64 Department Manager jobs in Malaysia

Job Description WHAT YOU’LL DO As a Department Manager, you’ll be the leader supporting and encouraging your whole team. By fostering an inclusive culture that promotes collaboration and an entrepreneurial spirit, you’ll create an environment where everyone can thrive. Acting in line with our values, you’ll contribute to both your own success and the success of the company. You will: →Lead your team to deliver an outstanding customer experience by ensuring excellent operational and visual standards, while actively promoting and selling our products. →Take responsibility for your store and department’s strengths, analyse sales performance, identify commercial opportunities, set goals, and create plans to optimize results, profits, and stock levels. →Manage team planning, scheduling, and ensure seamless opening and closing routines. →Recruit, onboard, and develop your team while fostering an inclusive and collaborative culture that promotes growth and innovation. →Stay updated on fashion trends, customer preferences, and competitors to maintain a competitive edge. →Represent yourself and the brand positively during all customer interactions. WHO YOU’LL WORK WITH Our stores are the heart of our company, where customers experience our brand firsthand. As part of the dynamic Store Team, every role—from Sales Advisors, and Department Managers to Store Managers, and Visual Merchandisers—contributes to creating an inspiring and welcoming environment. You’ll also connect with the wider Area Team, collaborating across stores to share insights and drive success together. Alongside your team, you'll play a vital role in helping customers feel confident and express their individuality with the latest trends and timeless styles. By building meaningful connections with customers in our stores, we make fashion accessible and sustainable for all. WHO YOU ARE We are looking for people with… →Experience in retail management and operations. →Strong leadership skills, with a passion for coaching and developing teams while exemplifying company values and culture. →Expertise in sales planning, analysis, and follow-up, using customer-centric tools and reporting. And people who are… →Strong and confident leaders who inspire, coach, and develop their teams with integrity. →Thriving in collaborative, dynamic environments, with a solution-focused mindset. →Motivated to create great customers experiences while promoting and selling our products. →A keen interest in fashion trends, commerciality, and competitor insights to drive sales. →Effective communicators, creative, and curious. →Flexible, analytical, and achievement-oriented, with the ability to manage statistics and work with numbers.

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Job Responsibilities:

• In charge of handling various operational aspects such as managing inventories, recruiting staff, enforcing safety policies, ordering products, and analyzing sales performance.
• Resolve issues from consumers and retain good customer relationships.

Job Requirements:

• Candidate must possess at least a Diploma/Bachelor's Degree in any field or SPM holder with related working experience.
• Candidate preferably has 2 years of experience in retailing or any relevant field for department head.
• Candidate must have at least 5 years of experience in retailing or any relevant field for branch manager.
• Able to work according to retail hours (shift work), including weekends & public holidays.
• Possess strong leadership attributes and be a good role model.
• Fresh graduates are also encouraged to apply for department head.

Interested candidates, please send your resume to: or WhatsApp to +6019-339 2780 .

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Job Responsibilities:

In charge of handling various operational aspects such as managing inventories, recruiting staff, enforcing safety policies, ordering products, and analyzing sales performance. Resolve issues from consumers and retain good customer relationships. Job Requirements:

Candidate must possess at least a Diploma/Bachelor's Degree in any field or SPM holder with related working experience. Candidate preferably has 2 years of experience in retailing or any relevant field for department head. Candidate must have at least 5 years of experience in retailing or any relevant field for branch manager. Able to work according to retail hours (shift work), including weekends & public holidays. Possess strong leadership attributes and be a good role model. Fresh graduates are also encouraged to apply for department head. Interested candidates, please send your resume to:



or WhatsApp to

+6019-339 2780 .

