{"id":2575510,"url":"https://alion.io/job/cummins-industrial-engineer-senior","title":"Industrial Engineer - Senior","company":{"id":1758413,"name":"Cummins","domain":"cummins.com","url":"https://alion.io/company/cummins-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":82,"open_postings":65,"ghost_share":0,"stale_share":0.923,"repost_share":0,"time_to_fill_p50_days":11,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":10000,"max_usd":28000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":23},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-07-23T08:38:38Z","employer_posted_date":"2026-07-23","last_verified_at":"2026-10-15T12:01:53Z","board_verified":true,"closed_at":null,"days_open":84,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":84},"description":"Job Summary:\n Designs, improves, and installs integrated manufacturing or administrative systems which use people, materials, information, equipment, and energy.Key Responsibilities:\n Leads work studies for new and current production lines. Leads standard work methods for new and current production lines. Leads the work for specific projects to create and implement all aspects of a manufacturing processes to ensure safety requirements, manufacturing goals, business goals, and product specifications are met. Leads by applying the knowledge or use of manufacturing principles and practices to improve manufacturing equipment and processes. Maintains the application of Cummins standards and develops manufacturing standards. Leads the communications with and influences key external stakeholders, business leaders, and functional members. Works with internal and external resources on specific project assignments. Leads the advanced knowledge of manufacturing principles and practices as they are applied to Cummins. Maintains relationships and coaches key stakeholders. Competencies:Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.\nErgonomic Fundamentals - Understands ergonomic concepts by applying Cummins ergonomic standards, guidelines, controls and tools to reduce ergonomic risk to employees while at work.\nHealth and Safety Fundamentals - Champions and models proactive health and safety behaviors by identifying, reporting and participating in actions to improve health and safety in order to build an interdependent culture and contribute to an injury-free workplace.\nLine Balancing - Evaluates work activities performed by individuals or machines to identify opportunities to optimize operating time and distributing of the work content to meet the changes in customer demands while continuing to optimize manufacturing processes.\nManufacturing Analysis Led Design - Uses digital tools to model and simulate manufacturing processes, equipment and performance to make data driven decisions before changes are made and to drive continuous improvements.\nManufacturing Knowledge - Demonstrates the knowledge of manufacturing by correctly implementing changes in current processes, equipment, and applications to meet the function's needs and contribute towards continuous improvement.\nProcess Layout - Creates and/or modifies an optimized manufacturing process by incorporating knowledge of equipment, human interfaces, sequences of production steps, and facilities requirements in order to reduce process time and waste.\nWork Measurement - Quantifies and evaluates the elements of work that make up a process by breaking it down into detailed steps to identify and reduce waste, and redistribute work content to optimize process flows.\nValues differences - Recognizing the value that different perspectives and cultures bring to an organization.\nCollaborates - Building partnerships and working collaboratively with others to meet shared objectives.\nContinuous Process Improvement - Recognizes areas in which a process can be improved by properly implementing process improvement and waste reduction methodologies to reduce process cost and improve quality in current manufacturing processes.\nDrawing Interpretation - Integrates product design and manufacturing equipment engineering drawings to support the design and development of an optimal manufacturing process that meets product design specifications.\nIndustrial Engineering Knowledge - Integrates the pillars of industrial engineering techniques by applying a comprehensive and quantitative analysis to available data to be used as decision factors for the development or improvement of manufacturing processes to contribute to the most efficient process.\nEducation, Licenses, Certifications:\nCollege, university, or degree in STEM (Science, Technology, Engineering, Math) or related field, or equivalent experience required.\nThis position may require licensing for compliance with export controls or sanctions regulations.\nExperience:\nIntermediate level relevant work experience required. \nJob Description: Industrial Engineer Senior\nRole Summary: We are seeking an Industrial Engineering professional with strong expertise in discrete manufacturing, industrial engineering, and data analytics. This role will transform manufacturing data into actionable insights, drive continuous improvement, and support the deployment of AI and analytics solutions across plant operations.\nKey Responsibilities\nAnalyze data from digital manufacturing systems such as CMES, Connected Factory, Maximo, Q-DAS, OEE platforms, and other plant applications to identify improvement opportunities.\nPartner with Operations, Manufacturing Engineering, Maintenance, Quality, and Supply Chain teams to understand process challenges and convert them into data-driven improvement projects.\nDevelop dashboards, analytics models, and performance insights to improve productivity, equipment utilization, quality, cost, and operational efficiency.\nSupport AI and machine learning use cases by providing manufacturing domain expertise, validating data logic, and helping enterprise AI teams translate plant requirements into practical solutions.\nPerform data validation, root-cause analysis, and performance investigations using SQL, Python, Power BI, and other analytics tools.\nIdentify bottlenecks, waste, process variation, and reliability issues, then recommend practical actions to drive measurable business improvements.\nFacilitate Industry 4.0 analytics workshops, train plant teams on analytics tools, and build capability for data-driven decision making.\nDesign and support Operations Control Tower concepts by integrating data from manufacturing, maintenance, quality, and ERP systems to provide a consolidated view of operations.\nRequired Skills & Qualifications\nBachelor’s degree in industrial engineering, Manufacturing Engineering, Mechanical Engineering, Production Engineering, or a related field.\nStrong understanding of discrete manufacturing processes, plant operations, lean manufacturing, industrial engineering methods, and continuous improvement practices.\nHands-on experience with manufacturing performance metrics such as OEE, throughput, downtime, cycle time, productivity, quality losses, and cost improvement.\nProficiency in data analytics tools and methods, including SQL, Python, Power BI, statistical analysis, and data visualization.\nAbility to work with large operational data sets, validate data quality, identify trends, and convert analysis into business actions.\nExperience collaborating with cross-functional plant teams and translating shop-floor challenges into analytics or AI use cases.\nStrong communication, stakeholder management, problem-solving, and project execution skills.\nPreferred Experience\nExperience in Industry 4.0, smart manufacturing, connected factory, MES, ERP, or digital manufacturing platforms.\nExposure to AI, machine learning, predictive analytics, or advanced operations analytics in a manufacturing environment.\nExperience leading value stream improvement, or data-driven productivity projects.\nAbility to influence plant stakeholders and drive adoption of analytics-based improvement actions.\nLooking at the data we gather 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