Logistics Analyst

Business Intelligence Analyst

Sr. Application Developer

Cost Accountant

Document Controller

Master Data Manager

Project Manufacturing Leader

Manager II – Manufacturing & Process Development Engineering

VP,  Senior Audit Manager

Manager, Data Science - Agentic AI

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: <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>This role supports project teams by controlling documentation for EPC projects—identifying, uploading and distributing engineering deliverables and maintaining electronic and hardcopy repositories with accurate indexing, revision control, metadata and access permissions.</li><li>It operates EDMS (SharePoint, ProjectWise), manages the change control lifecycle (issue/revise/approve/distribute/archive) and reviews documents for completeness and contractual/QMS compliance.</li><li>The role maintains traceability, transmittals and audit trails, prepares reports, supports technical reviews and handovers, follows up on pending reviews, and safeguards data integrity and confidentiality.</li><li>Control all documentation activities: identify, upload and distribute engineering deliverables.</li></ul> Responsibilities: <ul><li>Maintain electronic and hardcopy repositories with accurate indexing, revision control and retrieval.</li><li>Operate and administer EDMS (SharePoint, ProjectWise, etc.): uploads, metadata, permissions and folder structures.</li><li>Review drawings, specifications, change orders, submittals and vendor documents for completeness, format and contractual/QMS compliance; resolve discrepancies.</li><li>Manage the change control lifecycle: issue, revise, approve, distribute, archive and retire controlled copies.</li><li>Ensure documents are correctly dated, versioned and authorized prior to release.</li><li>Maintain traceability registers, revision histories, distribution lists, transmittals and audit trails.</li><li>Prepare transmittals, distribution notices, status updates and ad?hoc project reports.</li><li>Support technical reviews, coordination meetings and project closeout / handover documentation packs.</li><li>Proactively follow up on pending actions, approvals and overdue reviews.</li><li>Develop and maintain document procedures, metadata standards and templates; identify and implement improvements.</li><li>Provide day to day support for document access, retrieval, formatting/numbering and stakeholder queries, while maintaining access controls, data integrity and compliance with internal/ISO/contractual requirements.</li></ul> Requirements: <ul><li>Bachelor’s degree (any discipline) or equivalent.</li><li>2 to 6 years’ relevant document control experience, preferably in construction, engineering, manufacturing, oil &amp; gas or EPC project environments.</li><li>Experience supporting project QMS and contractual/client requirements is preferred.</li><li>Software Proficiency: Strong with MS Office (Word, Excel).</li><li>Experience with document management systems/EDMS such as Microsoft SharePoint, Bentley ProjectWise, DocuWare, or similar document control software. Familiarity with PDF tools and CAD/PDF handling.</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>

