Senior Manager, Credit Card Acquisition Strategy

Manager, Industrial and Employee Relations

Solution Engineer - AI Infrastructure

Software Services Sales Leader

Senior Machine Learning Engineer (Production & MLOps Focus)

Solution Engineer - Security

 IIAD / SAD / LAD Artificial Intelligence Engineer

Central Demand Planner

Operations Manager

Commercial Planning Analyst

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>We are seeking a Solutions Engineer - Artificial Intelligence (AI) Practitioner to join our dynamic sales team. As an SE (AI Practitioner), you will consult and drive the adoption of our AI solutions across various industries.</li><li>You will identify potential clients, understand their specific needs, and provide tailored AI solutions that enhance their business operations.</li><li>This role requires a deep understanding of AI technologies, real world deployment experience and expert capability to relay business and technical concepts to a diverse audience.</li><li>The Cloud and AI Infrastructure team is responsible for helping customers change their business using Client technology in the data center and on cloud. The team works with customers, partners and engineering teams to take customer problems and turn them into business advantage.</li></ul> Requirements: Minimum Qualifications: <ul><li>10+ years of technology consulting experience (preferably in systems, software, data, analytics and AI).</li><li>Good understanding of programming/scripting languages</li><li>Ability to provide detailed and consumable documentation and standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise, and AI/ML solutions.</li><li>Be able to develop and showcase real world examples of how AI technology can help businesses thrive and solve problems.</li><li>Excellent presentation skills – ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and/or infrastructure topics. Preferred</li><li>Bachelors Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree in Data Science is a plus.</li><li>Experience with AI relevant infrastructure, including Networking (InfiniBand and RoCE), Storage (FC, IP and scale out) and AI accelerators (GPUs etc).</li><li>In-depth understanding of AI models, including but not limited to GPT, Llama, Resnet or similar.</li><li>Experienced with data storage and management (SQL, NOSQL, Vector, BigQuery etc) and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Jupyter, NIMS and NVAIE etc).</li><li>Expertise in training and fine-tuning AI models on premise or in cloud environments.</li><li>Familiarity with containerization (k8 etc).</li></ul>

Role Description: <ul><li>Become passionate about your employer and the brand you represent.</li><li>Everything is converging on the Internet, making networked connections more significant than ever before in our lives.</li><li>We have employees with ground breaking ideas that impact everything.</li><li>We take creative ideas from the drawing board to dynamic solutions that have real world impact.</li><li>Youll be part a team that cares about its customers, enjoys having fun, and youll take part in changing the lives of those in our local communities</li><li>Come prepared to be encouraged and inspired.</li><li>You will work with Sales account teams, core services specialists, architecture specialists, renewals team, the CX organization and Practice Delivery &amp; internal cross-functional teams</li></ul> Responsibilities: <ul><li>As a Services Specialist Premium for a set of named accounts, You will lead all aspects of the customer account with respect to Premium Services/Sophisticated Services and drive the execution of customer facing activities to conclusion in a quality, timely, and accurate manner.</li><li>Handle service pricing and margins according to agreed upon terms and work with cross functional teams.</li><li>You will plan and prioritize sales activities and customer/prospect contact towards achieving business objectives around Advanced Services</li><li>You will collaborate with cross-functional teams to create and lead account plans using all relevant data.</li><li>Identify customer business issues, challenges, care-abouts</li><li>You will communicate, liaise, and negotiate internally and externally using appropriate methods to facilitate the development of profitable business and sustainable relationships.</li></ul> Requirement: <ul><li>﻿Subject matter expert on Technology &amp; cross-Architecture solutions/Services. Understand customers’ technology landscape (Applications/Infra/Architecture) well &amp; are able to play an advisory role to account teams &amp; customers.</li><li>You Build Influential Relationships: Working with customers, channel partners, and account team members to meet business goals and objectives; using appropriate communication methods to influence others and establish relationships.</li><li>You have Customer Focus: Supporting customers during the sales process; seeking and taking appropriate actions on customer requirements while balancing business needs; resolving difficult issues in a timely and professional manner; taking responsibility for customer satisfaction and loyalty.</li><li>You negotiate: Optimally exploring interests and options to reach outcomes that gain the agreement and acceptance of all parties by using legitimate data, objective criteria to support ones proposal.</li><li>You are a Critical Thinker: Identifying and understanding issues, problems, and opportunities; comparing data from different sources to address sales challenges and new opportunities; taking courses of action based on sound analysis and judgment.</li><li>14+ years of sales experience in IT products or services sales</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>

