Client Advisor/Senior Client Advisor - Full Time/Part time

Senior Manager, Credit Card Acquisition Strategy

Manager, Industrial and Employee Relations

Account Manager - Sales

Senior Machine Learning Engineer (Production & MLOps Focus)

Continuous Improvement Analyst III

Operations Manager

Senior AI Engineer

Manager II – Quality & Reliability Engineer

Responsibilities: <ul><li>Develops store business through excellent clienteling and KPIs performance (conversion rate, cross selling, AVT, upselling, strategic zoning).</li><li>Offer and excellent level couture service at all times across all categories.</li><li>Mentors other client advisors on journey and KPI improvement and is a key teamplayer</li><li>Foster sales in partnership and OTO appointment routine.</li><li>Naturally integrates digital tools in selling and clienteling activities.</li></ul> Requirements: <ul><li>Has a proven selling and clienteling skills.</li><li>Has a collaborative mindset.</li><li>Has excellent communication and story telling skills.</li><li>Is able to sell all categories.</li><li>Strong product knowledge to support the team in product maintenance, replenishment, display.</li><li>Is a contributor to the correct operations of the store.&nbsp;</li></ul>

Responsibilities: <ul><li>Develops store business through excellent clienteling and KPIs performance (conversion rate, cross selling, AVT, upselling, strategic zoning).</li><li>Offer and excellent level couture service at all times across all categories.</li><li>Mentors other client advisors on journey and KPI improvement and is a key teamplayer</li><li>Foster sales in partnership and OTO appointment routine.</li><li>Naturally integrates digital tools in selling and clienteling activities.</li></ul> Requirements: <ul><li>Has a proven selling and clienteling skills.</li><li>Has a collaborative mindset.</li><li>Has excellent communication and story telling skills.</li><li>Is able to sell all categories.</li><li>Strong product knowledge to support the team in product maintenance, replenishment, display.</li><li>Is a contributor to the correct operations of the store.&nbsp;</li></ul>

Role Description: <ul><li>Lead initiatives to acquire new credit card accounts profitably.</li><li>Deep understanding of credit card economics and P&amp;L drivers</li><li>Collaborate with marketing, credit risk, analytics, product management, and other teams.</li><li>Use data-driven strategies and A/B testing to optimize account acquisition.</li><li>Partner with Product and Marketing to launch credit card-related initiatives focusing on acquisition, activation, and early engagement.</li><li>Implement marketing programs across multiple digital channels (our client App, email, affiliates, paid search, Martech/CRM).</li></ul> Responsibilities: <ul><li>Develop new credit card features by assessing competition, customer needs, and research findings.</li><li>Drive adoption of our client Credit Cards alongside internal teams and external bank partners.</li><li>Manage forecasting, KPIs, OKRs, campaign analysis, and incentive strategies related to new accounts.</li><li>Oversee day-to-day management of all projects to ensure timely and risk mitigated delivery.</li><li>Maintain awareness of the competitive landscape to inform program and feature development.</li></ul> Requirements: <ul><li>10+ years in the credit card industry, especially revolving credit products.</li><li>Proven experience managing credit card P&amp;Ls, forecasting, and target management.</li><li>Strong leadership skills, specifically in cross-functional collaboration and indirect leadership.</li><li>Excellent influencing and senior-level communication abilities.</li><li>Expertise in project management with tools like Confluence and Jira.</li><li>Strong organizational skills and ability to thrive in a fast-paced, dynamic environment.</li><li>Proficiency in Microsoft Suite and advanced PowerPoint skills.</li><li>Familiarity with our client and consumer credit products.</li></ul>

