{"id":2450709,"url":"https://alion.io/job/c5mi-industry-4-0-solution-engineer-production-analytics","title":"Industry 4.0 Solution Engineer – Production Analytics","company":{"id":2024464,"name":"C5MI","domain":"c5mi.com","url":"https://alion.io/company/c5mi","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":135000,"currency":"USD","period":"year","gross":null,"usd_annual":135000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"JavaScript","optional":false},{"name":"Looker","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"MS SQL","optional":false},{"name":"Power BI","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"QlikSense","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"TypeScript","optional":false},{"name":"Azure Data Factory","optional":true},{"name":"Spark","optional":true},{"name":"Time Series Forecasting","optional":true},{"name":"Wi-Fi","optional":true}],"status":"live","first_seen_at":"2026-10-13T13:09:34Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-13T18:54:06Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"C5MI is not your typical consulting firm. We are a high-performance team of SAP and supply chain experts who solve complex, mission critical challenges for organizations that cannot afford failure.\nWe hire consultants who thrive in complexity, move fast, take ownership, and deliver under pressure. At C5MI, you will not be siloed or stuck in theory. You will be hands on, client facing, and directly influencing outcomes that matter.\nOur culture rewards initiative, accountability, and continuous growth. This is a place where your expertise is valued, your work is meaningful, and your performance truly matters. If you’re energized by learning through real-world challenges, collaborating with top-tier talent, and expanding your capabilities every day, C5MI is where strong consultants level up.\nPosition Summary:\nThe Industry 4.0 Solution Engineer - Production Analytics is a delivery-focused, client-facing technical role responsible for building and proving the data products that operations leaders act on every shift. On the Blue Bird RTLS Phase II engagement (Fort Valley, GA), the incumbent owns the onshore build and verification of the Digital Production Control Center (DPCC) and its supporting Power BI product family, working within the reference architecture established by the Senior RTLS Engineer (edge, KINEXON OS, and anchor grid) and the Senior Technical Fellow - Industry 4.0. The role translates KINEXON UWB Real-Time Location System (RTLS) event streams, VersaCall Digital Andon events, and Infor CloudSuite Automotive (CSA) ERP data into a governed Microsoft Fabric / OneLake medallion data estate (Bronze / Silver / Gold) and a trusted semantic layer. A defining responsibility of this position is onshore ownership of correctness: authoring precise, testable build specifications for offshore development partners, formally reviewing and accepting their deliverables, and validating that reported production metrics (Takt attainment, work-in-process position, dwell time, defects per unit, Andon response, and automated backflush) match observed reality on the assembly line. The incumbent works directly with Blue Bird operations, materials, quality, and information technology stakeholders, and contributes the reusable build patterns that will carry into subsequent line rollouts and future phases.\nEssential Functions & Responsibilities\nBuilds, 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.\nDevelops 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.\nOwns 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.\nAuthors 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.\nReviews, 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.\nPerforms 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.\nTranslates 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.\nImplements 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.\nLeads 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.\nDelivers 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.\nImplements 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.\nAuthors 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).\nSupports commissioning, site acceptance testing, end-user training, and hypercare at customer facilities, including DPCC user adoption and first-line triage of reported issues.\nContributes reusable report templates, semantic model patterns, and specification templates that reduce build cost and rework on subsequent line rollouts and future engagement phases.\nEngages 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.\nAdheres 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.\nPerforms other related tasks as assigned by direct supervisor.\nMinimum Requirements:\nBachelor’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.\nFive (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.\nDemonstrated 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.\nStrong 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.\nDemonstrated ERP experience (SAP, Infor, or comparable), including integration, master data, and the full data migration and validation lifecycle.\nProficiency 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.\nDemonstrated ability to author precise, testable technical specifications and acceptance criteria, and to formally validate delivered work against them.\nProven requirements elicitation and process analysis capability: facilitated working sessions, JAD sessions, as-is / to-be process mapping, gap analysis, and traceable requirements documentation.\nWorking 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.\nAbility to present technical material and deliver live system demonstrations to client stakeholders, including operations leadership.\nAbility to work effectively in a professional services delivery model, including billable utilization targets, concurrent workstreams, and direct accountability to client sponsors.\nWillingness and ability to travel domestically up to fifty percent (50%), with sustained on-site presence at customer facilities (initially Fort Valley, GA) during active build, commissioning, and hypercare phases.\nUS 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.\nNice to Have:\nExperience specifying for, directing, or formally accepting the work of offshore or geographically distributed development teams, including written specification handoff, asynchronous review, and defect management.\nSpecific Microsoft Fabric experience: Lakehouse and Warehouse, Data Factory pipelines, Notebooks and Spark, Direct Lake semantic models, deployment pipelines, and Microsoft Purview governance.\nExperience 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.\nExposure 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.\nFamiliarity with the RAMI 4.0 reference architecture, the Asset Administration Shell (AAS), and the Purdue Enterprise Reference Architecture (ISA-95 / IEC 62264).\nExperience with digital Andon or production call systems (VersaCall or comparable) and with MES or shop-floor execution platforms.\nInfor CloudSuite Automotive (CSA) or other discrete / automotive ERP experience, including production order, bill of material, and backflush mechanics.\nLean manufacturing and continuous improvement grounding: Toyota Production System, value stream mapping, DMAIC, or Six Sigma Green Belt / Black Belt certification.\nRelevant 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.\nPrior experience in automotive, bus and truck, heavy equipment, aerospace and defense, or material handling manufacturing environments.\nPrior consulting or professional services experience, including billable delivery, estimation, and change control.\nFamiliarity with operational technology and industrial cybersecurity concepts: NIST SP 800-82, IEC 62443, or NIST SP 800-171 / CMMC 2.0.\nCompensation: In accordance with pay transparency law, the expected salary range for this position is $100,000 - $135,000 annually. The actual compensation offered will be determined based on factors such as the candidate’s experience, qualifications, skills, and location. We are committed to fair and equitable compensation practices. This posted range reflects our good faith estimate of the compensation we reasonably expect to offer for this role at the time of posting.\nApplication Deadline: We anticipate this job posting will be posted until 12/1/2026.\nBenefits:\nC5MI offers a market competitive suite of benefits including medical, de...","description_format":"text","description_chars":15026,"description_truncated":true,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Enterprise Apps Implementation Partners"],"lifecycle":[{"event":"open","at":"2026-10-13T14:45:40Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":23,"reasons":["conf:2","win:early"],"computed_at":"2026-10-13T20:59:04Z"},"pay":{"stated_usd_annual":135000,"is_top_pay":false},"html_url":"https://alion.io/job/c5mi-industry-4-0-solution-engineer-production-analytics","json_url":"https://alion.io/job/c5mi-industry-4-0-solution-engineer-production-analytics.json","meta":{"generated_at":"2026-10-13T20:59:04Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":32177,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2024464},"rest":"https://alion.io/mcp/rest/get_company?id=2024464"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fc5mi-industry-4-0-solution-engineer-production-analytics"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fc5mi-industry-4-0-solution-engineer-production-analytics"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fc5mi-industry-4-0-solution-engineer-production-analytics"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/c5mi-industry-4-0-solution-engineer-production-analytics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fc5mi-industry-4-0-solution-engineer-production-analytics"}]}