Cloud Engineering Manager

Lead, AI & Data Products (Technical)

Supply Planning Leader

Finance Analyst III (Plant Operations)

Production Supervisor

Front-End Process Integration Engineer

Finance Manager

Product Lifecycle Supply Chain Project Manager (Optic Product)

Product Engineer - ITLA ODB

Product Engineer - Optical Module

Responsibilities: <ul><li>Lead the engineering, operation, and continuous improvement of enterprise cloud platforms across Microsoft Azure (primary), AWS, and GCP, including landing zones, networking, platform services, and secure cloud foundations.</li><li>Build and maintain standardized delivery pathways, CI/CD pipelines, infrastructure-as-code (IaC) modules, GitOps practices, and environment automation to enable consistent, scalable, and compliant deployments.</li><li>Drive an automation-first engineering model, reducing manual intervention through policy-as-code, automated workflows, AI-assisted engineering, and agent-based execution of routine operational activities.</li><li>Develop and mature AIOps capabilities, including anomaly detection, intelligent alert correlation, automated remediation, and measurable reduction of operational toil.</li><li>Design and operate infrastructure supporting enterprise AI workloads, including GPU/accelerated compute, managed AI services, model serving and inference endpoints, vector and retrieval services, and secure AI landing zones.</li><li>Partner with Data &amp; AI teams to provide scalable, secure infrastructure for AI solutions while managing capacity, quotas, workload isolation, and AI infrastructure consumption and cost reporting.</li><li>Lead cloud reliability, observability, and resilience, establishing service level objectives (SLOs), error budgets, metrics, logging, tracing, recovery playbooks, and validated RTO/RPO requirements.</li><li>Implement cloud security, identity, and compliance guardrails through secure baselines, policy-as-code, workload identities, privileged access controls, and Microsoft Entra ID integration.&nbsp;</li><li>Maintain platform compliance with applicable data protection and industry standards, including GDPR, CCPA, PCI-DSS, and SOC 2, in partnership with Global Cybersecurity and other governance teams.</li><li>Execute FinOps and cloud optimization initiatives, including tagging and cost allocation, rightsizing, scheduling, storage optimization, reservations, savings plans, committed spend, forecasting, and consumption reporting.</li><li>Support the organizations cloud-first transformation, including modernization and consolidation of VMware workloads and rationalization of AWS and GCP environments around strategic business requirements.</li><li>Lead and develop a globally distributed cloud engineering team, establishing engineering standards, structured code and design reviews, operational discipline, continuous learning, and accountability for cloud providers and engineering partners.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent professional experience.</li><li>10+ years of progressive cloud and infrastructure engineering experience, including at least 3 years leading engineering teams with accountability for production platform services.</li><li>Expert-level, hands-on experience with Microsoft Azure, with demonstrated experience building and operating environments across AWS and GCP.</li><li>Deep experience with platform engineering and infrastructure-as-code, including Terraform, Bicep, GitOps, CI/CD pipelines, landing zones, and automated provisioning.</li><li>Demonstrated experience implementing cloud automation and AI-enabled operations, including AIOps, AI-assisted engineering, or agent-based automation.</li><li>Hands-on experience supporting AI/ML infrastructure, including GPU/accelerated compute, managed AI services, model serving, or AI workload platforms.</li><li>Strong production experience with Kubernetes (AKS, EKS, or GKE), cloud security, identity, observability, and reliability practices.</li><li>Experience leading distributed engineering teams and supporting highly available, business-critical technology environments.</li></ul> Preferred Skills <ul><li>Professional certifications such as Azure Solutions Architect Expert, AWS Certified Solutions Architect – Professional, Google Professional Cloud Architect, CKA, Terraform Associate, or FinOps Certified Practitioner.</li><li>Experience with Microsoft Entra ID, workload identity, privileged access, Conditional Access, zero-trust principles, and policy-as-code.</li><li>Experience with observability and SRE practices, including Grafana, Prometheus, Azure Monitor, CloudWatch, SLOs, and error budgets.</li><li>Working knowledge of FinOps, cloud cost optimization, tagging strategies, reservations, savings plans, and consumption reporting.</li><li>Experience migrating and modernizing VMware and on-premises workloads into cloud environments.</li><li>Experience leading global teams across the Americas, EMEA, and APAC.</li><li>Experience within aviation, transportation, logistics, field operations, or other 24/7/365 operational environments.</li></ul>

