Total 9 Senior Executive lead buyer job vacancies in d22 jurong jurong island tuas

The Lead Enterprise Software Sales Executive will focus on developing and closing new business while collaborating with the UL Solutions Sales team, Affiliate Executives, and Alliance Partners to grow our client base among Fortune 1000 and select mid-market companies.

Responsibilities:

• Master and effectively position UL Solutions' Software and Advisory offerings to drive meaningful business outcomes for clients.
• Meet or exceed sales targets by promoting UL Solutions' Software and Advisory solutions to assigned enterprise accounts.
• Own 5-7 key enterprise accounts, developing comprehensive, solution-oriented strategies for the entire S&A portfolio.
• Manage assigned accounts and strategically engage prospects to secure new business opportunities.
• Drive new client acquisition and expand existing accounts within your designated territory.
• Lead end-to-end sales processes, including discovery, opportunity identification, proposals, and deal closure.
• Cultivate and grow executive-level relationships within client organizations to solidify trust and long-term collaboration.
• Demonstrate a deep understanding of industry trends, client needs, and market dynamics.
• Articulate the value of UL’s software and advisory offerings in clear, compelling ways to clients and prospects.
• Collaborate with Pre-Sales, Sales Support Specialists, and Client Success teams to ensure seamless execution and renewal of solutions.
• Conduct client interactions in person and virtually (video, phone, email) to nurture relationships and close deals.
• Travel as needed for high-priority client engagements.
• Leverage creativity and strategic thinking in client solutions, pricing, and pursuit strategies.
• Differentiate UL Solutions' offerings through innovative approaches to product marketing and client engagement.
• Utilize CRM tools and sales best practices to manage processes and track performance effectively.
• Collaborate across internal teams, alliance partners, and external stakeholders to maximize sales impact.
• Prepare and deliver high-impact presentations and proposals using Microsoft Office tools.
• Set and achieve quarterly or annual sales goals, monitoring progress and reporting to leadership.
• Share client feedback and opportunities with Engineering and other teams to support continuous improvement.

Requirements:

• Bachelor’s degree in business, engineering, or a related field.
• 7+ years of experience in sales, account management, and sales operations.
• Proven track record of consistently exceeding sales targets.
• Strong business acumen and expertise in sales processes.
• Industry experience with knowledge of trends and challenges.
• Demonstrated success in developing strategies, lead generation campaigns, and closing multi-million-dollar deals with large multinational manufacturers.
• Hands-on experience in pursuing, managing, and closing strategic accounts.
• Exceptional strategic and analytical skills.
• Independent and strategic thinker with the ability to partner with leadership to drive results.
• Outstanding organizational and time management skills.
• Excellent communication and influencing skills with high-level decision-makers.
• Proven ability to collaborate across teams in a sales-focused environment.
• Innovative self-starter with a proactive mindset.
• Skilled at presenting to diverse audiences both virtually and in person.
• Proficient in MS Office, CRM platforms, and digital account planning tools.
• Willingness to travel over 50%.

Senior Specialist, Data & Infrastructure Lead

• Based in Singapore, the regional hub for Asia Pacific (AP) and top-ranked biopharmaceutical company on The Straits Times and Statista’s list of Best Employers in Singapore for four consecutive years (2020, 2021, 2022, 2023) as well as Great Place to Work-Certified™ company.
• Join the premier biopharmaceutical company that has been in Singapore for more than 25 years.

Join our company and be at the forefront of technological innovation in the pharmaceutical sector. We are seeking a Data & Analytics/Infrastructure Lead to develop, support, and manage data analytics, site IT infrastructure, and other digitalization solutions. This role offers a unique opportunity to drive impactful change and contribute to our organization's success.

