Logistics Engineer - Warehouse Process Specialist

The Logistics Engineer is a key member of the logistics warehouse team and is responsible for driving world class performance in operations, customer service, and productivity within our distribution centers. This role leads to continuous improvement using the Schneider Performance System (SPS), with a strong focus on warehouse flow optimization, warehouse design, and governance of process controls enabled by Industry 4.0 (4IR) tools and technologies.The Logistics Engineer combines core industrial engineering skills with advanced data analytics, machine learning, and AI to understand how the warehouse actually operates, identify constraints, and implement robust, data driven solutions. The successful candidate is a hands on leader and influencer who can operate comfortably on the warehouse floor and in digital tools, translating complex analysis into practical actions.What will you do?• Design, analyze, and continuously improve warehouse flow processes (inbound, storage, picking, packing, outbound) to reduce waste, increase throughput, and improve service levels.• Lead warehouse layout and design optimization using IE tools (time studies, capacity models, simulations) and CAD, supported by data driven scenario modeling.• Strengthen and standardize governance of process controls (standard work, work instructions, Time Standards, KPIs, control plans) to ensure stable, repeatable operations.• Use Advanced Data Analytics, ML, and AI tools to: o Detect bottlenecks and inefficiencies in real time.o Analyze demand, workload, and capacity requirements.o Optimize labor planning, slotting, routing, and equipment utilization.• Conduct SMB2 time studies or utilize MTM or video based time measurement software to create and maintain accurate time standards; use these to drive engineered labor standards and productivity improvements.• Build and maintain digital dashboards and monitoring tools (e.g., in Tableau, Power BI, or similar) that provide visibility to performance, process adherence, and exceptions for leaders and operators.• Design and implement automated data pipelines and reporting to support daily management, problem solving, and governance of key warehouse processes.• Identify ergonomic and safety concerns using data (near miss trends, exposure data, motion analysis) and collaborate with EHS and operations to design and implement preventive solutions.• Apply Lean and Six Sigma methodologies, SPS tools, PFMEA, Control Plans, 8D, Fishbone diagrams, and root cause analysis, enhanced by data science and advanced analytics.• Partner with IT, Data, and performance / smart factory teams to leverage 4IR solutions such as IoT sensors, WMS/WCS data, digital twins, and predictive models in daily operations.• Develop business cases and cost/benefit analyses for process and capital improvements, including data driven justification for automation, technology, and layout changes.• Ensure that new processes and tools are embedded into governance: define KPIs, alerts, standard work, SIM (Short Interval management) and update the PIP (Performance Improvement Plan) policy.• Coach supervisors, team leaders, and operators in understanding data, KPIs, and process standards, building a culture of data driven decision making and continuous improvement.• Collaborate with other engineers, designers, maintenance technicians, and cross functional teams to pilot innovations, validate results, and scale successful solutions.Who will you report to?• Distribution Engineering ManagerWhat qualifications will make you successful for this role?• Bachelor of Science, preferably in Industrial Engineering, other Engineering disciplines, Supply Chain, Analytics, Data Science, or a related quantitative field.• Minimum of 3 years of relevant experience in logistics, warehousing, distribution, or manufacturing operations, with clear examples of operational improvements delivered.• Demonstrated experience improving warehouse flow, layout, and material handling processes using industrial engineering and data driven methods.• Experience designing or strengthening process control and governance systems (standard work, KPIs, SIM meetings, escalation, control plans) in an operations environment.• Hands on experience using Advanced Data Analytics to solve operational problems (e.g., productivity, capacity, service, inventory), ideally in a logistics or manufacturing setting.• Exposure to or experience with ML/AI concepts and tools (for example: forecasting models, classification/clustering for segmentation, anomaly detection for process deviations, optimization models for routing or slotting).• Proficiency with analytics tools such as: o SQL for querying and joining large datasets.o Inbuilt automation tools such as Power automate, PowerShell, PowerApps, Copilot Studio, and similar.o At least one data/analytics environment such as Python, C#, or similar.o One or more BI/visualization tools (e.g., Tableau, Power BI, or similar).• Experience with CAD for warehouse layout design and flow modeling is highly desired.• Knowledge of Lean, Six Sigma, or similar process improvement methodologies; certification is a plus.• Strong analytical and problem solving skills, with the ability to structure ambiguous problems, build and test hypotheses, and validate solutions with data.• Excellent communication and storytelling with data skills; able to explain complex analyses to non technical audiences and influence decisions across all levels of the organization.• Proven ability to lead cross functional projects, drive change through influence, and mentor others in data driven and process focused thinking.Bring your expertise to a team that's ready to achieve great things together — apply now!At Schneider, we believe that every employee is a talent who deserves equal opportunities. This means you matter. Every individual needs to feel valued, supported, and treated fairly to do their best work.Our Total Rewards is our way of saying: “We see you. We value you”. It’s more than just pay and benefits- it’s a meaningful investment in you. It is designed for you to perform, grow, feel safe, and elevate your potential to shine as an impact maker.For this U.S. based position, the expected pay range is USD 86,400 - USD 129,600 per year. This pay range includes base pay and short-term incentives. The compensation range for this full-time position applies to candidates located within the United States. Our pay ranges are determined by reviewing roles of similar responsibility and level. Within the pay range, individual pay is determined by several factors including performance, knowledge, job-related skills, experience, and relevant education or training.Schneider Electric is there when it matters most to youOur Total Rewards package outlines all the benefits and support you’ll enjoy as part of the Schneider Electric team:Care for Yourself and Your Family. We ensure you feel secure with benefits that help you and your family thrive: medical (with member reward points), dental, vision, and basic life insurance, Benefit Bucks, flexible work arrangements, paid family leaves, well-being programs, 12 holidays per year, and 15 days of paid time off per year.Invest and Plan Your Future. We help you plan and invest for the future with competitive pay and programs including base salary, incentives, company share ownership, and 401(k) with match.Grow Your Skills and Career. We support development through performance discussions, global opportunities, the Schneider Career Hub, and learning platforms like Coursera.Team Up in the Workplace. We encourage collaboration, recognition, sharing your voice, and an inclusive workplace.Support Your Community. We make a difference through volunteer leave, programs with the Schneider Electric Foundation, youth education initiatives, and military leave benefits.Looking to make an IMPACT with your career?When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us.IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.Become an IMPACT Maker with Schneider Electric – apply today!€40 billion global revenue+9% organic growth150 000+ employees in 100+ countriesYou must submit an online application to be considered for any position with us. This position will be posted until filled.Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter hereSchneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.