Role Description: <ul><li>The organization is investing in a small number of high-impact AI and data products intended to operate across its global station network. </li><li>Each requires a single accountable owner who can hold the technical architecture and the product direction together, from first implementation through multi-station scale.</li><li>We are looking for a Lead, AI &amp; Data Products to take that ownership.&nbsp;</li><li>This is a senior individual contributor role for an engineer or applied scientist who has moved into product leadership, not a product manager with adjacent technical exposure.</li><li>You will be expected to reason about model design, data architecture and production trade-offs at the level of the engineers building the system, and to hold the roadmap, business case and stakeholder relationships at the level of the executives funding it.&nbsp;</li><li>The role operates horizontally.</li><li>You will act as the single-threaded owner for assigned initiatives, working with the AI Centre of Excellence on patterns and feasibility, with Data Engineering and Platform on the data foundation, with Operational Excellence and the business product owners on process change, and with the forward deployed engineers in region on station rollout.</li></ul> This is a hands-on role. <ul><li>You will review and contribute to code, make architectural calls, and spend meaningful time at the frontline understanding operations directly rather than through documentation.</li></ul> Responsibilities: Technical product ownership <ul><li>Own the product end to end for assigned AI and data initiatives: discovery, technical architecture, roadmap, delivery sequencing and global rollout readiness.</li><li>Act as single-threaded owner. One person accountable for whether the product works, is adopted, and delivers its business case across stations and regions.</li><li>Convert programs into products.&nbsp;</li><li>Move initiatives currently run as projects onto a product footing with a roadmap, a lifecycle, named users and a benefit measure.</li><li>Make the build decisions: in-house, CoE pattern, capability center, or vendor. Own the trade-off and the consequences.</li></ul> Technical depth <ul><li>Set the architecture for AI and data products spanning forecasting, optimization, simulation, GenAI and agentic workflows, and defend it in technical review.</li><li>Work in the codebase. Review designs and pull requests, prototype where it resolves ambiguity faster than discussion, and contribute directly when delivery depends on it.</li><li>Own production quality: model robustness, explainability, evaluation, monitoring, latency and cost in service, not only at launch.</li><li>Build on the platform. Consume governed data through the semantic layer and apply CoE guardrails rather than constructing parallel capability.</li></ul> Business and delivery leadership <ul><li>Translate operational problems into technical solutions and, equally, translate technical constraints into terms operations and commercial leadership can act on.</li><li>Own the business case with the business product owner: the benefit hypothesis, the measurement approach and the reported outcome.</li><li>Lead without direct authority across engineering, data science, operations and regional teams, including delivery through the capability center and vendor partners.</li><li>Work from the frontline.</li><li>Regular Gemba at stations, with operational understanding built firsthand.</li></ul> Requirements: <ul><li>10+ years in engineering, applied AI or data science, with a substantial portion spent building and running systems in production rather than specifying them.</li><li>Demonstrable record of owning technical products end to end and scaling them beyond a first implementation into multi site or multi-market operation.</li><li>Depth in one or more of: forecasting (time series, probabilistic, hierarchical), optimization (MIP, LP, heuristics), simulation, or production GenAI and agentic systems, with working literacy across the others.</li><li>Strong Python and SQL, with practical command of the modern data and ML stack: cloud data platforms, pipelines, model deployment, evaluation and monitoring.</li><li>Experience influencing senior stakeholders and operating across engineering, operations and commercial functions without direct reporting lines.</li><li>Aviation, logistics or complex physical operations exposure is an advantage, not a prerequisite.</li></ul> Qualifications <ul><li>Bachelors, MSc or PhD in Computer Science, Engineering, Data Science, Mathematics, Operations Research or a related field. Personal characteristics</li><li>Technical credibility earned through building, not through managing builders.</li><li>Judgement on trade-offs between scope, speed and quality, with the confidence to decide under incomplete information.</li><li>Clear communication with engineers, operators and executives, adjusting register without losing precision.</li><li>Comfort with ambiguity and being accountable for outcomes rather than activity.</li></ul>

