Development Engineer (Product Quality) 

Data & ML Architect

AVP, Digital Analytics

Manager, Production & CI

HR Systems and Workforce Analyst

Cost Accountant

VP, IAM Assurance Leader

Manager, Data Science - Agentic AI

R&T Project Leader (Validation & Project Management)

SAP Basis Engineer

Responsibilities: Customer Quality &amp; Technical Ownership: <ul><li>Act as the primary technical experts working closely with GQM, KQM, FSE, and internal stakeholders.</li><li>Lead customer complaint investigations, including root cause analysis using structured methodologies (e.g. 5 Whys, Fishbone, 8D), and ensure effective corrective and preventive actions (CAPA).</li><li>Ensure high-quality failure analysis (FA) reports supported by strong technical justification; challenge and close invalid or non-reproducible cases with data-driven rationale.</li><li>Drive fast response, structured escalation, and effective containment actions to improve response time and customer confidence.</li><li>Clearly translate customer complaints into technical, reliability, and risk-based problem statements.</li><li>Review customer quality documentation, including FAI, First Lot Approval, control plans, and inspection reports.</li><li>Ensure out-of-control situations are managed effectively through well-defined OCAPs, including timely containment and recovery actions.</li><li>Maintain high standards for 8D reports and monitor closure turnaround time to meet customer expectations.</li><li>Support regular customer quality reviews and maintain strong working relationships with key customer contacts.</li><li>Initiate internal technical quality improvement initiatives based on customer feedback, field failure data, and risk analysis.</li><li>Strengthen decision-making by identifying the most pragmatic solutions through cross-functional analysis of design, process, and supplier factors.</li></ul> Engineering &amp; Product Quality Assurance: <ul><li>Maintain strong product knowledge covering design intent, materials, machining, assembly, and related manufacturing processes.</li><li>Act as technical authority during escalations, challenging design or process decisions based on field data, reliability risk, and customer impact.</li><li>Support failure analysis and laboratory activities; convert findings into concrete design, process, or control improvements.</li><li>Serve as the link between field failures and design robustness, ensuring lessons learned are embedded into future products and updates.</li></ul> New Product Introduction &amp; Change Management: <ul><li>Participate in NPI and engineering change control processes to ensure customer quality, CTQ, and Copy Exact compliance.</li><li>Ensure customized or newly developed products fully meet customer specifications, quality standards, and regulatory requirements.</li><li>Provide engineering inputs for design reviews, DFMEA/DFMA, and quality guidelines from a customer and field reliability perspective.</li></ul> Culture &amp; Way of Working: <ul><li>Embody and promote company values: Integrity, Teamwork, Customer Centricity, and Innovation.</li><li>Foster a preventive mindset and risk-based thinking across engineering and quality activities.</li><li>Engage cross-functional teams with a clear focus on long-term product excellence and customer success.</li></ul> Requirements: <ul><li>Bachelor’s degree in mechanical, Mechatronics, Manufacturing Engineering, or related field.</li><li>5–10+ years’ experience in customer quality, product engineering, or industrialization within high-mix, precision manufacturing (semiconductor equipment preferred).</li><li>Strong ability to read and interpret drawings, GD&amp;T, simulations, specifications, and tolerance concepts.</li><li>Hands-on experience with 8D, 5 Whys, Ishikawa, DFMEA/PFMEA, DFMA, SPC, MSA, DOE.</li><li>Strong analytical, system-level, and reliability-focused thinking.</li><li>Ability to challenge technical decisions fact-based and constructively.</li><li>Strong communication skills in English, including customer-facing and executive-level discussions.</li><li>Strong command of English for global-level communication. Proficiency in Mandarin Chinese (for Chinese customer interaction) and Malay (for shop-floor communication) is highly advantageous.</li></ul>