#J-18808-Ljbffr

Mission
Responsibilities

1. Recruit sports talents who are sporty, responsible, vibrant, generous, authentic, and practical.
2. Develop the skills and confidence of team members, enhancing their ability to work independently through regular individual meetings, team discussions, and daily coaching.
3. Create training and development plans with the team.
4. Organize and manage team availability for business activities, including planning work hours and ensuring efficient organization.
5. Communicate effectively with teammates regarding announcements, updates, or new procedures.
6. Guide and manage team members responsibly, aligning with the mission.
7. Enforce basic safety standards within the department.
8. Implement and uphold security procedures related to personnel, goods, and equipment.
9. Actively participate in shrinkage prevention efforts.
10. Train the team on basic safety knowledge.
11. Adhere to product safety policies, including traceability and use-by dates.
12. Manage warehouse operations effectively as a duty manager when required.
13. Forecast financial performance and develop action plans with the team to improve results throughout the year.
14. Share and implement new ideas to enhance work efficiency and procedures.

Profile

WHO WE WANT?

1. Passionate about sports.
2. Strong values: vitality, generosity, authenticity, and responsibility.
3. Leadership skills.
4. Experience in managing teams or people.
5. Problem-solving abilities.
6. Excellent communication skills.
7. Customer service oriented.
8. People-oriented.
9. Creative and innovative thinker.

Skills

• Customer Service
• Leadership
• Communication
• Warehousing
• Logistics

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Project Overview

The "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)" five-year project was initiated in July 2023. It is driven by the goal of investigating the nature of work, redefining our relationship with technology, and exploring how institutions can adapt to foster livability, sustainability, innovation, and social welfare.

Successful applicants will have the opportunity to work on cutting-edge projects that aim to develop state-of-the-art AI to create future smart cities. This Postdoctoral Associate position is for a two-year term under the M3S program at SMART. The SMART team seeks to advance the frontier of AI research, apply it to society and cities, and demonstrate the concrete social impacts of the AI algorithms with broad public acceptance in Singapore.

The SMART-T7 project concerns the design of human-machine systems for the scheduling and allocation of valuable resources in ways that accommodate and optimize for the needs and capabilities of both humans and machines. The project aims to solve diverse use cases, including the stand allocation processes at Singapore Changi Airport and resource allocation on the Grab platform, as a paradigm for a broad set of other potential application contexts.

The problem of scheduling and allocating valuable resources appears in numerous contexts (e.g., transportation, health, public services, logistics) and scales. Many of these contexts share a set of common features. First, decisions regarding scheduling and resource allocation must be made in the face of uncertainty about the amount and timing of demand for these resources. This, in turn, means that plans must be updated dynamically as new information comes in. Moreover, a variety of stakeholders are typically involved and contend for the limited available resources, so that decision-makers must look for compromise solutions that “optimize”, in some way, the use of the resources, while balancing, to the extent possible, the requirements, priorities and social, economic, or demographic characteristics of these stakeholders. In short, these are complex problems involving multiple agents making multi-attribute decisions in a dynamic environment in the presence of uncertainty. Increasingly, AI- and ML-based tools are being brought by large organizations to bear on these problems and complement the expertise and experience of human managers and operators and the traditional decision-making support offered by more traditional (often large-scale) optimization models and algorithms. Optimizing human-machine interactions, training of humans and anticipating and mitigating potential societal, ethical, privacy and transparency issues related to these new tools are all critical aspects of the design of this next generation of scheduling and resource allocation systems.

The SMART-T7 team is led by distinguished scholars, i.e., Professors Hamsa Balakrishnan, Jinhua Zhao, Alexandre Jacquillat, Amedeo Odoni, and Jason Jackson from MIT, and Professor Hai Wang from Singapore Management University.

Key Responsibilities

• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Publish research results in top-tier journals and conferences and disseminate research findings through presentations and other means.
• Mentor graduate and undergraduate researchers and interns involved in related projects.
• Assist with grant writing, project management, and other administrative research duties.
• Perform other duties as needed.