Role Description: <ul><li>Supply Planning Leader is accountable for end-to-end supply planning across an assigned product portfolio and multiple distribution centers.</li><li>The role ensures timely, cost-effective product availability while balancing customer service, inventory health, working capital, capacity, and logistics performance. This leader converts demand into feasible supply plans, manages risks and constraints, and drives cross-functional execution and continuous improvement in a global, matrix environment.</li></ul> Responsibilities: <ul><li>Develop and execute supply plans aligned with customer demand, inventory targets, business priorities, capacity, material availability, supplier constraints, and transportation lead times.</li><li>Ensure finished-goods availability and timely replenishment across distribution centers, regional warehouses, and source plants by driving MRP recommendations and monitoring plan adherence.</li><li>Lead weekly and monthly supply reviews and actively support S&amp;OP and S&amp;OE by providing supply status, reviewing demand outlook, recommending trade-offs, and driving approved actions.</li><li>Optimize safety stock, MRP policies, inventory deployment, stock coverage, turns, availability, and working capital while maintaining healthy inventory levels.</li><li>Manage phase-in and phase-out planning for the assigned portfolio.</li><li>Identify demand-supply gaps, capacity bottlenecks, material constraints, revenue risks, and service opportunities; lead root-cause analysis, recovery plans, prioritization, and allocation decisions.</li><li>Support customer-service targets, including Fill Rate, STR, OTIF, and PP Confirmation, by aligning commitments with realistic supply capabilities.</li><li>Partner with Demand Planning, Procurement, Manufacturing, Logistics, Customer Service, Product Management, and Sales on material availability, inventory strategy, supply risks, and executive reviews.</li><li>Prepare monthly and annual inventory and freight projections and improve sourcing and transportation economics, including ocean buying from source.</li></ul> Requirements: <ul><li>Bachelor’s degree in Supply Chain Management, Engineering, Operations, Business, or a related field.</li><li>10+ years of experience in supply planning, materials planning, inventory management, manufacturing, distribution, OEM, automotive, industrial, or aftermarket environments.</li><li>At least 4 years of team-leadership experience, with demonstrated stakeholder management, influencing, communication, and problem-solving capability.</li><li>Experience working effectively in fast-paced, global, matrix, and ambiguous environments.</li><li>Strong knowledge of supply and demand planning, forecasting, inventory optimization, capacity and constraint management, distribution networks, transportation, warehousing, and S&amp;OP/S&amp;OE.</li><li>Proficiency in SAP MRP and inventory planning, SAP IBP, and advanced Microsoft Excel; strong Microsoft PowerPoint and analytics capability.</li></ul>