Responsibilities: Grievance &amp; Compliance Leadership: <ul><li>Lead end-to-end employee misconduct investigations (preliminary and detailed), ensuring fairness, consistency, and legal compliance across all cases.</li><li>Own full disciplinary lifecycle: recommend actions, approve issuance of show cause/warning/dismissal letters, and maintain robust, auditable records.</li><li>Drive periodic compliance audits across contract labor suppliers (security, canteen, uniform vendors) and ensure timely corrective action on non-conformities.</li><li>Conduct due diligence and performance reviews of foreign operator agencies; submit data-driven recommendations for contract renewals or terminations.</li></ul> Policy &amp; Process Ownership: <ul><li>Manage centralized document control for all HR policies, procedures, and operational guidelines — ensuring accessibility, version control, and alignment with evolving legal standards.</li><li>Design and deliver compliance training programs for managers and employees, covering HR policy, performance management, and labor law essentials.</li><li>Act as the go-to subject matter expert on employment law, IR best practices, and grievance resolution frameworks.</li></ul> Union Engagement &amp; Strategy: <ul><li>Lead plants transition into a unionized environment: educate leaders and HR on union dynamics, negotiation frameworks, and collaborative engagement models.</li><li>Build and sustain a constructive union relationship — balancing business needs with employee representation through regular dialogue, transparency, and mutual respect.</li><li>Anticipate union-related risks and opportunities; advise leadership proactively on IR positioning and response strategies.</li><li>Drive union readiness programs, including leadership coaching, communication protocols, and scenario planning.&nbsp;</li></ul> Canteen Management: <ul><li>Lead vendor governance for contract labor and canteen operations. Monitor service levels, hygiene, and employee satisfaction; drive timely audits, feedback loops, and improvements.</li></ul> Hostel &amp; Foreign Worker Management (End-to-End): <ul><li>Manage full lifecycle of foreign worker operations: manpower planning, documentation, immigration processes, hostel inspections, welfare coordination, and compliance with regulatory and internal standards.</li><li>Ensure foreign workers are treated with dignity and respect; champion human rights standards and ethical labor practices.</li><li>Coordinate with embassies, Ministry of Home Affairs, Department of Immigration, and labor agencies to ensure seamless processes and timely resolution of issues.</li><li>Oversee hostel living conditions, safety, and welfare programs; act as the primary point of contact for foreign worker concerns.</li></ul> Compliance Audits &amp; Risk Management: <ul><li>Lead and coordinate audits related to labor compliance, human rights, and ethical sourcing across all third-party providers.</li><li>Ensure the plant is audit-ready at all times; track and close findings with urgency and rigor.</li><li>Stay current on evolving labor regulations and proactively adjust policies and practices to mitigate risk</li></ul> Requirements: <ul><li>Bachelors degree in Human Resource Management, Business Administration, Industrial Relations, or related discipline.</li><li>7–10 years of HR experience, with deep exposure to industrial relations, employee relations, labor law, and HR compliance—preferably in a manufacturing, unionized, or FMCG environment.</li><li>Proven track record of managing complex disciplinary cases, union negotiations, and IR matters with sound judgment and integrity.</li><li>Strong working knowledge of Malaysian labor law, Employment Act, Industrial Relations Act, and related regulations.</li><li>Advanced proficiency in Microsoft Office (Excel, Word, PowerPoint); able to prepare reports, dashboards, and present findings with clarity.</li><li>Familiar with HR systems, documentation best practices, and audit standards.</li><li>Excellent stakeholder management and interpersonal skills; able to influence, negotiate, and build trust across all levels—from frontline employees to senior leaders.</li></ul>

