Senior Specialist – Industry 4.0 & Manufacturing Data
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 remote, so is open to talented professionals across the US. It is a requirement for you to be in the US. 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