Requirements

• Ph.D. in Operations Research, Computer Science, Artificial Intelligence, Data Science, Industrial Engineering, Network Science, or a related field by the start of the appointment.
• Expertise 1: Experience with general methods in decision-making under uncertainty, including stochastic and robust optimization, integer and combinatorial optimization, dynamic programming, and large-scale optimization; and/or
• Expertise 2: Experience with general methods in machine learning, including reinforcement learning, deep learning, generative AI, multimodal AI, statistical modeling, and network analysis.
• Experience in the integration of machine learning and decision-making.
• Strong publication record in top-tier conferences and journals.
• Excellent communication and collaboration skills.

To apply, please visit our website at:

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

#J-18808-Ljbffr

Project Overview

The "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)" five-year project was initiated in July 2023. It is driven by the goal of investigating the nature of work, redefining our relationship with technology, and exploring how institutions can adapt to foster livability, sustainability, innovation, and social welfare. Successful applicants will have the opportunity to work on cutting-edge projects that aim to develop state-of-the-art AI to create future smart cities. This Postdoctoral Associate position is for a two-year term under the M3S program at SMART. The SMART team seeks to advance the frontier of AI research, apply it to society and cities, and demonstrate the concrete social impacts of the AI algorithms with broad public acceptance in Singapore. The SMART-T7 project concerns the design of human-machine systems for the scheduling and allocation of valuable resources in ways that accommodate and optimize for the needs and capabilities of both humans and machines. The project aims to solve diverse use cases, including the stand allocation processes at Singapore Changi Airport and resource allocation on the Grab platform, as a paradigm for a broad set of other potential application contexts. The problem of scheduling and allocating valuable resources appears in numerous contexts (e.g., transportation, health, public services, logistics) and scales. Many of these contexts share a set of common features. First, decisions regarding scheduling and resource allocation must be made in the face of uncertainty about the amount and timing of demand for these resources. This, in turn, means that plans must be updated dynamically as new information comes in. Moreover, a variety of stakeholders are typically involved and contend for the limited available resources, so that decision-makers must look for compromise solutions that “optimize”, in some way, the use of the resources, while balancing, to the extent possible, the requirements, priorities and social, economic, or demographic characteristics of these stakeholders. In short, these are complex problems involving multiple agents making multi-attribute decisions in a dynamic environment in the presence of uncertainty. Increasingly, AI- and ML-based tools are being brought by large organizations to bear on these problems and complement the expertise and experience of human managers and operators and the traditional decision-making support offered by more traditional (often large-scale) optimization models and algorithms. Optimizing human-machine interactions, training of humans and anticipating and mitigating potential societal, ethical, privacy and transparency issues related to these new tools are all critical aspects of the design of this next generation of scheduling and resource allocation systems. The SMART-T7 team is led by distinguished scholars, i.e., Professors Hamsa Balakrishnan, Jinhua Zhao, Alexandre Jacquillat, Amedeo Odoni, and Jason Jackson from MIT, and Professor Hai Wang from Singapore Management University. Key Responsibilities

Collaborate with the project team and other researchers to design, implement, and evaluate research projects. Publish research results in top-tier journals and conferences and disseminate research findings through presentations and other means. Mentor graduate and undergraduate researchers and interns involved in related projects. Assist with grant writing, project management, and other administrative research duties. Perform other duties as needed. Requirements

Ph.D. in Operations Research, Computer Science, Artificial Intelligence, Data Science, Industrial Engineering, Network Science, or a related field by the start of the appointment. Expertise 1: Experience with general methods in decision-making under uncertainty, including stochastic and robust optimization, integer and combinatorial optimization, dynamic programming, and large-scale optimization; and/or Expertise 2: Experience with general methods in machine learning, including reinforcement learning, deep learning, generative AI, multimodal AI, statistical modeling, and network analysis. Experience in the integration of machine learning and decision-making. Strong publication record in top-tier conferences and journals. Excellent communication and collaboration skills. To apply, please visit our website at: Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

#J-18808-Ljbffr

Job Responsibilities:

• In charge of handling various operational aspects such as managing inventories, recruiting staff, enforcing safety policies, ordering products, and analyzing sales performance.
• Resolve customer problems and retain good customer relationships.