Responsibilities: <ul><li>Develop and execute strategic sales plans to drive business growth within your assigned territory and specific customer base.</li><li>Work closely with our partners on joint account plans aligned to your customer short and long term business objectives.</li><li>Identify, qualify, and close sales opportunities by engaging with key stakeholders and decision-makers.</li><li>Build and maintain positive relationships with customers, understanding their business challenges and technology needs.</li><li>Collaborate with internal teams, including technical specialists in Cloud &amp; AI, Collaboration, Security, Enterprise Networking and Observability to deliver customer-centric solutions.</li></ul> Requirements: <ul><li>8+ years of field sales or account management experience in the technology industry.</li><li>Consistent track record of achieving and exceeding sales targets within a customer base.</li><li>Strong ability to manage complex sales cycles and engage with senior-level stakeholders.</li><li>Experience working with channel partners and a deep understanding of the partner ecosystem.</li></ul> Preferred Qualifications <ul><li>Passion for technology and a strong understanding of networking, security, observability, collaboration, and cloud &amp; AI solutions.</li><li>Proven experience in growing revenue within accounts and competitor displacement.</li><li>Experience using CRM tools such as Salesforce for pipeline management and reporting.</li><li>Bachelor’s degree in business, technology, or a related field, or equivalent experience.</li><li>Develop and execute strategic sales plans to drive business growth within your assigned territory and specific customer base.</li></ul>

Responsibilities: <ul><li>Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.&nbsp;</li><li>Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra-as-code with Terraform/Helm.&nbsp;</li><li>Implement automated retraining, drift detection, and re-deployment of ML models.&nbsp;</li><li>Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.&nbsp;</li><li>Implement model monitoring, observability, and alerting across accuracy, latency, and cost.&nbsp;</li><li>Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases.&nbsp;</li><li>Ensure pipelines are secure, compliant, and cost-optimized.&nbsp;&nbsp;</li><li>Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance .&nbsp;</li><li>Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.&nbsp;</li><li>Stay current with the latest ML research and apply new tools pragmatically to production systems.&nbsp;</li><li>Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).&nbsp;</li><li>5+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.&nbsp;</li><li>Strong foundations in data structures, algorithms, and distributed systems.&nbsp;</li><li>Proficient in Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.&nbsp;</li><li>Hands-on experience building and deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).&nbsp;</li><li>Experience with containerization (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).&nbsp;</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform/Helm), and configuration management.&nbsp;</li><li>Experience with big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).&nbsp;</li><li>Practical exposure to model observability tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)&nbsp;</li><li>Strong understanding of statistical methods, ML algorithms, and deep learning architectures.&nbsp;</li></ul>

Role Description: <ul><li>The role drives Continuous Improvement initiatives (our client transformations) to support plant strategy, enhance operational excellence, and deliver measurable improvements in efficiency, quality, and cost savings.</li><li>The analyst will mentor practitioners, facilitate Kaizen, lead value stream projects, and embed lean practices across the site.</li></ul> Responsibilities <ul><li>Drive our client deployment, critical project reviews, and KPI tracking.</li><li>Mentor and coach Kaizen facilitators and site practitioners.</li><li>Lead value stream mapping, implement lean inventory systems (Kanban, JIT, supermarkets, two-bin).</li><li>Facilitate site-wide Kaizen events and track closure of action plans.</li><li>Provide training on our client foundations, lean tools, and digital factory usage.</li><li>Report site-level performance against strategy deployment targets and star assessment levels.</li><li>Collaborate with supply chain and operations to reduce WIP, improve flow, and sustain CI culture.</li></ul> Requirements <ul><li>BE/B.Tech (Mechanical/Production/Automotive).</li><li>8–10 years of hands-on experience in the Automotive industry.</li><li>Strong knowledge and application of Lean tools &amp; methodologies.</li><li>Six Sigma Green Belt certification(Pref).</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Ability to coach across shop floor to senior management.</li><li>Adaptability and resilience in dynamic CI environments.</li></ul>

