor's degree in data science or related field

Master's degree preferred

Tools

AVEVA PI System

SEEQ

Power BI

Ignition

Spotfire

Tableau

Dataiku

TensorFlow

PyTorch

Scikit-learn

Azure

AWS

Job description

HireLifeScience seeks a Senior Specialist in Manufacturing Data Engineering & Digital Integration to lead data platforms, analytics, and AI-enabled capabilities across GMP operations. You will transform manufacturing and lab data into scalable data products, ensuring data governance and regulatory compliance.

The role requires deep expertise in data engineering, AI/ML, and enterprise integrations, with leadership responsibilities across OT/IT, MES, ERP, and cloud analytics environments.