EHS Manager

Logistics Analyst

Business Intelligence Analyst

Customer Service Specialist

Sr. Application Developer

Cost Accountant

Master Data Manager

AVP, IAM Program Manager

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Responsibilities: EHS Strategy &amp; Leadership: <ul><li>Develop, implement, and maintain a comprehensive EHS management system aligned with company goals and regulatory requirements.&nbsp;</li><li>Integrate EHS strategy into broader business planning and participate in leadership meetings to influence decision-making.&nbsp;</li><li>Lead change management initiatives to build a proactive safety culture across all levels of the organization.</li></ul> Risk Management &amp; Compliance: <ul><li>Conduct and advise on risk assessments, quantify and prioritize risks, and implement effective control measures.&nbsp;</li><li>Ensure compliance with OSHA, EPA, and other relevant local, state, and federal regulations.&nbsp;</li><li>Oversee contractor and visitor safety programs, including onboarding and compliance tracking.</li></ul> Training &amp; Engagement: <ul><li>Design and deliver engaging EHS training programs tailored to various roles and risk profiles.&nbsp;</li><li>Promote employee engagement through behavior-based safety (BBS), ergonomics, and wellness initiatives.&nbsp;</li><li>Champion inclusive safety practices that consider diverse employee needs and backgrounds.</li><li>Emergency Preparedness &amp; Crisis Management: Develop and maintain emergency response plans, conduct drills, and coordinate with local emergency services.&nbsp;</li><li>Lead crisis management efforts, including communication protocols and post-incident reviews.</li></ul> Environmental Sustainability: <ul><li>Implement and monitor environmental sustainability programs, including waste reduction, energy efficiency, and water conservation.</li><li>Audits, Inspections &amp; Continuous Improvement: Conduct regular audits and inspections to identify hazards and ensure compliance.&nbsp;</li><li>Use data analytics and digital tools to track performance, identify trends, and drive continuous improvement.</li><li>Hazardous Materials &amp; Waste Management: Oversee safe handling, storage, and disposal of hazardous chemicals and waste.&nbsp;</li><li>Ensure proper documentation and training related to chemical safety and spill containment.</li></ul> Requirements: <ul><li>Bachelor’s degree in Environmental Science, Occupational Safety, Industrial Engineering, or related field</li><li>7+ years’ experience, including 2+ years of progressive people management experience - (equivalent experience may be considered).</li><li>Proven experience in chemical handling, technical operations, and regulatory compliance.</li><li>Strong knowledge of OSHA, EPA, ISO standards, and other applicable regulations.</li><li>Proficiency in EHS software platforms and data analytics tools. Demonstrated leadership, communication, and team-building skills.</li><li>Ability to manage projects, influence cross-functional teams, and drive cultural transformation.</li></ul>

Responsibilities: <ul><li>Maintain &amp; report KPIs related to Freight, Duty, Warehousing, and Inventory to drive stakeholder engagement &amp; action.</li><li>Act as a liaison between regional supply chain leaders, Global Logistics, and Finance to collect known headwinds, tailwinds, and cost reduction projects for inclusion in the quarterly consensus forecast</li><li>Track attainment to forecast every month, including Pareto analysis of any misses &amp; gap closure plan</li><li>Challenge existing targets &amp; identify opportunities for further improvements by partnering with the Global Logistics &amp; Global Trade Services organizations</li><li>Drive adherence &amp; standardization in the Premium Freight approval workflow, including training, specific guidelines for customer liability, and data input and reconciliation at the regional level</li><li>Identify and lead a project(s) that directly contributes to freight and/or duty cost reduction</li><li>Develop guidelines for inventory stocking strategy (Make-To-Stock / Make-To-Order), Safety Stock, Lot Sizes</li><li>Collaborate with the Master Data team to review and maintain system parameters in accordance with the latter.</li><li>Lead Slow-Moving / Obsolete inventory cadence &amp; drive actions to completion, including End-of-Life procedure</li><li>Integrate with Corporate initiatives for inventory optimization (ABC/FMR, Healthy Stock methodology)</li><li>Create innovation and digitize reports for better data presentation and action determination.</li></ul> Requirements: <ul><li>Bachelors degree in Supply Chain Management, Business Administration, Information Systems, or a related field. A Masters degree is preferred.</li><li>Proven experience 5+ years in master data management, data governance, or a related field, preferably in a supply chain planning environment.</li><li>Strong knowledge of supply chain planning processes, including demand planning, inventory management, and production planning.</li><li>Proficiency in utilizing master data management tools and systems (e.g., SAP MDG, Informatica MDM, etc.).</li><li>Solid understanding of data governance principles, data quality management, and data lifecycle management.</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain dashboards and reports using Power BI and or Tableau</li><li>Connect to data sources including data warehouses (for example Redshift), ERP systems, and structured datasets</li><li>Prepare and transform data using Power Query, Tableau Prep, or similar tools</li><li>Build and maintain data models and calculations within BI tools to support scalable reporting</li><li>Translate business requirements into clear and effective visualizations and reports</li><li>Analyze data to identify trends, performance gaps, and opportunities for improvement</li><li>Ensure data accuracy by validating outputs against source systems and established definitions</li><li>Support user acceptance testing and incorporate feedback into reporting solutions</li><li>Maintain and enhance existing dashboards to improve usability and performance</li><li>Document key metrics, business logic, and report structures</li><li>Collaborate with cross-functional teams including business stakeholders and technical partners</li></ul> Requirements: <ul><li>Bachelor’s degree in Industrial engineering, Information Technology, Data Analytics, or related field</li><li>3 to 5 years of experience in Business Intelligence, Data Analytics, or Reporting roles</li><li>Experience developing dashboards using Power BI or Tableau</li><li>Experience working with enterprise data sources such as ERP systems or data warehouses</li><li>Experience supporting business or operational analytics, with supply chain exposure considered an advantage</li></ul>