Responsibilities: EH&amp;S (Environment, Health &amp; Safety): <ul><li>Promote a culture of safety across the organization.</li><li>Ensure personnel adhere to established safety guidelines, procedures, and policies.</li><li>Implement lessons learned from security incidents at other facilities to maintain a safe environment.</li></ul> Quality: <ul><li>Promote a culture of quality throughout operations.</li><li>Ensure the operations team follows procedures in their respective areas.</li><li>Support audits from clients and regulatory entities.</li><li>Ensure compliance with Good Manufacturing Practices (GMP) and Good Documentation Practices (GDP).</li></ul> Production: <ul><li>Foster a respectful, dynamic, and challenging work environment.</li><li>Ensure the fulfillment of internal and external operational goals.</li><li>Uphold ethical and regulatory standards in all team behavior.</li><li>Develop and maintain a 5S culture to support efficient operations.</li></ul> Requirements: Competencies &amp; Skills: Core Competencies: <ul><li>Technical Learning: Demonstrated understanding and experience in intensive manufacturing processes.</li><li>Problem Solving: Subject Matter Expert (SME) in complex problem-solving; able to guide teams through solution analysis.</li><li>Ethics and Values: Uphold company values consistently, rewarding alignment and addressing deviations.</li><li>Action Oriented: Energetic and proactive in addressing operational challenges.</li></ul> Job-Specific Knowledge, Skills, and Abilities: <ul><li>Advanced computer skills (Microsoft Word, Excel, etc.).</li><li>Assertive communication and interpersonal skills.</li><li>Strong planning, organizational, implementation, and monitoring skills to ensure Gantt chart and goal achievement.</li><li>Blueprint interpretation and reading.</li><li>Ability to work effectively under pressure.</li><li>Delegation skills while maintaining accountability for results.</li><li>Customer service orientation.</li><li>Effective time management.</li><li>Knowledge of ISO 9002 and FDA-regulated manufacturing environments.</li><li>Experience promoting continuous improvement projects.</li></ul> Experience &amp; Educational Requirements: Experience: <ul><li>Managerial experience in operations/production.</li><li>Minimum 4 years as a senior supervisor, superintendent, or equivalent role in operations/production.</li><li>Approximately 60% office work and 40% time on manufacturing lines (36 months minimum).</li></ul> Education: <ul><li>Engineering degree or equivalent.</li><li>Master’s degree is desirable.</li></ul> Professional Training &amp; Certifications: <ul><li>Six Sigma Green Belt (preferred).</li></ul>

Responsibilities: <ul><li>Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.</li><li>Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support</li><li>Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.</li><li>Build innovative AI solutions tailored to business requirements.</li><li>Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.</li><li>Communicate complex technical concepts and results to non-technical audiences effectively.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools</li><li>Lead the design and development of solutions using Agentic AI</li></ul> Requirements: Basic Qualifications: <ul><li>Bachelor’s or Master’s in Computer Science, Mathematics, Statistics, or a related field.</li><li>8+ years of experience in software engineering, data science, AI, or a related field.</li><li>Proficiency in software development and statistical analysis.</li><li>Experience with Large Language Models and their applications.</li><li>Strong communication skills and the ability to present technical results to business stakeholders.</li><li>Experience with solution architecting and design.</li><li>Hands-on experience with cloud platforms such as Azure and/or AWS.</li><li>Proficiency in programming languages such as Python, R, or similar.</li><li>Strong problem-solving skills and the ability to work independently as well as part of a team.</li></ul> Preferred Qualifications: <ul><li>Experience with large language models and supporting workflows.</li><li>History of project leadership and development.</li><li>Familiarity with Agile development.</li><li>Experience in applications on sales, marketing, and market research.</li><li>Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.</li><li>Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support.</li><li>Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.</li><li>Build innovative AI solutions tailored to business requirements.</li><li>Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.</li><li>Communicate complex technical concepts and results to non-technical audiences effectively.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools.</li><li>Lead the design and development of solutions using Agentic AI.</li></ul>