Responsibilities: <ul><li>As a key player in the team, you will have the opportunity to influence the security landscape by crafting tailored solutions that address specific customer needs.</li><li>This role offers the excitement of working with cutting-edge technology and the fulfillment of building long-lasting relationships with customers.</li><li>Provide guidance and assist account teams in building solutions to address specific customer security needs.</li><li>Understand business requirements and translate them into technical solutions.</li><li>Create, present, and document technical solutions to customers, partners, and prospects.</li><li>Lead technical consulting and upper-level management presentations.</li><li>Drive major account opportunities while enabling local account teams to maintain long-term ownership.</li></ul> Requirements: Minimum Qualifications <ul><li>Minimum of 4 years of technical sales or pre-sales experience with 2+ years in Security specialization (Email Security, IDS/IPS, AV, Firewall, Advanced Malware Protection).</li><li>Bachelors degree in Cybersecurity, Computer Science, or a related field.</li><li>Proven track record of successful quota achievement.</li><li>Strong knowledge of cybersecurity concepts, technologies, and best practices.</li><li>Industry certifications such as CISSP, CISM, or CCSP are preferred..</li></ul> Preferred Qualifications <ul><li>Excellent presentation and interpersonal skills.</li><li>Commercial awareness and strong communication skills.</li><li>Highly motivated self-starter who excels without day-to-day management.</li><li>Experience with Client security technologies and programming languages such as UNIX shell, Perl, or C.</li><li>Willingness to travel and work from a home office. As a key player in the team, you will have the opportunity to influence the security landscape by crafting tailored solutions that address specific customer needs.</li></ul>

Responsibilities: Agentic AI Development:&nbsp;&nbsp; <ul><li>Design, build, and deploy agentic AI systems using frameworks such as LangChain, Lang Graph, and related libraries.&nbsp;&nbsp;</li><li>Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.&nbsp;</li></ul> RAG Pipelines:&nbsp; <ul><li>Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.&nbsp;</li></ul> LLM Engineering:&nbsp; <ul><li>Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation.&nbsp;</li><li>Work with LLM/SLM APIs, embeddings, and advanced generative AI techniques.&nbsp;</li></ul> Enterprise AI Platform:&nbsp; <ul><li>Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols.&nbsp;</li><li>Implement and standardize Model Context Protocol (MCP) for consistent context management across models and agents.&nbsp;</li></ul> MLOps &amp; Observability:&nbsp; <ul><li>Establish and enforce best practices for MLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions.&nbsp;</li><li>Applied AI Prototyping:&nbsp;</li></ul> Rapidly prototype, experiment, and iterate to improve AI agent capabilities.&nbsp; Collaboration &amp; Research:&nbsp; <ul><li>Participate in the full research cycle: literature review, data exploration, experimentation, and presentation of findings.&nbsp;</li><li>Collaborate effectively with other engineers, researchers, and data scientists.&nbsp;</li><li>Contribute to the documentation and standardization of technical code and practices.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related quantitative field. Master’s or Ph.D. is a strong plus.&nbsp;</li><li>5+ years overall experience in software development, data science, or machine learning.&nbsp;</li><li>1+ year of hands-on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine-tuning, or agent-based architectures.&nbsp;</li><li>1+ year of experience with frameworks like LangChain, LlamaIndex, OpenAI, or similar tools.&nbsp;</li></ul>