Responsibilities: Planning and Budgeting&nbsp;: <ul><li>Assist on annual budget preparation.&nbsp;</li><li>Assist on monthly forecast preparation.&nbsp;</li><li>Track weekly forecast variance. In order to provide accurate and timely reports.&nbsp;&nbsp;</li></ul> Inventory Risk tracking/Analysis&nbsp;: <ul><li>Inventory reserve preparation&nbsp;</li><li>High light inventory risks and opportunities monthly&nbsp;</li><li>Monitor inventory physical count.&nbsp;</li><li>In order to comply with corporate policies and risk control&nbsp;&nbsp;</li></ul> Costing&nbsp;accounting&nbsp;: <ul><li>Data prepare(Mater master/Routine/Std cost);&nbsp;</li><li>Month ending JE booking&nbsp;</li><li>PPV program and analysis&nbsp;</li><li>Mat. usage analyzing&nbsp;&nbsp;</li><li>Production scrap report preparing&nbsp;&nbsp;</li></ul> FA accounting&nbsp;: <ul><li>Familiar with Capital Assets policy and comply with the policy(Include local policy)；&nbsp;</li><li>Prepare FA management report(Acquisitions, disposal, transfer etc.) and leading fixed&nbsp;</li><li>assets physical count&nbsp;</li><li>Issuing Asset Tags to assets responsible department&nbsp;</li><li>Intercompany Transfers of Fixed Assets data preparing and follow to financial posting&nbsp;</li><li>Follow Open PO&amp;IO&amp;CIP tracking report by month&nbsp;</li><li>CER review and budget control with report and management.&nbsp;</li></ul> Requirements: <ul><li>At least bachelor’s degree in finance/accounting/taxation or related.&nbsp;</li><li>Over 7-10 years working experience in Finance, costing managerial position is preferred&nbsp;&nbsp;</li><li>Good knowledge and experience in costing of manufacturing.&nbsp;Understand how to manage&nbsp;</li><li>and improve Mfg. variance.&nbsp;&nbsp;</li><li>Good knowledge and experience in SAP.&nbsp;</li><li>Fluent English Mandarin, both written and oral (Added Advantage)</li><li>Strong will to learn and develop the skills.&nbsp;</li></ul>

Responsibilities: <ul><li>Plan and analyze the WIP, resources and activities in ensuring line continuity.&nbsp;</li><li>Effective line management and lot movement to meet OTD.&nbsp;</li><li>Coordinate with planner in production schedule to maximize the line utilization.&nbsp;</li><li>Implement effective work methodologies to ensure consistently high-quality output and productivity.&nbsp;</li><li>Together with engineering team, effective execution of assigned WI, SOP and target.&nbsp;</li><li>Drive together with Engineers in minimizing scraps and mishandling in the line.&nbsp;</li><li>Establish cross-training plans and proper certifications and re-certifications for respective team.&nbsp;</li><li>Responsible for managing the shift manpower and achieving the turnover target.&nbsp;</li><li>Compliance with CSR, EHS, QM, ESD, 5S standard and cleanroom protocol.&nbsp;</li></ul> Requirements: <ul><li>Minimum a Diploma/Degree in Electronic or Electrical Engineering or equivalent.&nbsp;</li><li>Experience in high volume production of electronics components in an MNC or semi-conductor industry.&nbsp;</li><li>Strong organizational, leadership and interpersonal skills.&nbsp;</li><li>Able to multi-task, set priorities and meet deadlines.&nbsp;</li><li>Experienced with computer systems and proficient with software applications such as MS Power Point, Excel and Word.&nbsp;</li><li>Ability to perform 12 hours shift&nbsp;</li></ul>

