Senior Specialist - Industry 4.0 & Manufacturing Data

Deep DSG•Raleigh, NC

25d•Onsite

About The Position

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.

Requirements

Bachelor’s or master's 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

Nice To Haves

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

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: Data integration, streaming, and contextualisation platforms MES, LIMS, QMS, CMMS, and Enterprise integrations Control systems and OT 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.