Responsibilities: <ul><li>Lead the Global Demand Planning Cycle of the S&amp;OP process: Own and execute the monthly demand process from system handover to consensus sign-off. </li><li>Coordinate inputs from Sales, Product Management, and Finance, and ensure outputs feed into supply planning and S&amp;OP.</li></ul> Improve Forecast Accuracy:&nbsp; <ul><li>Drive measurable improvements in MAPE, Bias, and Forecast Adherence. Use data-driven techniques and root-cause analysis to understand gaps and implement corrective actions.</li></ul> Bridge Strategy and Execution:&nbsp; <ul><li>Translate commercial assumptions and market intelligence into an aligned, actionable forecast that drives capacity, procurement, and financial planning.</li></ul> Advance Tools and Reporting:&nbsp; <ul><li>Develop and maintain robust forecasting reports and KPIs using Excel, Power BI (or Tableau), and SAP IBP. </li><li>Push the team toward automated, visual, and insightful reporting.</li><li>Facilitate Consensus and Governance: Orchestrate monthly consensus meetings and prepare executive-ready materials that clearly communicate changes, assumptions, and risks.</li></ul> Support Constrained Planning:&nbsp; <ul><li>Collaborate with the Supply Planner to identify constraint-driven adjustments and simulate scenarios to evaluate trade-offs.</li><li>Enhance Collaboration and Accountability: Act as the single point of contact for demand planning across regions. Push for timely inputs, challenge assumptions, and ensure cross-functional accountability.</li></ul> Lead Process Improvements:&nbsp; <ul><li>Identify inefficiencies and design solutions—whether it’s template optimization, system enhancements, or training stakeholders on best practices.</li></ul> Support S&amp;OP Strategy:&nbsp; <ul><li>Contribute actively to the broader S&amp;OP cycle, including confidence-level strategies, forecast version control, and long-range planning exercises.</li></ul> Requirements: <ul><li>Bachelor’s degree in supply chain, Engineering, Business, or related field; Master’s preferred</li><li>Minimum 5 years of experience in demand planning or S&amp;OP in a multinational environment</li><li>Demonstrated ability to work independently and proactively influence cross-functional teams</li><li>High proficiency in Excel and Power BI (or Tableau); experience with SAP IBP is strongly preferred</li><li>Strong business acumen and communication skills; able to translate data into decisions</li><li>Fluent in English</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>Work together with Sales / Commercial team also external key distributors to consolidate sales data from different countries / market, ensuring the data accuracy, cleanliness, and integrity.</li><li>Lead the maintenance and enhancement of commercial reporting processes, including the preparation of monthly reports and the development of automated reporting solutions and dashboards.</li><li>Provide sales team with commercial analysis and reporting to support team objectives and decision-making processes.</li><li>Initiate and standardize templates (Excel and PowerPoint) for projects as required</li><li>Formulate and execute new commercial KPI tracking mechanisms to support performance evaluation.</li><li>Participate in sales / commercial pertinent projects / Global project (ie. Game Plan / Distributor Excellence Program) and collaborate cross-functionally to ensure successful implementation and alignment with organizational objectives.</li><li>Work together with Sales / Commercial team to drive the commercial plans (Calendar of Activities).</li><li>Help to manage our JBP (Joint Business Plan) and contracts through data availability</li></ul> Requirements: <ul><li>Bachelors degree in related field</li><li>Minimum 2 years working at medium to large FMCG company</li><li>Advanced Microsoft Office Excel (Commercial Dashboard, XLookup, IF conditional, Data consolidation, Data cleaning, Conditional formatting) and Power Point</li><li>Good command in English</li><li>Takes ownership, self-determination, always looking to improve, collaborative approach on cross-functional working</li></ul>

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97 advanced excel Jobs found

Senior Manager, Credit Card Acquisition Strategy

Manager, Industrial and Employee Relations

Solution Engineer - AI Infrastructure

Software Services Sales Leader

Senior Machine Learning Engineer (Production & MLOps Focus)

Solution Engineer - Security

IIAD / SAD / LAD Artificial Intelligence Engineer

Central Demand Planner

Operations Manager

Commercial Planning Analyst

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Senior Manager, Credit Card Acquisition Strategy

Manager, Industrial and Employee Relations

Solution Engineer - AI Infrastructure

Software Services Sales Leader

Senior Machine Learning Engineer (Production & MLOps Focus)

Solution Engineer - Security

IIAD / SAD / LAD Artificial Intelligence Engineer

Central Demand Planner

Operations Manager

Commercial Planning Analyst

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.