Sr. Manager – R&D/Product Development Engineering – PCB Design & Simulation

Intermediate / Senior Data Engineer

Principal Data Scientist

Sr Financial Planning & Analysis

Business Process Manager – Supply Chain Management

Business Process Analyst – Supply Chain (Planning)

Senior AI Engineer

Data Engineer

Senior Officer / Manager– Trade Specialist, Import and Export

Sourcing Support - Master Data

Role Description: <ul><li>Sr. Manager is a senior engineering leader for high-speed PCB Design and Simulations.</li><li>They lead teams in designing, simulating, and validating high-performance high speed printed circuit boards for AI and Datacentre applications ensuring quality, performance, and manufacturability through strategic planning, technical guidance, and collaboration across cross-functional teams.</li><li>Responsibilities include team development, design and simulation strategy, project management, and continuous process improvement to meet deadlines, budget targets, and project performance goals.</li></ul> Responsibilities:&nbsp; <ul><li>Team Leadership &amp; Development: Lead, mentor, and develop teams of high-speed PCB design and simulation managers and engineers, focusing on their career growth and skill development.</li><li>Strategic Design and Simulation: Define and implement high speed design and simulation roadmaps, methodologies and best practices for signal integrity, power integrity, electromagnetic compatibility (EMC), radio frequency interference (RFI) and thermal analysis.</li><li>Cross-Functional Collaboration: Work closely with hardware, firmware, mechanical, and manufacturing teams to translate requirements into viable designs and resolve issues.</li><li>Project &amp; Resource Management: Oversee the management of multiple complex PCB design and simulation projects, ensuring they meet deadlines, budget requirements, and performance targets.</li><li>Technical Oversight: Provide technical guidance on PCB layout, schematic creation, and component selection, staying current with new technologies and design standards.</li><li>Design review and verifications: Conduct design and simulation reviews, providing strategic recommendations to optimize PCB performance and reliability.</li><li>Continuous improvement: Drive innovation and improvement in high-speed PCB design and simulation process. Stay current with emerging technologies, design standards (e.g. IPC), and simulation tools to enhance efficiency and maintain a competitive edge.</li><li>Quality and Validation: lead and drive accuracy in design and simulations, conduct design of experiments (DoE), plausibility check and sensitivity study of simulations, validate simulation results with experimental data, and design optimizations for first time right manufacturability (prototypes and mass production).</li></ul> Requirements: Candidate Desired Profile: <ul><li>Education: A bachelor’s degree in electrical or electronics engineering from a premier institute/university.</li><li>A master’s degree in a must</li><li>Experience: 17+ yrs extensive hands-on experience in high-speed PCB design and simulation with a proven track record of delivering complex projects.&nbsp;</li><li>Leadership: 8-10 years progressive leadership or management experience in leading and developing high-performing engineering teams. Experience in customer engagement and stakeholder management is essential.</li></ul> Technical Skills: <ul><li>Deep understanding of engineering principles for high-speed PCB design, signal integrity (SI), power integrity (PI), electromagnetic compatibility (EMC), radio frequency interference (RFI) and thermal incidents.</li><li>Deep understanding of PCB layout, schematic creation, routing, and manufacturability.&nbsp;</li><li>Expertise in high-speed PCB design tools such as Altium Designer, Allegro or PADS.&nbsp;</li><li>Expertise in high-speed PCB simulation tools for electrical and thermal analysis - Ansys SIwave/HFSS, Keysight Pathwave ADS, Keysight SIPro, Siemens HyperLyx, Cadence Sigrity, Dassault CST Studio Suite, Ansys EMC Plus, Cadence Microwave Office, and Ansys ICEPAK/Siemens FLOTHERM/Cadence CELSIUS.</li><li>Strong knowledge of industry standards (IPC, JEDEC, PCIe, USB, Ethernet) and PCB manufacturing processes, including design for manufacturability (DFM).&nbsp;</li></ul> Soft Skills: <ul><li>Proven abilities on inspiring leadership, team management, prioritisation, strategy and execution.</li><li>Experience in organizational development, and talent attraction/management/retention.</li><li>Promote and manage employee wellbeing and work-life balance.</li><li>Passion for Technology and scientific/engineering excellence.</li><li>Excellent problem-solving and analytical skills to resolve complex technical issues.</li><li>Strong in Technical Documentations, Report preparation and presentation</li><li>Strong verbal and written communication skills to articulate complex technical concepts to both technical and non-technical stakeholders.</li><li>Ability to work effectively in a fast-paced, collaborative global environment and global time zones.</li><li>Proficient using MS office software (Word, Excel, PPT, Outlook, MS Teams, etc.).</li></ul> What Your Background Should Look Like <ul><li>Generally requires Bachelors degree in appropriate field with 12 or more years of experience; or Masters with 10 or more years of experience; or PhD level with 6 or more years of experience; or local equivalent</li></ul>