Responsibilities: Strategic Leadership: <ul><li>Set the vision and direction for data and AI architecture for project and client.</li><li>Influence enterprise data and AI strategies, driving adoption of best practices in data, ML, and AI architecture.</li><li>Mentor and develop junior architects and engineers, fostering a culture of technical excellence and innovation.</li></ul> Architectural Excellence: <ul><li>Architect and design enterprise-scale data platforms and ML/AI solutions for scalability, reliability, and performance.</li><li>Define and enforce data and ML architecture standards, patterns, and governance frameworks for data pipelines, ML workflows, and analytics platforms.</li><li>Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services.</li></ul> AI &amp; ML Leadership: <ul><li>Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems.</li><li>Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models.</li><li>Evaluate and recommend emerging AI/ML technologies and platforms, driving innovation in intelligent data products.</li><li>Provide Ethical AI leadership to ensure intelligent solutions are implemented when required and in safe methods.</li></ul> Technical Leadership: <ul><li>Oversee data modelling (e.g. medallion architecture), data governance, and quality frameworks. Implementing technical reviews and driving high standards.</li><li>Collaborate with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform.</li><li>Guide the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps).</li></ul> Stakeholder Engagement: <ul><li>Engage with senior stakeholders to translate complex business requirements into technical solutions and strategic roadmaps.</li><li>Ensure all solutions meet security, compliance, and performance standards, and align with enterprise architecture principles.</li></ul> Innovation &amp; Emerging Technologies: <ul><li>Apply modern data and AI architecture patterns (Cloud Native, Steaming/batch ingestion, Agentic AI Design) and leverage platforms such as AI/ML, Big Data, and Data Lakehouse.</li></ul> Requirements: <ul><li>Minimum 8 years’ experience client facing roles specializing in Data and Architecture roles.</li><li>Experience in both Agile and Waterfall project environments.</li><li>Strong stakeholder management and communication skills.</li><li>Security and compliance awareness.</li><li>Industry certifications (e.g., AWS Solution Architect, Azure Data Engineer, GCP Data Engineer).</li><li>Experience mentoring or managing technical teams.</li></ul>

Responsibilities: <ul><li>Lead and deliver Digital Measurement Analytics for Digital Platforms in Agile methodology to drive digital data strategy that includes collection &amp; validation of data and reporting.</li><li>Partner with onsite Stakeholders and various process owners in marketing, technology and digital teams to plan and implement strategic priorities.</li><li>Present analytical results and actionable recommendations to key stakeholders on a recurring cadence, and propose innovative analytics solutions to drive business growth and enhance the customer experience.</li><li>Responsible for team’s effective communication, project deliverables, coaching team on adhering to expected timelines, accuracy &amp; compliance with meticulous project management.</li><li>Lead internal initiatives, perform other duties and/or special projects, as assigned.</li></ul> Requirements: <ul><li>Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant Analytics experience.</li><li>Minimum 6+ years of relevant work experience in lieu of specified degree.</li><li>2+ years of experience in Digital or Web Analytics Domain utilizing tools such as Adobe or Google Analytics and 2+ years of experience in SAS or SQL.</li><li>1+ years of Experience in Managing People, Coordinating work, Supervising, Evaluating performance and ensuring employees are trained.</li><li>Minimum 1+ years of experience in Data visualizations tools such as Tableau to drive insights.</li><li>Excellent oral and written communication skills with ability to collaborate, articulate and present solutions cutting across functional/agile teams in a simple yet compelling manner</li></ul>

