What are the responsibilities and job description for the Senior Principal Architect, Industry 4.0 & Digital Manufacturing position at EROS Technologies Inc?
Strategic Architecture & Leadership:
- Define, assess, and champion Client’s global Industry 4.0 architecture strategies, standards, and roadmaps, ensuring alignment with corporate business goals.
- Act as a change agent, promoting the adoption of modern methodologies like Agile and DevOps, as well as cloud-first and API-first principles across manufacturing IT.
- Provide technical and functional leadership, mentoring junior architects and engineers to build a strong internal competency in Industry 4.0 technologies.
End-to-End Traceability:
- Architect and oversee the implementation of a comprehensive end-to-end traceability system, encompassing material and component-level tracking from supplier to customer.
- Design and govern data models for real-time visibility and context, ensuring the integrity of a complete "digital thread" across the manufacturing lifecycle.
- Define integration strategies for diverse systems, including OT (e.g., SCADA, PLCs) and IT (e.g., MES, ERP) to enable seamless data flow for traceability.
Unified Namespace (UNS) & Data Platform:
- Lead the design and implementation of a Unified Namespace (UNS) and industrial data model to standardize and contextualize operational data across all manufacturing sites.
- Architect and deliver the IIoT cloud data platform, including data ingestion pipelines, storage solutions, and data lake/warehouse architectures.
- Establish data governance and quality frameworks, including metadata management and data lineage, to ensure reliable data for all applications.
Operational Excellence (OEE) and Analytics:
- Develop a robust, real-time Overall Equipment Effectiveness (OEE) monitoring and optimization solution by integrating shop-floor data with enterprise-level analytics.
- Utilize advanced analytics and AI/ML to identify and improve areas of operational inefficiency, maximizing asset utilization and productivity.
Predictive Maintenance (PdM):
- Design and deploy AI/ML-based predictive maintenance solutions to anticipate equipment failures, minimize downtime, and optimize maintenance schedules.
- Integrate data from IIoT sensors, control systems, and enterprise asset management (EAM) to build and refine predictive models.
Techno-Functional Expertise & Stakeholder Management:
- Act as a senior liaison between business stakeholders (Manufacturing, Supply Chain, Operations) and technical teams, translating business needs into technical solutions.
- Leverage deep domain knowledge of manufacturing processes to ensure that all digital solutions deliver tangible business value.
- Manage stakeholder expectations, facilitate cross-functional collaboration, and communicate complex technical concepts effectively to both technical and non-technical audiences.
Qualifications
- Bachelor's or master’s degree in computer science, Information Technology, Engineering, or a related field.
- 15 years of experience in IT architecture, solution design, and program management, with a significant portion focused on manufacturing or industrial environments.
- Proven experience in architecting and delivering complex Industry 4.0 projects from concept to deployment.
- Deep expertise in IIoT platforms (e.g., Azure IoT Hub, AWS IoT Core) and cloud computing (e.g., Azure, AWS, GCP).
- Strong experience with industrial protocols (e.g., OPC-UA, MQTT) and data modeling for manufacturing.
- Demonstrated knowledge of advanced manufacturing technologies, including MES, ERP integration, and digital twin concepts.
- Excellent communication, leadership, and problem-solving skills.