Responsibilities: <ul><li>Designing, implementing, and optimising scalable data pipelines using Python, PySpark, and Databricks.</li><li>Driving the delivery of customer-facing data products through APIs, Databricks-based sharing, and event-driven mechanisms (e.g., Kafka or similar).</li><li>Taking ownership of end-to-end features — from scoping and development to deployment and monitoring.</li><li>Leading and participating in technical design discussions, contributing to architectural improvements and long-term data strategy.</li><li>Mentoring and coaching junior engineers actively while supporting their technical and professional development.</li><li>Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.</li><li>Conducting peer code reviews, upholding code quality standards, and championing continuous improvement practices.</li><li>Contributing to the team’s agile delivery process and provide input during planning and retrospectives.</li></ul> Requirements: <ul><li>Have extensive experience in data engineering or backend software engineering with a data focus.</li><li>Be proficient in Python, PySpark, and working within Databricks environments.</li><li>Have hands-on experience designing and delivering data products via REST APIs, event-driven systems, or data sharing platforms like Databricks Delta Sharing.</li><li>Have a solid understanding of distributed data processing, ETL/ELT workflows, and data lake/lakehouse architectures.</li><li>Have experience with cloud platforms (e.g., AWS, Azure, GCP) and modern data tooling.</li><li>Have a proven track record of mentoring or coaching other engineers.</li><li>Have effective communication and collaboration skills, including the ability to explain complex concepts to non-technical stakeholders.</li><li>Be familiar with agile development practices</li></ul>

Responsibilities: <ul><li>Design, build, and optimise agentic systems capable of breaking down complex tasks into executable steps.&nbsp;</li><li>Innovate in context engineering strategies (retrieval-augmented generation, dynamic context construction, memory management) to maximise LLM effectiveness.&nbsp;</li><li>Select, fine-tune, and adapt large language models (LLMs) to align with agent objectives.&nbsp;</li><li>Enhance and extend evaluation frameworks for online and offline performance, efficiency, and success rates.&nbsp;</li><li>Select, benchmark, and host LLMs on Amazon SageMaker or EKS, comparing and optimising models to ensure agentic systems are fast, accurate, and cost-effective.&nbsp;</li><li>Own and prioritise a backlog of improvements to core intelligence, applying methods such as RLHF and self-learning agents.&nbsp;</li><li>Collaborate with AI engineering and product teams to deliver production-ready solutions.&nbsp;</li><li>Mentor and supervise junior data scientists and foster a culture of innovation, collaboration, and continuous improvement.&nbsp;</li></ul> Requirements: <ul><li>PhD in AI, Computer Science, Mathematics or a related field; or Master’s with equivalent experience.&nbsp;</li><li>Hands-on experience in LLMs or applied AI research in a commercial environment.&nbsp;</li><li>Proven expertise in context engineering, LLM fine-tuning, and evaluation of non-deterministic systems.&nbsp;&nbsp;</li><li>Strong programming skills in Python and proficiency in deep learning frameworks (e.g., PyTorch)&nbsp;</li><li>Strong problem-solving, analytical, and communication skills.&nbsp;</li><li>Demonstrated ability to work collaboratively with engineering and product stakeholders in an agile environment.&nbsp;</li></ul>