Responsibilities: Yield Improvement and Failure Analysis: <ul><li>Own overall Front-End process yield performance and drive continuous yield improvement initiatives.</li><li>Perform comprehensive wafer scrap analysis and identify root causes of yield loss through data-driven investigations.</li><li>Partner closely with process module engineers, manufacturing, quality, and equipment teams to resolve process-related yield excursions.</li><li>Develop and implement effective corrective and preventive actions to eliminate recurrence of process and quality issues.</li><li>Lead cross-functional investigations and continuous improvement projects to improve process capability and manufacturing robustness.</li><li>Capture lessons learned into organizational knowledge databases to ensure long-term sustainability.</li></ul> Process Optimization and Development: <ul><li>Design, execute, and analyze Design of Experiments to optimize process conditions and establish robust manufacturing windows.</li><li>Evaluate process performance using statistical techniques and advanced quality tools.</li><li>Identify opportunities for baseline yield, cycle-time, and cost improvements across Front-End processes.</li><li>Support new technology introductions, process qualifications, and industrialization activities.</li></ul> Process Change Management: <ul><li>Plan, coordinate, and execute process changes through Limited Change Requests, ECNs, and qualification activities.</li><li>Assess manufacturing risks associated with process modifications and ensure successful implementation without adverse impact on yield, quality, reliability, or customer requirements.</li><li>Monitor post-implementation performance and drive timely closure of action items.</li><li>Process Transfer and Production Ramp</li><li>Support engineering runs, process flow creation, and manufacturing readiness activities for new products and technologies.</li><li>Coordinate required tooling, accessories, documentation, and process setup activities.</li><li>Review engineering lot results and ensure smooth transition into volume production.</li><li>Monitor initial production performance and drive corrective actions where required.</li></ul> Cross-Functional Collaboration: <ul><li>Work closely with Technology Development teams in Singapore and other development sites on new industrialization projects.</li><li>Provide technical leadership and integration support across process, equipment, manufacturing, quality, and product engineering functions.</li><li>Communicate technical findings, risk assessments, and recommendations effectively to management and stakeholders.</li></ul> Customer Satisfaction: <ul><li>Provide timely initial responses to customer queries.</li><li>Drive rapid containment of yield and performance issues.</li><li>Ensure customer communications are accurate, complete, and clear.</li><li>Close issues and projects within committed timelines through proactive management and without escalation.</li><li>Deliver customer commitments on time</li></ul> Requirements: <ul><li>Bachelor’s Degree in Electrical Engineering, Electronics Engineering, Materials Engineering, Microelectronics, Semiconductor Engineering, or an equivalent discipline.</li><li>Experience in semiconductor wafer fabrication or high-volume electronics manufacturing. Front-End semiconductor process integration experience is highly preferred.</li><li>Hands-on involvement in new technology introduction, process qualification, industrialization, manufacturing ramp-up, yield enhancement, or process control methodologies.</li></ul>

Responsibilities: <ul><li>Develop and oversee the company’s financial planning, budgeting, and forecasting processes.&nbsp;</li><li>Ensure alignment between financial plans and business objectives.&nbsp;</li><li>Drive scenario analysis and financial modeling to support strategic initiatives.&nbsp;</li><li>Conduct financial and operational analysis to assess company performance.</li><li>Provide insights into revenue, cost, profitability, and key financial metrics.&nbsp;</li><li>Prepare detailed reports and dashboards for senior leadership.&nbsp;</li><li>Partner with business leaders to identify growth opportunities and cost-saving measures.&nbsp;</li><li>Develop business cases for new investments, market expansions, and efficiency improvements.&nbsp;</li><li>Analyze risks and opportunities to enhance financial decision-making.&nbsp;</li><li>Implement best practices in financial planning and analysis (FP&amp;A).&nbsp;</li><li>Improve forecasting accuracy through automation and data analytics tools.&nbsp;</li><li>Drive continuous improvement in financial processes.&nbsp;</li><li>Collaborate with finance, operations, and commercial teams to align financial goals.&nbsp;</li><li>Present financial insights to executives, board members, and key stakeholders.&nbsp;</li><li>Work closely with external partners, auditors, and regulatory bodies when required.&nbsp;</li><li>Lead and mentor a team of financial analysts and planners.&nbsp;</li><li>Foster a culture of data-driven decision-making and financial discipline.&nbsp;</li></ul> Requirements: <ul><li>8+ years in financial planning &amp; analysis, budgeting, and strategy.&nbsp;</li><li>Strong knowledge of financial modeling, forecasting techniques, and data analytics.&nbsp;</li><li>Proficiency in ERP systems, financial planning software, and BI tools.&nbsp;</li><li>Need CPA OR CA</li></ul>

