Industry 4.0 Solution Engineer – Production Analytics

C5MI is hiring a client-facing Industry 4.0 Solution Engineer for the Blue Bird RTLS Phase II engagement in Fort Valley, Georgia. The role builds and verifies the Digital Production Control Center and Power BI products, develops governed production analytics data systems, and validates reported metrics against assembly-line operations.

Responsibilities:

• Builds, tests, and maintains the Digital Production Control Center (DPCC) and the supporting Power BI product family (Actual versus Plan and Takt attainment, Andon event and response analytics, WIP position and dwell time, defects per unit and first-pass quality, and material shortage and exception views) to C5MI visual design and performance standards
• Develops and maintains the Microsoft Fabric / OneLake medallion data estate (Bronze / Silver / Gold), including ingestion of RTLS and Andon event streams, ERP master and transactional data, lakehouse and dimensional modeling, incremental refresh, and semantic models tuned for DAX and Direct Lake performance
• Owns the governed semantic layer and KPI dictionary: a single documented definition of every published metric, with lineage traced from source event through to executive tile, so that operations, materials, quality, and finance work from one version of the truth
• Authors detailed, testable build specifications for offshore development partners across the API, Infor, and Microsoft workstreams, including data contracts, transformation logic, edge cases, error handling, and expected results
• Reviews, tests, and formally accepts or rejects offshore deliverables against those specifications; maintains the defect log, drives rework to closure, and escalates persistent quality or throughput issues to the Senior Technical Fellow
• Performs onshore validation of delivered metrics against physical reality on the production line (timed observation at stations, comparison of system-reported dwell and Takt against direct measurement, and reconciliation of automated backflush against actual material consumption) and corrects logic wherever the two diverge
• Translates the zone, geofence, and asset definitions established by the Senior RTLS Engineer into production semantics, including station entry and exit, dwell state, line position, and vehicle progression through the build sequence
• Implements and tests data quality controls across the pipeline, including event completeness and latency monitoring, tag and anchor health checks, duplicate and out-of-sequence event handling, and post-cutover validation test cases
• Leads requirements elicitation with client stakeholders (facilitated working sessions, Joint Application Development (JAD) sessions, gemba walks, and process mapping), converting operational pain points into prioritized, traceable, and testable reporting requirements
• Delivers working sessions, system demonstrations, and readouts to client operations leadership and executive stakeholders, translating data and system behavior into operational and financial language appropriate to the audience
• Implements access and governance controls for delivered data products, including Power BI row-level security, workspace and deployment pipeline management, service account handling, and adherence to customer data handling requirements, including any restrictions applicable to offshore development resources
• Authors technical artifacts to C5MI standards, including data flow diagrams, interface documentation, data dictionaries, semantic model and report specifications, and acceptance test packages aligned with the C5MI Standard Operating Procedures (e.g., the C5MI-SOP-RTLS series)
• Supports commissioning, site acceptance testing, end-user training, and hypercare at customer facilities, including DPCC user adoption and first-line triage of reported issues
• Contributes reusable report templates, semantic model patterns, and specification templates that reduce build cost and rework on subsequent line rollouts and future engagement phases
• Engages constructively with C5MI’s AI-augmented engineering workflows, applying approved internal AI tools to accelerate design, code generation, documentation, and review while validating all output for technical correctness, security, and quality
• Adheres to all certified processes as part of our commitment to maintaining the highest standards of quality and information security, which includes actively participating in quality assurance activities and ensuring the protection of sensitive information in accordance with our security policies
• Performs other related tasks as assigned by direct supervisor

Requirements:

• Bachelor's degree in Engineering, Computer Science, Information Systems, Data Analytics, Industrial Engineering, Economics, or a related quantitative or technical discipline; equivalent professional experience will be considered in lieu of a degree
• Five (5) or more years of experience in data engineering, business intelligence, enterprise systems, or business analysis, including at least two (2) years delivering solutions within a manufacturing, distribution, or industrial operations environment
• Demonstrated hands-on experience building operational and executive dashboards in Power BI (or comparable platforms such as Tableau, Looker, or Qlik Sense), including data modeling, KPI definition, visual design, and query performance optimization
• Strong SQL capability (T-SQL, PL/SQL, or equivalent) and hands-on experience with cloud data platforms and warehouses (Microsoft Fabric, Azure Synapse or Databricks, Snowflake, Google BigQuery, or comparable), including ETL / ELT pipeline development
• Demonstrated ERP experience (SAP, Infor, or comparable), including integration, master data, and the full data migration and validation lifecycle
• Proficiency in at least one programming or scripting language for data work and automation (Python strongly preferred; R, PowerShell, or JavaScript / TypeScript acceptable), and familiarity with Git-based version control workflows
• Demonstrated ability to author precise, testable technical specifications and acceptance criteria, and to formally validate delivered work against them
• Proven requirements elicitation and process analysis capability: facilitated working sessions, JAD sessions, as-is / to-be process mapping, gap analysis, and traceable requirements documentation
• Working knowledge of manufacturing operations concepts (Takt time, cycle time, work-in-process, throughput, first-pass yield, defects per unit, Andon and escalation, and production backflush), sufficient to build metrics that operations leaders will act on
• Ability to present technical material and deliver live system demonstrations to client stakeholders, including operations leadership
• Ability to work effectively in a professional services delivery model, including billable utilization targets, concurrent workstreams, and direct accountability to client sponsors
• US person status required (US citizen, lawful permanent resident, or other US person as defined under ITAR / EAR) due to potential assignment to Department of Defense engagements
• Experience specifying for, directing, or formally accepting the work of offshore or geographically distributed development teams, including written specification handoff, asynchronous review, and defect management
• Specific Microsoft Fabric experience: Lakehouse and Warehouse, Data Factory pipelines, Notebooks and Spark, Direct Lake semantic models, deployment pipelines, and Microsoft Purview governance
• Experience working with event-stream or time-series data (IoT, telemetry, sensor, or transactional event feeds), including deduplication, sequencing, sessionization, and dwell or state-transition logic
• Exposure to Real-Time Location Systems (Ultra-Wideband, BLE, or Wi-Fi RTT) or RFID technologies (RAIN / EPC Gen2); familiarity with KINEXON OS, X-Tags, or UWB anchor infrastructure is a significant plus
• Familiarity with the RAMI 4.0 reference architecture, the Asset Administration Shell (AAS), and the Purdue Enterprise Reference Architecture (ISA-95 / IEC 62264)
• Experience with digital Andon or production call systems (VersaCall or comparable) and with MES or shop-floor execution platforms
• Infor CloudSuite Automotive (CSA) or other discrete / automotive ERP experience, including production order, bill of material, and backflush mechanics
• Lean manufacturing and continuous improvement grounding: Toyota Production System, value stream mapping, DMAIC, or Six Sigma Green Belt / Black Belt certification
• Relevant certifications such as Microsoft Certified Fabric Analytics Engineer Associate, Azure Data Engineer Associate, Power BI Data Analyst (PL-300), CBAP or PMI-PBA, SAFe, or Six Sigma
• Prior experience in automotive, bus and truck, heavy equipment, aerospace and defense, or material handling manufacturing environments
• Prior consulting or professional services experience, including billable delivery, estimation, and change control
• Familiarity with operational technology and industrial cybersecurity concepts: NIST SP 800-82, IEC 62443, or NIST SP 800-171 / CMMC 2.0