Responsibilities: <ul><li>Oversee the daily functions of a team of 2 – 7 within the Financial Planning &amp; Analysis department</li><li>Support the establishment and maintenance of a stringent control environment that aligns with the companys established internal control framework and global policy</li><li>Lead the analysis intricate financial data, extract essential insights, and assess the company’s financial performance, including revenues, margins, expenses, and capital expenditures</li><li>Collaborate with various departments to collect relevant financial data, set consistent reporting standards, and ensure a unified understanding of key financial metrics across the organization</li><li>Conduct financial variance analyses and deliver detailed interpretations to assist the management team in making informed decisions</li><li>Prepare presentation materials for board meetings and investor relations, ensuring clarity, consistency, and relevance of data in all communications</li><li>Engage in special projects requiring financial analysis or input, and take on additional reporting responsibilities as needed, showcasing initiative and a willingness to go beyond routine tasks</li><li>Delegate the recording of transactions associated with capital projects to maintain comprehensive records for future reference and analysis</li><li>Evaluate project progress and funds invested to assess alignment with financial goals and project timelines</li><li>Compare actual expenditures to budget to ensure financial discipline and accountability throughout the project lifecycle</li><li>Observe and track significant funds invested in long-term projects to identify trends and inform future investment decisions</li><li>Prepare presentations to Finance leadership on the status of projects to ensure alignment with organizational financial strategies</li><li>Observe and track significant funds invested in long-term projects to identify trends and inform future investment decisions</li><li>Train, mentor, and assess the performance of Financial Planning &amp; Analysis staff</li><li>Foster and maintain strong relationships with team members and other internal stakeholders</li></ul> Requirements: <ul><li>Bachelor’s degree in Finance, Accounting, Business Administration, or a related field</li><li>4 – 7 years of relevant experience in management reporting, capital planning, or financial management</li><li>Highly detail-oriented with the ability to work under tight deadlines in a high-volume, fast-paced team environment</li><li>Strong leadership and communication skills</li><li>Fast learner of technology and coachable</li></ul>

Responsibilities: Process Analysis and Evaluation: <ul><li>Conduct comprehensive analysis of existing business processes to identify bottlenecks, inefficiencies, and areas for improvement.</li><li>Summarize from massive &amp; unstructured data/information into presentable format for stakeholders’ review</li><li>Collaborate with stakeholders to understand business requirements and align process changes with strategic goals.</li><li>Utilize data-driven insights to identify key performance indicators (KPIs) and measure process performance and outcomes.</li></ul> Process Design and Implementation: <ul><li>Develop and design streamlined processes and procedures that enhance productivity, reduce costs, and improve overall operational efficiency.</li><li>Ensure that new processes are clearly documented, communicated to relevant teams, and effectively implemented.</li><li>Work with cross-functional teams to gain buy-in and ensure smooth integration of process changes.</li></ul> Process Monitoring and Optimization: <ul><li>Establish mechanisms for ongoing monitoring and evaluation of implemented processes to identify potential issues or deviations.</li><li>Regularly analyze performance data, gather feedback, and adjust as needed to continuously improve processes.</li><li>Implement best practices and industry standards to further optimize business processes.</li></ul> Change Management and Leadership: <ul><li>Lead change management initiatives to foster a culture of continuous improvement and process excellence.</li><li>Engage and educate employees at all levels on process changes, addressing concerns, and promoting adoption.</li><li>Provide guidance and support to teams during the transition phase and ensure adherence to new processes.</li><li>Strong stakeholder management which able to convince stakeholders on proposed improvements for better process across functions</li></ul> Continuous Improvement: <ul><li>Ensure improvements are standardized, documented, and scalable across the organization.</li><li>Identify opportunities to automate processes and integrate technology solutions to streamline workflows and improve operational efficiency.</li><li>Monitor industry trends and best practices related to BPMN and process documentation to drive ongoing improvements.</li><li>Key Performance Indicator (KPIs)</li></ul> End-to-end process maturity: <ul><li>Achievement of process KPI targets</li><li>Consistent service level provided to key stakeholders</li></ul> Requirements: <ul><li>Bachelors degree in Business Administration, Management, Engineering, Supply Chain or a related field. Masters degree is a plus.</li><li>Min 8 years of Industry experience.</li><li>Proven experience (typically 5+ years) in business process management, process improvement, Supply Chain , Manufacturing or related roles.</li><li>Fluent English</li><li>Experience in driving for process improvements in the area of Supply Chain or Manufacturing</li><li>Strong analytical and problem-solving skills with a data-driven approach to decision-making.</li><li>Excellent project management skills with the ability to lead cross-functional teams effectively.</li><li>Strong communication and interpersonal skills to collaborate with diverse stakeholders.</li><li>Knowledge of process improvement methodologies such as Lean, Six Sigma, or BPMN (Business Process Model and Notation).</li><li>Familiarity with process modeling and workflow software tools.</li><li>Ability to adapt to a dynamic and fast-paced work environment</li><li>Need to have experience in program/project management</li><li>Solid experience facilitating and moderating process mapping &amp; improvement workshop</li><li>Consulting experience on any ERP solutions would be ideal</li></ul>