Responsibilities:&nbsp; <ul><li>Train and develop team members to foster a culture of continuous improvement and operational excellence.</li><li>Be accountable of site production teams’ engagement.</li><li>Follow up site production team capabilities and create a multi functional environment.</li><li>Lead and coordinate daily production activities to meet production targets, quality standards, and delivery deadlines.</li><li>Develop and implement process improvements using continuous improvement methodologies.</li><li>Analyze production data to identify areas for efficiency gains and waste reduction.</li><li>Collaborate with cross-functional teams (engineering, quality, supply chain) to resolve production issues.</li><li>Monitor key performance indicators (KPIs) related to production efficiency, waste, safety, and quality.</li><li>Ensure compliance with safety regulations and promote a safe working environment.</li><li>Manage resources effectively, including workforce planning and equipment utilization.</li><li>Prepare reports on production.</li></ul> Requirements: <ul><li>Bachelor’s degree in Engineering</li><li>Minimum 10 years of experience in production management, continuous improvement, or operational efficiency roles.</li><li>Strong expertise in Lean Manufacturing, TPM, WCM, IWS or other process improvement methodologies</li><li>Excellent analytical and problem-solving skills, with proficiency in data-driven decision-making.</li><li>Experience in the tobacco or FMCG industry is highly desirable.</li><li>Strong leadership abilities to drive change and influence teams across different levels of the organization.</li><li>Ability to manage multiple projects efficiently in a fast-paced environment.</li><li>Additional support activities as assigned.</li></ul>

Overview: <ul><li>The HR Technology and Integration (T&amp;I) organization was established as part of the HR team’s journey through digital transformation.&nbsp;</li><li>Working as part of our Global HR Technology &amp; Integration team this role to Build, implement and improves global HR systems, data, reporting and analytics platform.&nbsp;</li><li>As a product owner you will Develop and improve existing HR systems in partnership with our Global Talent Rewards &amp; HR Services teams to meet business requirements.</li></ul> Responsibilities: <ul><li>Act as a Global Product Owner to support our Global Total Rewards systems &amp; development.</li><li>Partner closely with our Global Total Rewards team to provide product knowledge &amp; solutions.</li><li>Proactively recommend solutions and ideas to help address technical problems that hinder productivity within Total Rewards.</li><li>Collaborates with Total rewards business teams to analyse requirements, develops and implements various solutions &amp; procedures.</li><li>Provides expertise in the analysis, design, development, and implementation of our Global HRIS system &amp; applications.</li><li>Streamline &amp; continuously improve system configuration to support Global Total Rewards team</li><li>Research solutions to support HR programs and processes.</li><li>Acts as a liaison with IT (Internal &amp; External) on technical issues and projects requiring data integration and other technical support.</li><li>Troubleshoots production issues, including problem research and analysis, and performing steps for resolution.</li><li>Documents system specifications, configurations, processes and procedures.</li><li>Partners with IT, HR and business to ensure effective use of methodologies and communication of test strategies, test results and performance through testing teams</li><li>Audits and reviews changes within HRIS to ensure proper controls and separation of duties and assists in establishing new controls, as needed.</li><li>Contributes to training program development and provides Tier 3 end-user support. Partners with COE’s &amp; Shared Services on enhancements, new rollouts, etc.</li><li>Works with external vendors and other service providers to ensure the efficient, accurate, and timely exchange of information</li></ul> Requirements: <ul><li>Bachelor degree (or equivalent); advanced degree preferred.</li><li>Typically requires minimum of 5+ years of SuccessFactors experience with end to end implementation projects</li><li>SuccessFactors certification with experience and expertise in modules like Compensation and Variable Pay</li><li>Hands on experience with SuccessFactors Employee Central (EC)</li><li>Candidate should ideally have been experience in at least 1 previous global / regional implementation • Provided recommendations with half-yearly and periodic system updates</li><li>Ability to communicate recommendations and solutions to non-technical clients and end users.</li><li>Experience building and executing test scripts for HR information system upgrades and enhancements. • Desired ITIL Service Management Certified</li><li>Advanced proficiency in MS Office, especially Excel</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>