Job Requirements:

• Candidate must have at least 2 years of experience in Retailing or a relevant field.
• Able to work according to retail hours (shift work), including weekends & Public Holidays.
• Possess strong leadership attributes and be a good role model.

Working Location:

Please provide the working location details here.

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Retail Store Manager (Department Furniture)

Handling and overseeing all the day-to-day processes that are carried out in the store.
Able to manage the product inventory, sales persons, goods for display, sales, etc.

MAIN DUTIES AND RESPONSIBILITIES

• Completes store operational requirements by scheduling and assigning employees; following up on work results.
• Maintains store staff by recruiting, selecting, orienting, and training employees.
• Maintains store staff job results by coaching, counseling, and disciplining employees; planning, monitoring, and appraising job results.
• Identifies current and future customer requirements by establishing rapport with potential and actual customers and other persons in a position to understand service requirements.
• Protects employees and customers by providing a safe and clean store environment.
• Maintains the stability and reputation of the store by complying with legal requirements.
• Contributes to team effort by accomplishing related results as needed.
• Managing and motivating a team to increase sales and ensure efficiency.
• Managing stock levels and making key decisions about stock control.
• Analyzing sales figures and forecasting future sales volumes to maximize profits.
• Analyzing and interpreting trends to facilitate planning.

JOB DESCRIPTION

• Dealing with staffing issues such as interviewing potential staff, conducting appraisals and performance reviews, as well as providing or organizing training and development.
• Ensuring standards for quality, customer service and health and safety are met.
• Resolving health and safety, legal and security issues.
• Responding to customer complaints and comments.
• Touring the sales floor regularly, talking to colleagues and customers, and identifying or resolving urgent issues.
• Maintaining awareness of market trends in the retail industry, understanding forthcoming customer initiatives and monitoring what local competitors are doing.

Office Hours: Monday - Friday
9.00am to 5.00pm

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328 Queensberry Street, North Melbourne VIC
3051, Australia.

Retail Store Manager (Department Electrical)

Handling and overseeing all the day-to-day processes that are carried out in the store.
Able to manage the product inventory, sales persons, goods for display, sales, etc.

MAIN DUTIES AND RESPONSIBILITIES

• Completes store operational requirements by scheduling and assigning employees; following up on work results.
• Maintains store staff by recruiting, selecting, orienting, and training employees.
• Maintains store staff job results by coaching, counseling, and disciplining employees; planning, monitoring, and appraising job results.
• Identifies current and future customer requirements by establishing rapport with potential and actual customers and other persons in a position to understand service requirements.
• Protects employees and customers by providing a safe and clean store environment.
• Maintains the stability and reputation of the store by complying with legal requirements.
• Contributes to team effort by accomplishing related results as needed.
• Managing and motivating a team to increase sales and ensure efficiency.
• Managing stock levels and making key decisions about stock control.
• Analyzing sales figures and forecasting future sales volumes to maximise profits.
• Analyzing and interpreting trends to facilitate planning.

JOB DESCRIPTION

• Dealing with staffing issues such as interviewing potential staff, conducting appraisals and performance reviews, as well as providing or organising training and development.
• Ensuring standards for quality, customer service and health and safety are met.
• Resolving health and safety, legal and security issues.
• Responding to customer complaints and comments.
• Touring the sales floor regularly, talking to colleagues and customers, and identifying or resolving urgent issues.
• Maintaining awareness of market trends in the retail industry, understanding forthcoming customer initiatives and monitoring what local competitors are doing.

BENEFITS

• Incentives
• Profit sharing
• Group Insurances
• Various types of leave
• Staff purchase program

Electrical & Computer Communication Department:
Work days: 5
Work hours: 10am – 10pm

Furniture and Bedding Department:
Work days: 6
Work hours:
10am-6pm or 1pm-10pm

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