Role Description: <ul><li>The Project Manufacturing Leader is a Project Core Team Member, in charge of the industrialization of all client production lines involved in a project Value Stream, across several client plant locations when applicable.</li><li>The PML is responsible for achieving key targets in terms of Industrial Timing, Capacity, Quality and Production Costs in line with the Planisware Work packages and deliverables on time completion (or Project LeanPD milestones) requirements. His/Her role is to define and implement the best Production System and line Concepts while ensuring that all client Global Auto industrial strategy and standards are followed.</li><li>PML involvement with a new project starts at RFQ, between G0 and G1 and lasts until SOP + 3 months.</li><li>The PML reports directly to the regional ME organization, to the PML Manager/Director and functionally to the Project Manager.</li></ul> Responsibilities : Design for Manufacturing : <ul><li>The PML participates in the Product Design activities led by the Product Design Engineering Team, contributing towards reaching a product design compliant with client Industrial Targets and allowing maximum Production Profitability.</li><li>He/She leads Technology and comparative studies in case of multiple options and ensures that Process Feasibility is optimal and validated by experts.</li></ul> Footprint and Make or Buy Studies: <ul><li>With the support of his management and considering inputs from the project team, the PML conducts a preliminary footprint analysis, including Make or Buy comparative Studies.</li><li>The PML submits the proposal to the Regional/Global Industrial Strategy team for final decision.</li></ul> Production System Definition: <ul><li>(Plant: Production System, Physical lay-out) In the early program Development phase, the PML organizes, leads and follows-up the Lean Industrial Design workshop activity, involving all Project and Plant Team functions, under coordination of the ME or Launch Director.</li><li>Based on the initial industrial assumptions, he/she builds the initial Plant internal Material &amp; Information Flow Diagram (MIFD)/VSM, Line lay-out, Plant lay-out with Production System and Logistics areas footprint calculations.</li><li>Before Program CER/Capex Committee Meeting, he/she leads the Tool and machine Design Workshop, out of which plant delivers the detailed</li><li>Production Line layout and Advanced VSM. Confirm the proposed Production System including traceability and conformity.</li><li>PML leads the assessment of any equipment refurbishment needs for the project relying on the appropriate internal or external experts and validate the effective equipment refurbishment timing and cost with vendors.</li><li>Job Description The PML identifies any Industrial risk, defines a back-up plan for critical processes and provides Industrial Impact on any Engineering Change Request.</li></ul> Process FMEA: <ul><li>PML participates in the definition of Key Product Characteristics (KPC) and Key Control Characteristics (KCC) He/She coordinates and leads the PFMEA methodology during program phase with active participation of Process Experts, including PLTL or Process Engineer.</li><li>Once the initial PFMEA is completed, ensure that actions are implemented with all updates included prior to handover to the Plant at Mass Production Trial (MPT).</li></ul> CER Committee: <ul><li>(Product Manager initially presenting because of Commercial discussion then Project discussion) PML ensures Capacity analyses are completed prior to adding new equipment to the project.</li><li>He/She optimizes Project Investment through Reuse, Bundling, Massification etc. He/She builds and monitors the detailed Project Investment List.</li><li>He/She prepares and leads the Project CER/Capex industrial Presentation, submitting CER request and approval follow-up after Project and Plant Managers have validated the investments.</li><li>Once CER is presented, he/she ensures timely CER submission/validation and follow-up in line with the industrial timing.</li></ul> Industrial Timing: <ul><li>PML builds, updates &amp; monitors the complete Project Industrial timing plan for tools, equipment, Packaging, traceability and associated processes to meet all internal (MPT) and external Customer milestones on time and right first time, from specification to final acceptance.</li><li>He coordinates Project Product Engineers and Supply Chain Engineers within the Project Team and track Plants readiness status in collaboration with the Plant PLTL.</li><li>The PML coordinates Traceability Implementation, Machine and tooling acceptance, tracking improvement actions with a robust PDCA where needed. Responsible to organize Tooling &amp; Equipment progress status reviews involving the plant PLTL.</li></ul> Industrial Performance <ul><li>PML defines and tracks main Industrial Performance indicators: - MMR and Work Content - Scrap Process rate - Process Capabilities - Capacity Status and Process Cycle Time, including Equipment Utilization Monitoring (data from plant) - Rework monitoring - Material Yield - Launch Costs consolidated in the Business Plan - Project Investment PML ensures that the most suited technical solutions for Project Financial KPI improvement are investigated through standard, automation, digitalization with payback analysis.</li></ul> PAC reviews: <ul><li>Reporting PML reports progress status on Manufacturing Work Packages and related program milestones. All PMLs participate in the PML -or regional ME Department weekly routine.</li></ul> Requirements: <ul><li>Masters degree in engineering, or equivalent professional experience.</li><li>Minimum 5 years of proven experience in production or industrial area preferably in automotive sector.</li><li>Strong ability to work in an international and multicultural environment with complex matrix organization. Team building and positive mindset.</li><li>Leadership with ability to interact and coordinate complex subjects with technical teams. Proactive with a vision of long-term impact and problem anticipation.</li><li>Knowledge in project management process, Quality Control tools in production, Lean Line Design.</li><li>Result oriented with strong written, verbal communication skills. Fluent English required.&nbsp;</li></ul>

Responsibilities: Lead a team of engineers who will: <ul><li>Develop power connector assembly manufacturing process in accordance with LEANPD product development.</li><li>Drive for excellence in existing manufacturing technologies and methods.</li><li>Strive to implement new manufacturing technologies to provide improved process and tolerance control.</li><li>Support Product Development in the optimization designs (DFM) and piece parts for manufacturability; realizes sample tooling, product samples, and prototypes.</li><li>Design, develop, and qualify tooling and processes to meet company DDN quality and production standards.</li><li>Support the supply chain to verify supplier compliance and capability.</li><li>Act as the binding element between product development and manufacturing engineering, ensuring the effectiveness and efficiency of this critical interface.</li><li>Maintain communication with the project management team to understand current and future strategic business needs</li><li>Prioritize and time manage a portfolio of projects/work efforts based on criticality and business need</li><li>Provide readouts to Senior manager and Director-level cross-functional management as necessary</li><li>Work with the Philippines operations team to assign resources necessary for the successful execution of new product development</li><li>Facilitate and coordinate cross-functional communication across globally matrixed organizations</li></ul> Requirements: <ul><li>Bachelors or above degree with mechanical/electrical related majors.</li><li>At least 5 years of managerial-level experience related to a multinational manufacturing site.</li><li>Familiar with Lean, Six Sigma. etc. industrial methods/tools.</li><li>With 2 years or above work experience in the connector assembly industry is preferred.</li><li>Fluent in English and good presentation skills.</li><li>Familiar with MS software.</li><li>Familiar with industrial specification (i.e., IPC 620).</li><li>Familiar with Stamping / Plating / Molding / Assembly processes</li></ul>

