{"id":2738120,"url":"https://alion.io/job/price-industries-production-engineering-data-steward","title":"Production - Engineering Data Steward","company":{"id":2828437,"name":"Price Industries","domain":"priceindustries.com","url":"https://alion.io/company/priceindustries-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":{"grade":"B","score":79,"open_postings":14,"ghost_share":0,"stale_share":0.857,"repost_share":0,"time_to_fill_p50_days":37,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Raleigh, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":74000,"max_usd":153000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":356},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Power Automate","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"Jira","optional":true},{"name":"Master Data Management","optional":true},{"name":"Power BI","optional":true},{"name":"Rest API","optional":true}],"status":"live","first_seen_at":"2026-10-16T05:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-23T00:01:16Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Data Steward\nPrice Electronics, a division of Price Industries · Winnipeg, Manitoba\nDEPARTMENT Software Engineering\nLOCATION Winnipeg, MB (on-site)\nEMPLOYMENT Permanent, full-time\n\nAbout the role\nAs our Data Steward, you’ll keep the master data that runs our business in Epicor Kinetic defined, correct and ready to use: parts, revisions, BOMs, routings, customers and suppliers, and the transactions built on them.\nYou’ll join as we move from IFS to Epicor Kinetic, and your first priority is getting our data there cleanly: extracting it from IFS, cleansing and mapping it, running test conversions and proving the results before go-live.\nAfter go-live, the job becomes keeping that data right for the long term: you'll maintain our data standards, run regular checks and fix what they find, make sure every new product, customer and supplier is set up correctly before it's used, and train the people who create data.\nThis is a hands-on role: you’ll do the data work yourself, using company-approved AI assistants and automation where they enable improvements in accuracy and efficiency, then bring the results to the functional managers who own each area for approval. You’ll work closely with production, engineering, supply chain, quality, sales and IT.\nWhat you’ll do\nLead our data migration. Extract, cleanse and map data from IFS to Epicor Kinetic with our ERP team and Epicor’s conversion consultant; build DMT load files; run test conversions and reconcile counts and totals; prepare the decisions we need before the first load; and help decide what historical data to migrate, archive or retire.\nSet data standards. Starting with the data our key reports and decisions depend on, draft definitions, allowed values and naming conventions for parts, manufacturer part numbers, BOMs, routings, customers, suppliers and reference data, and keep the data dictionary current.\nImprove data quality. Profile data for completeness, accuracy and duplicates; build repeatable checks in Excel, SQL or Python; and create exception reports and quality dashboards (e.g., Kinetic BAQs).\nClean up records. Correct records that break approved rules, and identify and, with the owner’s approval, retire duplicate and obsolete parts, customers and suppliers.\nSupport new products. Check that parts, revisions, BOMs and routings are complete before a new build is released, and that new customers and suppliers meet setup standards before first use.\nResolve data issues. Log and prioritize issues by business impact, find the root cause, and fix the data or recommend the fix.\nKeep us audit-ready. Maintain approvals, validation evidence and decision logs for critical data changes, support quality-system traceability (e.g., ISO 13485), check that access to sensitive data matches its classification, and report changes to critical fields to their owners.\nTrain and improve. Train, the people who create and maintain data, report on data quality, and recommend process and system improvements.\nOther technical duties as assigned as our systems and products evolve.\nWhat you bring\nRequired\nDiploma or degree in information systems, data science, business, supply chain, engineering technology or related field, or equivalent experience.\nHands-on experience with item, BOM, routing, customer and supplier data in a manufacturing ERP, including bulk data loads with import templates or tools.\nERP data migration or implementation experience, including at least one conversion from a legacy system.\nWorking knowledge of part revisions, BOMs, routings and engineering change control.\nAdvanced Excel (lookups, pivot tables, Power Query) and SQL or Python for querying, deduplicating and validating data.\nStrong attention to detail, and the confidence to push back on non-compliant data and escalate when needed.\nStrong technical communication skills: able to write clear data standards, procedures and issue reports, and explain data problems and their business impact to engineering, production, supply chain, quality, sales and IT.\nPractical experience using AI assistants (e.g., Claude, ChatGPT) and automating repetitive work (e.g., scripts, scheduled checks, Power Automate), with the judgment to check the output and protect sensitive data.\nNice to have\n2+ years in master data management, data stewardship or data quality, ideally in manufacturing or electronics.\nExperience with Epicor Kinetic or Epicor ERP 10 (including DMT, BAQs and BPMs) or IFS.\nPython with pandas for repeatable checks; Kinetic REST API experience is a plus.\nExperience in contract electronics manufacturing (EMS) or a regulated quality environment (ISO 13485, ISO 9001, AS9100).\nPower BI, Azure DevOps or Jira.\nDAMA CDMP or another data management certification.","description_format":"text","description_chars":4729,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-16T19:45:51Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.629,"p_room":1,"age_days":6,"expected_fill_days":37,"reasons":["conf:1","stale_co","velocity","win:early","comp:junior"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/price-industries-production-engineering-data-steward","json_url":"https://alion.io/job/price-industries-production-engineering-data-steward.json","meta":{"generated_at":"2026-10-23T03:59:50Z","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":6555,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"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":2828437},"rest":"https://alion.io/mcp/rest/get_company?id=2828437"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fprice-industries-production-engineering-data-steward"},{"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%2Fprice-industries-production-engineering-data-steward"},{"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%2Fprice-industries-production-engineering-data-steward"},{"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/price-industries-production-engineering-data-steward\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fprice-industries-production-engineering-data-steward"}]}