Responsibilities: Customers Management: <ul><li>Handle incoming calls and emails from assigned accounts (customers) for various sales inquiries, including information on orders, lead times, incoterms, and stock availability.</li><li>Proactively communicate with customers to ensure understanding and resolution of all order-related issues.</li></ul> Analyse Demand Forecast/ Revenue &amp; Inventory Control: <ul><li>Analyze demand forecasts for assigned accounts (customers) and review/control inventory in accordance with business unit targets.</li><li>Conduct demand planning and upload forecasts to the system, managing replenishment orders and billing for consignment customer consumption.</li><li>Generate forecast and LE reports promptly and accurately for Monthly Sales Revenue.</li><li>Review customers actual demand and forecasts to meet their requirements and conduct comprehensive analysis to avoid excess inventory or non-moving stock.</li></ul> Customer Documentation &amp; File Management: <ul><li>File all relevant sales transactions, including purchase orders, order proof lists, order acknowledgments, shipping documents, shipment reports, customer&nbsp;</li></ul> Shipment Management: <ul><li>Prepare and process shipments according to customer requests.</li><li>Collaborate with Planning/Logistics to ensure on-time delivery based on customers request dates and confirm dates for STR performance.</li><li>Oversee drop-shipment orders and ensure continuous follow-up on shipment status, particularly for critical issues.</li><li>Submit credit releases to finance for held accounts.</li><li>Coordinate with Account Managers and customers to release shipments that are on hold.</li></ul> Payment Management: <ul><li>Follow up on open disputes/invoice discrepancies with Customer, Finance &amp; Sales to ensure the best possible A/R results. If necessary, issue credit/debit notes to resolve discrepancies.</li></ul> Requirements: <ul><li>Bachelor degree in related field.</li><li>5-10 years minimum in customer service/procurement or production planning, proficient in both written and spoken English, PC literate with Microsoft Window software.</li><li>Self-initiative, perseverance, people oriented and able to travel locally and aboard for short assignment</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain web applications using Java, Spring Boot, React, Redux, and PostgreSQL</li><li>Implement and manage APIs and microservices architecture</li><li>Ensure the performance, quality, and responsiveness of applications</li><li>Identify and correct bottlenecks and fix bugs</li><li>Partner with business stakeholders and operations team to identify and manage KPIs</li><li>Evaluate the performance of processes, services, and outcomes and drive performance improvement</li><li>Independently solve complex issues, lead a team of junior and mid-level developers</li><li>Other duties as assigned</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Information Technology, or related field. Minimum of 12-15 years offull stack development related work experience</li><li>Strong oral and written communication skills</li><li>Expert in Java, Spring Boot, React, Redux, and PostgreSQL</li><li>Strong analytical skills with the ability to collect, organize, and analyze data</li><li>Attention to detail and accuracy is critical</li><li>Working knowledge of cloud platforms (e.g., AWS, Azure)</li><li>Adept at presenting findings in MS PowerPoint and MS Word</li></ul>