Responsibilities: Process Documentation and Modelling: <ul><li>Collaborate with business stakeholders and process owners to understand and document existing processes using BPMN notation.</li><li>Create detailed process maps, workflows, and diagrams that accurately represent the end-to-end processes and related activities (process map should include clear RACI, Tools, WI)</li><li>Ensure that all process documentation is clear, consistent, and follows best practices in BPMN modelling.</li><li>Adopt Single Source of Truth concept, utilize BPMN-tool to create, update, and maintain process documentation in a centralized and accessible manner.</li><li>Ensure process KPI are documented</li></ul> Process Analysis and Optimization: <ul><li>Work with process owner to analyse processes &amp; identify inefficiencies, bottlenecks, and areas for improvement.</li><li>Work with process owner &amp; cross-functional teams to propose for process optimizations and enhancements using BPMN-tool capabilities.</li><li>Validate process changes with stakeholders and ensure that process improvements align with organizational goals, including handshake process to cross functional team</li></ul> System Knowledge &amp; Analysis: <ul><li>Understand D365 system logic &amp; guide users to follow the documented planning processes &amp; principles during day-to-day operation</li><li>Able to drill through system data &amp; perform analysis per business request</li></ul> Requirements: <ul><li>Bachelor’s degree in supply chain management, Business Administration, Management, Information Technology, or a related field. Masters degree is a plus.</li><li>Proven experience (typically 3+ years) in business process management, process documentation, or related roles.</li><li>At least 8 years working experience in operational supply chain functions (demand &amp; supply/material planning)</li><li>Excellent project management skills, planning, prioritization, ability to innovate and execute on solutions that matter, and provide timely updates/recommendations.</li><li>Good analytical, influencing and problem-solving skills and ability to handle team and client discussions.</li><li>Flexible to take on ad-hoc assignment or project as necessary.</li><li>Logical &amp; Analytical mindset with the ability to identify process improvement opportunities through data analysis.</li><li>Excellent communication skills, both written and verbal, to effectively collaborate with stakeholders and present complex concepts.</li><li>Understanding of process improvement methodologies such as Lean, Six Sigma, or Business Process Reengineering (BPR).</li><li>Familiarity with compliance and regulatory requirements related to business processes.</li></ul>

Role Description: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Transition legacy data systems to Databricks.</li><li>Build and maintain robust, scalable data pipelines.</li><li>Work closely with subject matter experts, product teams, and stakeholders to understand business logic.</li><li>Apply best practices in data engineering and programming.</li><li>Mentor junior engineers and contribute to knowledge sharing.</li><li>Participate in code reviews and technical discussions.</li></ul> Requirements: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul> Why Join Us <ul><li>Opportunity to work on a strategic, high-impact data platform transformation.</li><li>Exposure to cutting-edge technologies including Databricks and cloud platforms.</li><li>Collaborative, inclusive team culture with strong mentorship.</li><li>Clear opportunities for career growth and skill development.</li></ul>

Role Overview: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.&nbsp;</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Lead the transition of legacy data systems to Databricks, ensuring reliability and performance.</li><li>Design, build, and maintain robust, scalable data pipelines to support analytical and operational use cases.</li><li>Collaborate closely with subject matter experts, product teams, and business stakeholders to understand and implement business logic accurately.</li><li>Apply data engineering and programming best practices to ensure high-quality, maintainable, and secure solutions.</li><li>Mentor junior engineers, fostering technical growth and promoting knowledge sharing across the team.</li><li>Participate in code reviews, architectural discussions, and technical decision-making to uphold engineering standards.</li></ul> Requirements:&nbsp; Required Skills &amp; Experience: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience: <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul>