Responsibilities: <ul><li>Create and Maintain Strategic Roadmaps: Develop and execute multi-year roadmaps to drive innovation, strengthen security posture, meet regulatory requirements, and streamline IAM operations—specifically for IAM assurance capabilities, control monitoring, and evidence automation.</li><li>Stakeholder Engagement: Build and nurture strong relationships across Security Operations, Technology Teams, Governance, Operational Risk, and Internal Audit, ensuring program alignment, audit readiness, and the ability to clearly demonstrate IAM control effectiveness to stakeholders and regulators.</li><li>Risk and Progress Management: Identify, assess, and mitigate technical and organizational risks while regularly reporting blockers, corrective actions, and program milestones to executive leadership; ensure timely remediation of control gaps and recurring defects.</li><li>Solution Design &amp; Automation: Lead and contribute to designing technical solutions for complex automation use cases, driving operational efficiency and scalability—especially automation to detect, track, and remediate IAM control defects.</li><li>Program Integrity: Ensure standards, policies, and procedures are accurately documented and officially maintained for audit and compliance requirements; recommend updates to IAM standards based on security threats, regulatory expectations, and industry trends.</li><li>Performance Tracking: Define, implement, and monitor Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs) to measure program maturity and overall effectiveness, including assurance coverage, control pass rates, remediation SLAs, defect recurrence, and reporting timeliness/accuracy.</li><li>Assurance Operations Leadership: Lead assurance activities to track, validate, and remediate key logical access and authentication controls across centralized IAM services (e.g., Active Directory, Oracle LDAP, Beyond Identity) and decentralized implementations as applicable.</li><li>Assurance Reporting Platform Ownership: Manage and evolve the IAM assurance reporting platform(s) used to monitor adherence to company standards, control design, and operational effectiveness; ensure reporting is accurate, resilient, and audit-ready.</li><li>Agile Partnership with Product Owners: Partner with IAM product owners and delivery teams using Agile methodologies to prioritize and implement control improvements, balancing risk reduction with service stability and customer impact.</li><li>Control Evidence &amp; Audit Support: Ensure the organization can efficiently produce high-quality evidence for SOX, PCI, and other examinations; proactively address audit issues with root-cause correction and sustainable control improvements.</li><li>Documentation &amp; Enablement: Oversee creation, maintenance, and review of operational process documentation and end-user/training materials needed to support consistent execution of IAM assurance activities.</li><li>Problem Resolution: Independently resolve technical challenges while escalating issues with clarity when necessary.</li><li>Perform other critical duties or special projects as assigned.</li></ul> Requirements: <ul><li>BS/BA in Computer Science, Information Technology, Cybersecurity, Business Management, or equivalent, plus 10+ years IT experience, OR in lieu of a degree with 12+ years IT experience demonstrating progressive responsibility.</li><li>Minimum 5 years of experience leading multiple IAM service products (e.g., authentication, privileged access, identity governance) and driving outcomes across both centralized and distributed service models.</li><li>Minimum 5 years of experience developing and improving IAM service processes and reporting on IAM service key controls (design and operating effectiveness).</li><li>Minimum 3 years leading operations or assurance teams, including continuous monitoring, issue management, and control remediation.</li><li>At least 2 years working with Agile methodologies in roles such as Product Owner, Scrum Master, or Technical Lead.</li><li>Minimum 2 years of people management experience, leading teams of 2+ engineers or contractors.</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 reliability and validation activities across the full NPI lifecycle for DDN Power and Cable Assembly products.</li><li>Play a critical role in the DFMEA process, identifying risks and defining robust mitigation plans cross-functionally.</li><li>Develop comprehensive Reliability and Validation Strategies per project based on VOC and DFMEA outputs.</li><li>Define and align test scope, objectives, sample size, test duration, conditions, cost, and sequencing.</li><li>Develop standardized Reliability and Validation Methodologies and Procedures.</li><li>Own project-level R&amp;T control documentation and track progress in project management systems.</li><li>Lead R&amp;T technical reviews and regular project update meetings.</li><li>Identify risks, bottlenecks, and gaps; drive mitigation and escalation as needed.</li><li>Act as the single R&amp;T interface to customers and internal stakeholders (PDE, AQE, MPDE, Quality, Manufacturing, Procurement, external labs).</li><li>Lead failure analysis and corrective action implementation.</li><li>Develop and maintain ORT (Ongoing Reliability Test) plans.</li></ul> Requirements: <ul><li>8+ years in Reliability Engineering, Validation, Test Engineering, or Technical Project Management.</li><li>Strong knowledge of DFSS, DfRE, DFMEA, reliability principles and industry standards (EIA-364, IEC62368, IEC 61000, IEC60068, FCC Part 15, IPC9592B, ISTA 3E, ASTM D4169).</li><li>Hands-on experience with Environmental tests (Temperature, Humidity, Altitude, IPxx), Mechanical tests (Vibration, Shock, Drop, Impact, Durability, Packaging), Electrical tests (Power integrity, Signal integrity, Power thermal rise) and Safety/EMC (Hi-pot, LLCR, RE/CE/RS/CS/ESD/Surge).</li><li>Proven ability to lead cross-functional, multi-site engineering teams.</li><li>Strong communication and customer-interfacing skills.</li></ul> Preferred/ Nice to Have: <ul><li>Six Sigma Black Belt or DFSS certification.</li><li>PMP or equivalent Project Management certification.</li><li>Experience supporting hyperscale data center power, cable, or connector applications.</li></ul>