Responsibilities: Product Costing <ul><li>Calculate and maintain standard costs for products.</li><li>Determine labor rates and overhead absorption rates.</li><li>Maintain costing sheets and databases, including new product costing and pricing support.</li><li>Perform quarterly standard cost updates (cost roll).</li></ul> Cost Analysis <ul><li>Analyze and explain variances including:</li><li>Purchase price.</li><li>Material usage.</li><li>Labor and machine rates.</li><li>Efficiency and overhead.</li><li>Compare actual costs to standard costs and investigate deviations.</li><li>Identify root causes of cost fluctuations.</li><li>Analyze cost trends and evaluate cost behavior (fixed vs. variable).</li></ul> Month-End Activities <ul><li>Support month-end close with cost accounting entries.</li><li>Prepare journal entries with appropriate documentation.</li><li>Ensure accurate Cost of Goods Sold (COGS) reporting in P&amp;L.</li><li>Reconcile general ledger accounts with subledgers.</li></ul> Budgeting &amp; Forecasting Support <ul><li>Support preparation of cost budgets for operations/production.</li><li>Provide historical cost data for planning and analysis.</li><li>Calculate standard costs for budget models.</li><li>Monitor actual performance vs. budget.</li><li>Support forecasting through cost projections.</li></ul> Cost Optimization &amp; Business Partnering <ul><li>Identify cost reduction opportunities through data analysis.</li><li>Track and validate savings from cost improvement initiatives.</li><li>Partner with procurement on material cost updates.</li><li>Work closely with production on labor and overhead rates.</li><li>Provide cost insights to support operational decision-making.</li></ul> Requirements: <ul><li>Education &amp; Experience.</li><li>Bachelor’s degree in Finance, Accounting, Economics, or related field.</li><li>Professional accounting qualification is a plus.</li><li>Minimum 3+ years of experience in cost accounting (manufacturing environment preferred).</li><li>Experience in product costing and standard costing methodologies.</li><li>Exposure to SAP or similar ERP systems.</li></ul> Technical Skills <ul><li>Strong understanding of cost accounting principles and practices.</li><li>Advanced proficiency in Microsoft Excel.</li><li>Knowledge of Power BI and/or VBA is an advantage.</li><li>Familiarity with integrated systems and costing modules.</li></ul> Functional &amp; Industry Experience <ul><li>Experience working in a manufacturing or production environment.</li><li>Understanding of production processes, cost drivers, and operational workflows.</li><li>Hands-on exposure to plant-level costing and operational finance.</li></ul> Core Competencies <ul><li>Strong analytical and problem-solving skills.</li><li>High attention to detail and accuracy.</li><li>Structured and organized approach with the ability to manage multiple priorities.</li><li>Ability to work cross-functionally and collaborate with operations and supply chain teams.</li><li>Strong communication skills in English (written and verbal).</li></ul>