Responsibilities: <ul><li>Accurately process trade finance transactions, including Letters of Credit (LC), Standby Letters of Credit (SBLC), Documentary Collections, and Trade Loans.</li><li>Ensure timely and accurate execution of trade finance transactions, adhering to internal policies and regulatory requirements.</li><li>Verify trade documents for completeness and compliance with UCP 600, ISBP, and other relevant trade finance govering rules and regulations.</li><li>Liaise with counterparties and internal stakeholders to address inquiries and resolve issues related to trade finance transactions.</li><li>Maintain accurate records of all trade finance transactions and activities, daily reconcilaition.</li><li>Assist in resolving operational issues and ensuring seamless trade finance operations.</li></ul> Requirements: <ul><li>Minimum 3 years of Trade Finance Operations experience.</li><li>Sound knowledge in International Trade Governing Rules of UCP, ISBP, URC, URR, Incoterms.</li><li>Familitarity with AML/CFT Guidelines for Trade Finance.</li><li>Meticulous and possess a keen eye for details.</li><li>Strong analytical, problem-solving, follow-up and communications skills.</li><li>Able to work independently and a strong team player.</li><li>Proficient in Microsoft Office applications.</li></ul>

Responsibilities: <ul><li>Establish and maintain data quality metrics and KPIs, regularly monitoring and reporting on data quality issues, trends, and improvements (also in VBA, SQL)</li><li>Collaborate with stakeholders, including supply chain planners, IT teams, and business leaders, to identify master data requirements and define data governance policies and procedures.</li><li>Lead the identification, collection, and validation of master data from various sources, ensuring data accuracy and integrity throughout the data lifecycle.</li><li>Define and implement data cleansing, enrichment, and standardization processes to improve data quality and usability.</li><li>Drive the adoption and utilization of master data management tools and systems, providing guidance and support to users, and ensuring data integrity and consistency across platforms.</li><li>Collaborate with IT teams to design, implement, and enhance master data management systems and infrastructure, aligning with business requirements and best practices.</li><li>Provide guidance and training to supply chain planning teams on master data management processes, standards, and tools, promoting data governance awareness and adherence.</li><li>Stay updated on industry trends, best practices, and emerging technologies related to master data management, and proactively identify opportunities for improvement and innovation.</li><li>Lead data-related projects and initiatives, coordinating cross-functional teams, managing timelines and deliverables, and ensuring successful project execution.</li></ul> Requirements: Education, Technical Qualification &amp; Experience: <ul><li>Bachelors degree in Supply Chain Management, Business Administration, Information Systems, or a related field.</li></ul> Professional Experience (years in what processes and function): <ul><li>Proven experience 1-2 years 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, Tableau, VBA, SQL.).</li><li>Solid understanding of data governance principles, data quality management, and data lifecycle management.</li></ul> Special Qualifications, Knowledge &amp; Skills: <ul><li>Experience with data analysis and reporting, using tools such as Excel, Tableau, or Power BI.</li><li>Excellent analytical and problem-solving skills, with a keen attention to detail. Need to be detail oriented and able to communicate to cross functional teams.</li><li>Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.</li><li>Ability to work in a fast-paced and dynamic environment, managing multiple priorities and deadlines effectively.</li></ul>

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117 external stakeholders Jobs found

Sr. Manager – R&D/Product Development Engineering – PCB Design & Simulation

Intermediate / Senior Data Engineer

Principal Data Scientist

Sr Financial Planning & Analysis

Business Process Manager – Supply Chain Management

Business Process Analyst – Supply Chain (Planning)

Senior AI Engineer

Data Engineer

Senior Officer / Manager– Trade Specialist, Import and Export

Sourcing Support - Master Data

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117 external stakeholders Jobs found

Sr. Manager – R&D/Product Development Engineering – PCB Design & Simulation

Intermediate / Senior Data Engineer

Principal Data Scientist

Sr Financial Planning & Analysis

Business Process Manager – Supply Chain Management

Business Process Analyst – Supply Chain (Planning)

Senior AI Engineer

Data Engineer

Senior Officer / Manager– Trade Specialist, Import and Export

Sourcing Support - Master Data

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

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