Responsibilities: <ul><li>Designs, builds, and supports SAP platform solutions by applying sound engineering practices to ensure system stability, performance, and scalability.</li><li>Utilizes enterprise tools and methodologies to automate system deployments, transport, and administrative activities, enabling reliable and repeatable releases.</li><li>Collaborate with cross‑functional partners to translate moderately complex business and technical requirements into effective SAP Basis solutions.</li><li>Performs system validation, technical testing, monitoring, and troubleshooting to maintain the quality and availability of SAP systems.</li><li>Contributes to continuous improvement initiatives by identifying opportunities to enhance SAP Basis processes, automation, and operational efficiency.</li><li>Creates and maintains clear technical documentation for SAP landscapes, configurations, and operational procedures.</li><li>Provides technical support for moderately complex SAP Basis issues, ensuring timely resolution and minimal impact to business operations.</li><li>Drives automation and quality through the use of enterprise testing and deployment tools, including Tosca for test automation and qTest for test management, execution, and traceability.</li><li>Develops, executes, and maintains manual and automated test assets for SAP systems, ensuring end‑to‑end coverage across SIT, UAT, regression, and integration testing cycles.</li><li>Performs system validation, monitoring, defect analysis, and troubleshooting in partnership with development, security, and infrastructure teams to ensure reliability and performance.</li></ul> Requirements: <ul><li>Minimum requirement of 5 years of relevant work experience with SAP Basis.&nbsp;</li><li>Demonstrated expertise in SAP Basis engineering, with strong knowledge of SAP system architecture, technical landscape design, system administration, upgrades, transport, performance monitoring, and operational support across multiple SAP environments.</li><li>Experience managing and supporting SAP technical operations, including system availability, batch processing, interfaces, background jobs, monitoring, troubleshooting, and incident resolution in alignment with enterprise service expectations.</li><li>Proven ability to support SAP Fiori and UI technical components from a Basis perspective, including configuration, activation, performance support, and coordination with security and application teams.</li><li>Experience leveraging scripting and technical tools (such as SQL and automation utilities) to improve operational efficiency, support system analysis, and standardize SAP Basis activities.</li><li>Working knowledge of cloud‑hosted and hybrid SAP landscapes, including experience supporting SAP systems on platforms such as Microsoft Azure, AWS, or Google Cloud, with an understanding of infrastructure, connectivity, and platform operations.</li></ul>

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53 agile waterfall methodologies Jobs found

Development Engineer (Product Quality)

Data & ML Architect

AVP, Digital Analytics

Manager, Production & CI

HR Systems and Workforce Analyst

Cost Accountant

VP, IAM Assurance Leader

Manager, Data Science - Agentic AI

R&T Project Leader (Validation & Project Management)

SAP Basis Engineer

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53 agile waterfall methodologies Jobs found

Development Engineer (Product Quality)

Data & ML Architect

AVP, Digital Analytics

Manager, Production & CI

HR Systems and Workforce Analyst

Cost Accountant

VP, IAM Assurance Leader

Manager, Data Science - Agentic AI

R&T Project Leader (Validation & Project Management)

SAP Basis Engineer

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