Responsibilities: <ul><li>Engage with India Leadership to understand emerging risk while providing risk themes and trends that can inform and help improve governance and control awareness.</li><li>Provide IA leadership to the Internal Audit team based in India by motivating and developing individuals to elevate quality and expand capabilities.</li><li>Assist with continuous monitoring activities related to Technology.</li><li>Supervise, manage, and motivate Audit Managers on scheduled audits.</li><li>Oversee audit planning and execution of audits including audit scoping, setting audit objectives, defining audit test steps, performing audit fieldwork and drafting audit reports.</li><li>Review and provide feedback to Audit Managers on the documentation of detailed process walkthroughs performed with management, including the identification of process risks and controls.</li><li>Review and provide feedback on detailed audit work papers performed during fieldwork, including control design and effectiveness testing.</li><li>Ensure Audit Managers have developed and documented clear audit work papers that succinctly articulate the process, risks, controls, test work performed, and conclusions reached.</li><li>Ensure effective and efficient execution of audits in conformance with professional and department quality standards.</li><li>Identify and articulate control gaps or control deficiencies.</li><li>Ensure timeliness of audit work and ensure audit is performed within budget.</li><li>Present audit results to various levels of internal audit leadership, as well as the business organization.</li><li>Contribute to risk assessment process and ongoing business/industry monitoring.</li><li>Maintain internal audit competency through ongoing professional development.</li><li>Oversee career and professional development of direct reports.</li><li>Perform other duties and/or special projects as assigned.</li></ul> Requirements: <ul><li>Bachelors or advanced degree in technology, business, or finance, with a minimum of 10+ years of relevant experience working within audit or a risk management function or minimum 12+ years relevant experience in lieu of a degree</li><li>Bachelor’s degree in Accounting, Auditing, or a technology-related degree with 9+ years of audit experience</li><li>5+ years in technology audit, controls, operations, and/or compliance</li><li>2+ years recent experience managing, supervising, and mentoring individuals</li><li>2+ years recent experience in leading projects and motivating teams</li><li>CISA/CISM/CPA/CIA/CRISC/CISSP certifications</li><li>Ability and flexibility to travel for business as required</li></ul>

Responsibilities: <ul><li>Leading development of advanced AI Agentic tech.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Communicating findings and insights to stakeholders in a clear and concise manner.</li><li>Staying current with the latest AI and machine learning trends and technologies.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices</li><li>Driving best practices across our data science functions.</li><li>Setting strategy and team direction, with a clear vision for Data Science.</li><li>Working with product leaders to apply data science solutions..</li><li>Evaluating and creating new frameworks and defining methodologies and governance.</li><li>Leading small- to medium-sized teams (direct or indirect).</li><li>Setting a high bar for model development.</li></ul> Requirements: <ul><li>3+ years of people management experience.</li><li>7+ years of AI/ML experience.</li><li>Significant experience in managing larger technical teams (direct or indirect).</li><li>Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues.</li><li>Be a natural problem solver, able to take a lead in collaborating to resolve issues.</li><li>Have excellent communication skills and the ability to convey information clearly to senior stakeholders.</li><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</li></ul>

Skills

Industry

Location

Jobtitle

246 data consistency Jobs found

Logistics Analyst

Business Intelligence Analyst

Sr. Application Developer

Cost Accountant

Document Controller

Master Data Manager

Project Manufacturing Leader

Manager II – Manufacturing & Process Development Engineering

VP, Senior Audit Manager

Manager, Data Science - Agentic AI

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

Skills

Industry

Location

Jobtitle

246 data consistency Jobs found

Logistics Analyst

Business Intelligence Analyst

Sr. Application Developer

Cost Accountant

Document Controller

Master Data Manager

Project Manufacturing Leader

Manager II – Manufacturing & Process Development Engineering

VP, Senior Audit Manager

Manager, Data Science - Agentic AI

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

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