Senior Specialist - Industry 4.0 & Manufacturing Data

Senior Data Consultant

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.

Location: Onsite - North Carolina, US

Main 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.

Job benefits:

• Hybrid working

• 21 days PTO

• 401k

• Medical insurance

• Income Protection

• Life Insurance

• Professional development

Qualifications:

• 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

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