Responsibilities: 1. Team Leadership <ul><li>Manage, mentor, and develop a team of Quality and Reliability Engineers.</li><li>Assign projects and tasks based on individual strengths and organizational priorities.</li><li>Conduct performance evaluations and provide coaching for continuous improvement.</li><li>Lead cross-functional problem-solving teams to address customer quality issues, reduce DPPM, and lower the cost of poor quality.</li></ul> 2. Quality Assurance <ul><li>Develop and implement robust quality control processes and procedures.</li><li>Oversee customer quality audits and ensure compliance with our client quality policies and customer requirements.</li><li>Analyze quality data and metrics to identify trends and areas for improvement.</li></ul> 3. Failure Analysis <ul><li>Lead structured failure investigations (e.g., fault tree analysis) to determine root causes and corrective actions.</li><li>Coordinate product testing related to customer-reported issues.</li><li>Serve as the primary quality interface with customers on escalations, reliability matters, and compliance.</li></ul> 4. Project Management <ul><li>Lead quality and reliability improvement projects from concept through completion.</li><li>Collaborate cross-functionally with Sales, Engineering, and Operations to align on customer quality objectives.</li><li>Support supplier reviews, customer audits, and on-site technical support.</li><li>Conduct periodic business reviews with key customers on DDN quality and reliability performance.</li></ul> 5. Continuous Improvement <ul><li>Identify opportunities for process optimization, cost reduction, and improved efficiency.</li><li>Implement Lean and Six Sigma methodologies to drive continuous improvement.</li><li>Collaborate with Engineering and Sales to share the DDN strategic quality roadmap and strengthen customer partnerships.</li></ul> 6. Reporting and Communication <ul><li>Prepare and present reports on quality and reliability metrics to senior leadership.</li><li>Communicate effectively with internal and external stakeholders on quality matters and escalations.</li><li>Provide Voice of the Customer (VoC) feedback to Product Management, Engineering, and Manufacturing to mitigate risks.</li></ul> 7. Tactical Initiatives <ul><li>Proactively identify and remove roadblocks affecting quality and customer satisfaction.</li><li>Drive urgency and accountability across teams to meet customer expectations.</li><li>Bridge communication between customers and internal teams to ensure timely problem resolution.</li></ul> Requirements: Qualifications and Experience <ul><li>Education: Bachelor’s degree in Electrical, Mechanical, or related Engineering field; Master’s degree preferred.</li><li>Experience: Minimum 7 years in Quality Assurance or Reliability Engineering, including at least 3 years in a managerial or global capacity.</li></ul> Technical Skills: <ul><li>Strong knowledge of Quality Management Systems (QMS), Statistical Process Control (SPC), Gage R&amp;R, and reliability tools.</li><li>Experience with failure analysis using structured methodologies (e.g., fault tree analysis).</li></ul> Certifications: <ul><li>Six Sigma Black Belt, ASQ Certified Quality Engineer (CQE), or equivalent preferred.</li></ul> Soft Skills: <ul><li class="ql-indent-1">Strong leadership and team development skills.</li><li class="ql-indent-1">Excellent problem-solving, communication, and interpersonal abilities.</li><li class="ql-indent-1">Demonstrated customer interface experience in data center interconnect technology.</li><li class="ql-indent-1">Executive-level presence with the ability to influence across all levels of the organization.</li></ul>

Skills

Industry

Location

Jobtitle

105 senior Jobs found

Client Advisor/Senior Client Advisor - Full Time/Part time

Client Advisor/Senior Client Advisor - Full Time/Part time

Senior Manager, Credit Card Acquisition Strategy

Manager, Industrial and Employee Relations

Account Manager - Sales

Senior Machine Learning Engineer (Production & MLOps Focus)

Continuous Improvement Analyst III

Operations Manager

Senior AI Engineer

Manager II – Quality & Reliability Engineer

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

105 senior Jobs found

Client Advisor/Senior Client Advisor - Full Time/Part time

Client Advisor/Senior Client Advisor - Full Time/Part time

Senior Manager, Credit Card Acquisition Strategy

Manager, Industrial and Employee Relations

Account Manager - Sales

Senior Machine Learning Engineer (Production & MLOps Focus)

Continuous Improvement Analyst III

Operations Manager

Senior AI Engineer

Manager II – Quality & Reliability Engineer

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.