Role Description: <ul><li>The Master Data Manager will join the Business Unit’s Digital, Data &amp; Technology (DD&amp;T) organization and report directly to the Chief Information Officer (CIO), Industrial &amp; Commercial Transportation (ICT). As part of DD&amp;T, this role is a key enabler of operational excellence, digital transformation, and AI readiness.</li><li>The Master Data Manager will coordinate cross-functional Master Data Owners, define and track data quality KPIs, and ensure master data issues are corrected in a sustainable and scalable manner.</li><li>Rather than executing transactional data maintenance, this role orchestrates standards, transparency, and accountability across the Business Unit, ensuring master data supports business processes, process intelligence, and AI-driven initiatives.</li></ul> Responisbilities: 1. Master Data Governance &amp; Coordination <ul><li>Establish and operationalize a ICT Master Data Governance framework.</li><li>Coordinate nominated Master Data Owners across functions (Operations, Engineering, Finance, Project Management, Commercial, Product Management, etc.).</li><li>Define clear roles, responsibilities, and escalation paths for data ownership.</li><li>Facilitate recurring cross-functional data governance forums and reviews.</li></ul> 2. Data Quality KPI Definition &amp; Monitoring <ul><li>Define measurable KPIs for data accuracy, completeness, consistency, timeliness, and integrity.</li><li>Implement dashboards (in collaboration with DD&amp;T teams) to monitor data health across systems (SAP S/4HANA, Hydra MES, Planisware, Salesforce, SAP IBP).</li><li>Establish target thresholds and continuous improvement plans.</li><li>Ensure transparency of data quality performance to functional leadership.</li></ul> 3. Sustainable Issue Resolution <ul><li>Identify systemic root causes of master data defects.</li><li>Drive sustainable corrective actions with Master Data Owners and process stakeholders.</li><li>Ensure data issues are resolved at process level, not through recurring manual corrections.</li><li>Partner with DD&amp;T Process Automation &amp; Process Intelligence teams to eliminate recurring data.</li></ul> 4. Enable AI &amp; Process Intelligence <ul><li>Ensure master data structures and governance support:</li><li>Advanced analytics and AI use cases</li><li>Process mining and task mining initiatives</li><li>Reliable automation and digital workflows</li><li>Collaborate with the DD&amp;T AI Lab to ensure master data is AI-ready and supports model performance.</li><li>Support data standardization to enable reuse of models and interoperability across functions.</li></ul> 5. Transformation &amp; Continuous Improvement <ul><li>Promote data as a strategic asset within the Business Unit.</li><li>Drive adoption of standardized templates, definitions, and taxonomies.</li><li>Support SAP S/4HANA evolution and system integrations from a data governance perspective.</li><li>Contribute to digital transformation programs by embedding data quality controls early in process design.</li></ul> Requirements: <ul><li>Bachelor’s degree in Engineering, Supply Chain, Information Systems, Business, or related field.</li><li>5+ years of experience in Master Data Management, Data Governance, ERP environments, or cross-functional process management.</li><li>Experience working in global, cross-functional manufacturing or industrial environments.</li><li>Strong understanding of ERP systems (SAP S/4HANA preferred) and enterprise data flows.</li><li>Experience defining and tracking data quality KPIs.</li><li>Knowledge of data analytics environments (e.g., Databricks) is a plus.</li><li>Strong facilitation, stakeholder management, and influencing skills.</li></ul>

Responsibilities: <ul><li>Support critical IAM programs; coordinate cross-functionally with IAM teams, Information Security teams and business IT stakeholders to manage the successful delivery of IAM projects</li><li>Deliver on suitable short-term and long-term strategic objectives</li><li>Drive and deliver program issues/risks and resolution, decision logs, communication plans and other program documentation to ensure project goals are achieved and audit traceability is in place</li><li>Engage regularly with key stakeholders on issues/risk and decisions and gather feedback on implementation of solutions impacting the organization</li><li>Establish and support program metrics and evaluation methods to assess program strengths and identify areas for improvement as well as timely reporting of program status throughout its life cycle</li><li>Prepare and present reports for program sponsors and leadership</li></ul> Requirements: <ul><li>Bachelor’s degree or equivalent experience; technology or equivalent related field preferred, with a minimum of 6 years of experience in Information Technology OR in lieu of the Bachelors degree, a minimum of 8 years of experience in Information Technology</li><li>Minimum of 5 years of experience managing large scale, cross functional project</li><li>Minimum of 5 years of experience in information technology, with a focus on information security in one or more of the following areas: IAM, security operations, security architecture, policy/governance</li><li>Minimum of 4 years of experience supporting auditors, audit inquiries and ad-hoc reporting</li><li>Solid management skills</li><li>Experience with metrics for assessing and reporting program progress, productivity and variance analysis</li><li>Strong problem solving skills</li><li>Strong oral and written communication (presentation) skills</li><li>Program Management Certified (PMP) preferred</li></ul>

Responsibilities: <ul><li>Lead experimentation and model development for AI/ML solutions in legal products.</li><li>Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Proven experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Able to analyze large-scale legal datasets to extract insights and improve model performance.</li></ul>

Responsibilities: <ul><li>Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Education: Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Strong experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Strong foundation in statistics, modeling, and large-scale text processing.</li></ul>

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225 field sales Jobs found

EHS Manager

Logistics Analyst

Business Intelligence Analyst

Customer Service Specialist

Sr. Application Developer

Cost Accountant

Master Data Manager

AVP, IAM Program Manager

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

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Skills

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Location

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225 field sales Jobs found

EHS Manager

Logistics Analyst

Business Intelligence Analyst

Customer Service Specialist

Sr. Application Developer

Cost Accountant

Master Data Manager

AVP, IAM Program Manager

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.