Talent Acquisition Specialist

S & OE Manager

Quality Manager

Logistics Analyst

Assistant Manager, SC Projects

Cost Accountant

Project Manufacturing Leader

Facilities Technician

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Responsibilities: <ul><li>Manage full-cycle recruitment (sourcing to onboarding).</li><li>Collaborate with hiring managers to understand hiring needs.</li><li>Source candidates through job portals, social media, and referrals</li><li>Screen, interview, and assess candidates.</li><li>Coordinate interviews and manage stakeholder communication.</li><li>Maintain recruitment data and track hiring metrics.</li><li>Ensure a strong candidate experience and employer branding.</li></ul> Requirements: <ul><li>5+ years of experience in talent acquisition/recruitment.</li><li>Strong sourcing and interviewing skills.</li><li>Familiarity with ATS and recruitment tools.</li><li>Excellent communication and stakeholder management abilities.</li><li>Ability to work in a fast-paced environment.</li></ul>

Responsibilities: Factory S&amp;OE Execution Ownership: <ul><li>Own S&amp;OE execution across 4 manufacturing sites, ensuring alignment between demand, supply, and production plans</li><li>Drive short-term execution decisions to protect customer service and delivery performance</li><li>Lead plant-level weekly S&amp;OE cadences focused on exception management and recovery actions</li><li>Ensure adherence to global S&amp;OE standards, governance, and processes&nbsp;</li></ul> Operational Excellence &amp; KPI Delivery: <ul><li>Deliver against key metrics: On-Time -Delivery, Past Due, Lead Time Accuracy, Response Time, and Inventory Health</li><li>Drive root cause analysis and corrective actions for service gaps and supply constraints</li><li>Implement continuous improvement initiatives to enhance reliability, responsiveness, and efficiency</li><li>Standardize ways of working across factories to improve consistency and execution rigor</li></ul> Customer &amp; Commercial Alignment: <ul><li>Partner closely with Customer Care and Sales teams to ensure clear prioritization and fast response to demand changes</li><li>Support escalation management with structured, data-driven solutions</li><li>Translate commercial priorities into executable supply actions at plant level</li></ul> Managing Complexity, NPI &amp; Migrations: <ul><li>Ensure operational readiness for new product introductions and product migrations</li><li>Coordinate with planning, manufacturing, and supply teams to mitigate risks during transitions</li><li>Manage demand volatility and supply constraints with agility and structured decision-making</li></ul> Financial &amp; Service Performance: <ul><li>Balance service, cost-to-serve, and inventory objectives in daily execution decisions</li><li>Support achievement of working capital and cost targets through disciplined planning and execution</li><li>Use data and analytics to optimize trade-offs between service and cost</li></ul> People Leadership &amp; Capability Building: <ul><li>Lead and develop a team of ~10 S&amp;OE planners/analysts</li><li>Coach team on problem-solving, prioritization, and decision-making</li><li>Establish clear roles, accountability, and performance expectations</li><li>Build a high-performance, accountable, and collaborative team culture</li></ul> S&amp;OE Process Adoption &amp; Maturity: <ul><li>Drive adoption of global S&amp;OE processes, tools, and KPIs</li><li>Ensure high-quality data, system discipline, and process compliance (SAP, S4 Hana, IBP Response)</li><li>Support S&amp;OE maturity roadmap deployment at factory level</li></ul> Requirements: <ul><li>Bachelor’s degree in business administration, Supply Chain Management, Logistics, Industrial Engineering or a related field.&nbsp;</li><li>An MBA or master’s degree is preferred.</li><li>10+ years of experience in supply chain planning, or operations in a multinational environment.&nbsp;</li><li>Exposure to high-growth environments, NPI, and product migrations preferred.</li><li>Minimum of 4 years of experience in people management, leading diverse teams in a global environment.</li><li>Proven experience in Sales and Operations Execution (S&amp;OE) or related roles.&nbsp;</li><li>Experience in managing operational processes related to demand planning, supply chain management, and inventory optimization.</li><li>Excellent communication and interpersonal skills to engage effectively with cross-functional teams and stakeholders.</li><li>Strong analytical skills with the ability to interpret complex data and drive actionable insights.</li><li>Highly Competent with supply chain management software (SAP Must, IBP Response is a plus) and analytics tools.</li><li>Demonstrated leadership skills with the ability to lead and inspire diverse teams across different locations.</li><li>Understand business drivers and able to balance between short- and long-term objectives.</li></ul>

