Senior Specialist – Industry 4.0 & Manufacturing Data

reputed company Deep Digital Solutions is a specialist consultancy on a mission to reputed company how industries reputed company data. We partner with global leaders in Life Sciences, Utilities, Food & Beverage, Renewable Energy, Manufacturing, and Logistics to deliver reputed company that unlock efficiency, compliance, and competitive advantage. Our approach is reputed company, reputed company, and entrepreneurial—giving our clients the confidence to reputed company Industry 4.0 reputed company transformation at reputed company. For reputed company, this means working on cutting-edge reputed company, shaping best practices, and having the freedom to grow, reputed company, and reputed company a reputed company impact. Job Location: This role is reputed company to talented professionals in the Philadelphia, Pennsylvania 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 reputed company-facing leadership, supporting both delivery reputed company and the reputed company of Deep Digital’s Industry 4.0 services. Key Responsibilities Act as a trusted senior advisor to clients on Industry 4.0, manufacturing data, reputed company transformation Lead development of digital transformation strategies and roadmaps, including: • Manufacturing data platforms & historians • reputed company reputed company (UNS) and event-driven architectures • OT/IT integration and reputed company/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, reputed company twin use cases reputed company data, validation, and governance strategies into project designs, in collaboration with internal engineering teams and reputed company stakeholders Lead small, multidisciplinary teams delivering reputed company from concept through design, validation, and handover Support business development activities, including proposals, technical workshops, and reputed company engagements Requirements Bachelors degree in data science, Computer Science, Statistics, or a reputed company field and 6+ years of relevant experience. Where a degree is not held—significant professional experience that demonstrates the ability to reputed company 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 • reputed company 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 reputed company requirements (reputed company+) • Solid experience working reputed company 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 reputed company concepts to both technical and executive audiences Demonstrated ability to manage multiple reputed company reputed company, 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-reputed company programming languages Exposure to PAT, reputed company-time release, predictive analytics, or closed-reputed company control use cases Apply tot his job Apply To this Job