Senior Specialist – Industry 4.0 - Raleigh

Only for registered members Raleigh, United States

10 hours ago

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About Us · Deep Digital Solutions is a specialist consultancy on a mission to transform how industries harness data. We partner with global leaders in Life Sciences, Utilities, Food & Beverage, Renewable Energy, Manufacturing, and Logistics to deliver innovative solutions that un ...
Job description
About Us
Deep Digital Solutions is a specialist consultancy on a mission to transform how industries harness data.

We partner with global leaders in Life Sciences, Utilities, Food & Beverage, Renewable Energy, Manufacturing, and Logistics to deliver innovative solutions that unlock efficiency, compliance, and competitive advantage.


Our approach is bold, collaborative, and entrepreneurial—giving our clients the confidence to embrace Industry 4.0 and digital transformation at scale.

For our team, this means working on cutting-edge projects, shaping best practices, and having the freedom to grow, innovate, and make a real impact.


Job Location:


This role is open to talented professionals in the Raleigh, North Carolina region or people who are willing to locate to that region.


Role:


We are seeking a Senior Specialist – Industry 4.0 & Manufacturing Data to act as a technical authority and strategic advisor across digital manufacturing initiatives.

This role blends deep technical expertise, regulated-industry rigor, and client-facing leadership, supporting both delivery excellence and the growth of Deep Digital's Industry 4.0 services.

Key Responsibilities
Act as a trusted senior advisor to clients on Industry 4.0, manufacturing data, and digital transformation
Lead development of digital transformation strategies and roadmaps, including:
Manufacturing data platforms & historians
Unified Namespace (UNS) and event-driven architectures
OT/IT integration and cloud/hybrid data strategies
Guide technology selection and architecture across:
Control systems and OT platforms
MES, LIMS, QMS, CMMS, and enterprise integrations
Data integration, streaming, and contextualisation platforms
Advanced analytics, AI/ML, and digital twin use cases
Embed data, validation, and governance strategies into project designs, in collaboration with internal engineering teams and client stakeholders
Lead small, multidisciplinary teams delivering projects from concept through design, validation, and handover
Support business development activities, including proposals, technical workshops, and client engagements

Requirements
Bachelors degree in data science, Computer Science, Statistics, or a related field and 6+ years of relevant experience. Where a degree is not held—significant professional experience that demonstrates the ability to excel in this role.
Deep experience/understanding across Industry 4.

0 domains, including:
Control systems, automation, and OT environments.
Manufacturing data historians and platforms
IT/OT integration, networking, and cybersecurity
Cloud and hybrid infrastructure
Vertical and horizontal system integration (MES–ERP–Enterprise)

Strong understanding of:
Data warehousing concepts, ETL/ELT processes, and data governance models
ISA-88 and ISA-95 standards for batch and manufacturing operations
FAIR data principles and data integrity requirements (ALCOA+)
Solid experience working within GAMP 5 frameworks and Computer Systems Validation (CSV) in regulated manufacturing environments


Preferred Skills:
Excellent verbal, written, and presentation skills, with the ability to communicate complex concepts to both technical and executive audiences
Demonstrated ability to manage multiple concurrent projects, prioritise effectively, and meet deadlines
Strong problem-solving skills with high attention to detail
Understanding of ontologies and semantic models and their role in data standardisation and interoperability
Experience with data visualisation or analytics tools (e.g. Power BI, Tableau, Grafana)
Hands-on experience with SQL, Python, R, or similar data-focused programming languages
Exposure to PAT, real-time release, predictive analytics, or closed-loop control use cases


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