Responsibilities: <ul><li>Drive quality performance during rapid production ramp-up</li><li>Lead containment actions and 8D corrective action activities</li><li>Build and maintain strong quality gates and inspection processes</li><li>Improve yield, reduce defects, and enhance customer satisfaction</li><li>Partner with Operations, Engineering, Program, Supply Chain, and Production teams</li><li>Promote early escalation, data-driven problem solving, and continuous improvement</li><li>Monitor quality metrics and drive corrective/preventive actions</li><li>Support manufacturing readiness and process compliance</li></ul> Lead the site Quality organization covering: <ul><li>Product Quality</li><li>Signal Integrity Quality</li><li>Incoming Quality</li><li>Quality Engineering</li><li>Quality Management System</li><li>Customer quality and corrective action</li><li>Work closely with regional quality leaders, regional manufacturing counterparts, and key stakeholders</li></ul> Requirements: <ul><li>Manufacturing quality leadership experience</li><li>Electronics, cable assembly, connector, EMS, automotive electronics, or high-precision manufacturing background</li><li>Knowledge of 8D, FMEA, Control Plan, SPC, MSA, CAPA, Pareto, and audit management</li><li>Exposure to signal integrity, high-speed interconnect, RF, test engineering, or data center hardware will be an added advantage</li><li>Experience working in a multinational and fast-paced ramp environment</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>

Role Description:&nbsp; <ul><li>We are hiring a Supply Chain Project Engineer to lead and manage engineering and CAPEX projects within a manufacturing environment.&nbsp;</li><li>This role involves working closely with global engineering teams and plant operations to deliver projects on time, within budget, and aligned with business goals.</li></ul> Responsibilities: <ul><li>Lead end-to-end project execution (design, installation &amp; commissioning).</li><li>Support technical proposals, cost estimation, and project planning.</li><li>Coordinate with suppliers, contractors, and cross-functional teams.</li><li>Supervise installation and construction activities on-site.</li><li>Ensure projects meet EHS, quality, and food safety standards.</li><li>Manage budget, timelines, and resource planning.</li><li>Work closely with global engineering, production, maintenance, and operations teams.</li><li>Support CAPEX planning and execution for plant initiatives.</li></ul> Requirements: <ul><li>Bachelor’s degree in engineering as Mechanical, Electrical or equivalent. MBA or Management degree is preferred.</li><li>Working with manufacturing environment is preferred. Minimum 4 years of engineering experience with minimum 3 years for project management.</li><li>Knowledge of mechanical, electrical and construction/structure are required. Also, good computer background is a must.</li><li>English communication skill is necessary in both speaking and writing.</li><li>Able to work with government officers and public organizations.</li><li>Knowledge of food industry and financial issues including CAPEX&nbsp;</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 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: <ul><li>Oversee day-to-day facility operations including HVAC systems (WCPU), air compressors, air dryers, sewage treatment systems, and general building maintenance with work at height compliance.</li><li>Provide hands-on support for: - Cooling tower infill services - Split unit A/C maintenance - Compressed Dry Air (CDA) piping installation - A compressor piping - New production line setup including electrical wiring</li><li>Supervise the infrastructure, ensuring safe and efficient operation in accordance with Malaysian electrical codes.</li><li>Manage and execute facility installation projects, expansions, and upgrades in line with production needs.</li><li>Ensure adherence to safety protocols, environmental regulations, and industry standards.</li><li>Collaborate with production, quality, and engineering teams to align facility operations with manufacturing targets.</li><li>Handle vendor management and oversee service contracts for equipment maintenance and utilities.</li><li>Perform routine troubleshooting and preventive maintenance, minimizing downtime and enhancing productivity.</li><li>Maintain detailed documentation, reports, and Preventive Maintenance (PM) records.</li></ul> Requirements: <ul><li>Minimum 3 years of experience in facility management within a manufacturing environment, preferably in antenna, electronics, or cable assembly industries.</li><li>Solid hands-on expertise in: - HVAC systems - Air compressors - CDA piping and A compressor piping - Electrical and mechanical facility systems</li><li>Familiar with energy efficiency practices, sustainability initiatives, and lean manufacturing principles.</li><li>Strong problem-solving skills and the ability to work independently in a fast-paced production setting.</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>

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>

Skills

Industry

Location

Jobtitle

158 learning environment Jobs found

Talent Acquisition Specialist

S & OE Manager

Quality Manager

Logistics Analyst

Assistant Manager, SC Projects

Cost Accountant

Project Manufacturing Leader

Facilities Technician

Manager, Data Science - Agentic AI

Senior Data Scientist III - 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

158 learning environment Jobs found

Talent Acquisition Specialist

S & OE Manager

Quality Manager

Logistics Analyst

Assistant Manager, SC Projects

Cost Accountant

Project Manufacturing Leader

Facilities Technician

Manager, Data Science - Agentic AI

Senior Data Scientist III - 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.