Responsibilities: <ul><li>Lead and program-manage the development and release to manufacturing of innovative silicon photonics products.</li><li>Manage the complete product lifecycle from pre-concept commitment to First Customer Ship (FCS).</li><li>Collaborate with Optics Business Units (BUs), Product Lifecycle Management (PLM), and Engineering teams.</li><li>Lead cross-functional teams within Optics Operations to deliver optical transceiver modules.</li><li>Ensure products meet time-to-market requirements and scheduled launch milestones.</li><li>Drive achievement of product cost targets and cost optimization goals.</li><li>Monitor and improve manufacturing yields to meet quality and performance objectives.</li><li>Develop and execute volume ramp plans to support production scale-up and customer demand.</li></ul> Requirements: <ul><li>Bachelors degree and 5 plus years minimum experience in supply chain, manufacturing, or product development</li><li>Experience working on new product introductions with manufacturers, suppliers, and product development teams</li><li>Extraordinary program management skills</li><li>Deep experience in leading cross-functional teams to achieve results by identifying and aligning to shared goals, priorities, and dedications. Able to hold peers, partners, and yourself accountable.</li><li>Understanding of optical product design and development methodologies.</li><li>Understanding of silicon photonics technology.</li><li>Strong analytical skills and ability to lead teams to solve complex technical and business problems.</li><li>Ability to influence key partners, senior leaders, and external partners.</li></ul>

Responsibilities: <ul><li>Lead the yield improvement, drive product, process, quality improvements.</li><li>Lead the product debug and FA activities and drive related action to closure.</li><li>Support cost modelling and lead cost reduction activities with cross function team.</li><li>Perform and coordinate DFX activities with design, test and process engineering teams.</li><li>Create product trouble-shooting guides.</li><li>Approve readiness for volume manufacturing.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Electrical Engineering, Optical Engineering, or a related discipline.</li><li>3+ years of experience in product or manufacturing engineering, focusing on optical components and modules.</li><li>Working experience on optical assembly, fiber handling, and laser diode integration.</li><li>knowledgeable on tunable laser theory, calibration method and test parameters.</li><li>Experienced on tunable module is a plus.</li><li>Ability to drive solutions through cross-functional teams.</li><li>Excellent verbal and written communications skills in English</li></ul>

Responsibilities: <ul><li>Lead the yield improvement, drive product, process, quality improvements.</li><li>Lead the product debug and RMA activities and drive related action to closure.</li><li>Support cost modelling and lead cost reduction activities with cross function team.</li><li>Perform and coordinate DFX activities with design, test and process engineering teams.</li><li>Analyze and correlate performance of key parameters spanning device to sub-system levels to optimize in-process and final test specifications.</li><li>Create product trouble-shooting guides.</li><li>Lead failure analysis, root cause identification and corrective action implementation of components, sub-systems and field failures.</li><li>Approve readiness for volume manufacturing</li></ul> Requirements: <ul><li>BS degree in electrical engineering, physics, or other relevant major.</li><li>5+ years’ experience supporting design and NPI of high bit rate optical transponders.</li><li>Very experienced on optical modules production and process on QSFP-DD, OSFP, CFP2 and QSFP-112, etc.</li><li>Very familiar with 100G/200G/400G/800G/1.6T optical module specifications and test requirements.</li><li>In-depth knowledge of analog and digital electronics, RF, and optical communication circuits and components.</li><li>Ability to drive solutions through cross-functional teams.</li><li>Excellent verbal and written communications skills in English</li></ul>

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80 volume forecasting Jobs found

Cloud Engineering Manager

Lead, AI & Data Products (Technical)

Supply Planning Leader

Finance Analyst III (Plant Operations)

Production Supervisor

Front-End Process Integration Engineer

Finance Manager

Product Lifecycle Supply Chain Project Manager (Optic Product)

Product Engineer - ITLA ODB

Product Engineer - Optical Module

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80 volume forecasting Jobs found

Cloud Engineering Manager

Lead, AI & Data Products (Technical)

Supply Planning Leader

Finance Analyst III (Plant Operations)

Production Supervisor

Front-End Process Integration Engineer

Finance Manager

Product Lifecycle Supply Chain Project Manager (Optic Product)

Product Engineer - ITLA ODB

Product Engineer - Optical Module

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

EMPLOYER

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Contact Us

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