Responsibilities

• Develop, support, and manage Data & Analytics and other digitalization solutions.
• Support Site IT operations to ensure 100% availability of IT and network infrastructure.
• Collaborate with other Digital teams (Foundational & Digital Services) and Technology Infrastructure, Operations, & Experience (TIO&E) teams to effectively manage site IT changes and incidents.
• Innovate new solutions and business models, applying technical knowledge and experience to develop, deploy, and support IT-OT systems for a large pharmaceutical manufacturing company.
• Foster collaboration with divisional data & analytics leads and D&A engineers from network sites to share and implement best practices.
• Partner with the divisional Data Science team to develop and implement GenAI, machine learning solutions, etc., for manufacturing processes.
• Coordinate with global Leads, Program Managers, and Business stakeholders to plan, estimate, and deliver digital/transformational initiatives efficiently and effectively, ensuring program execution aligns with organizational goals.
• Develop, review, and approve technical documents for assigned programs/projects, including design documents, User Acceptance Test executions, change controls, risk assessments, and release notes.
• Ensure compliance with industry standards and regulatory requirements, maintaining the highest levels of data security and integrity.
• Lead the evaluation and integration of new technologies and tools to enhance data analytics capabilities and drive innovation within the organization.

Qualifications​ Required

• Bachelor’s or master’s in computer science, Engineering, Data Science, or equivalent degree.
• 3 – 4 years of experience in data analysis and IT operations.
• Passionate about working with new technologies.
• Strong analytical, problem-solving, and decision-making skills.
• Some experience in IT operations and systems (SAP, MES, LIMS), shop floor automation systems, and manufacturing.
• Written and verbal communication skills, including the ability to communicate with business and technical teams.
• Ability to work independently and effectively as part of a team across global hubs, maintaining a highly collaborative and transparent effort.

Preferred

• Experience in IT/Automation projects and operation management.
• Familiarity with advanced/emerging technology trends such as SMACIT (Social, Mobile, Analytics, Cloud, and Internet of Things), AR/VR, Blockchain, and Data Science.
• Experience with SCADA/Data Acquisition systems.
• Strong experience in SQL and data visualization tools like PowerBI, Tableau, and Spotfire.
• Knowledge of IT-OT convergence.
• Programming experience in Python/R.
• Familiarity with Big Data Engineering and ETL.
• Experience working in a large global matrix organization.
• Working experience/knowledge in a manufacturing environment.

Job Responsibilities

• Respond to the recovery and repair of Ride & Show mechanical, electrical, hydraulic, and pneumatic equipment at Universal Studios Singapore (USS).
• Troubleshoot failed components using basic test equipment, schematics/prints, and specialized tools, equipment, and resources.
• Report to the Team Lead during the reset of Ride & Show systems to ensure safe operation.
• Support the Attractions Operations team in the safe evacuation of guests from ride vehicles during downtime.
• Operate company forklifts or specialized vehicles, such as high-reach boom lifts, when required for the recovery of rides and shows (training will be provided by the company).
• Operate equipment and tools safely in accordance with general handling practices and Safe Work Procedures.
• Log completion of inspections, corrective actions, and/or repairs made, including a list of applicable parts used.
• Generate required Work Orders for repair work performed.

Job Requirements

• Diploma in Mechanical, Electrical, Mechatronic Engineering, or a related field of study.
• 3-5 years of experience in troubleshooting and repairing basic to moderately complex systems, including electrical/PLC controls, electro-mechanical devices, hydraulics, pneumatics, and mechanical equipment (experience in these areas will be an advantage).
• Strong ability to troubleshoot electromechanical problems and use good judgment in high-pressure situations.
• Ability to work at height.
• Willingness to perform 12-hour shift work, including permanent day shifts, weekends, and public holidays.

Today, Lonza is a global leader in life sciences operating across three continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that’s the kind of work we want to be part of.

Did you know that we are the 1st biologics contract manufacturer in Singapore? We offer you exposure to upcoming biotech and established pharmaceutical companies and to the manufacturing technology needed to produce mammalian treatments and cell therapies of tomorrow. Our global manufacturing network is recognized for its reliable, high-quality services, regulatory track record, global footprint, innovative technology platforms and extensive experience – we, in Singapore are proud to be part of this global network.

As a Lead Scientist you will be joining Cell Culture Development team within the Development Services in Lonza Singapore. This group is responsible for the development and characterization of manufacturing processes used for the production of novel therapeutic recombinant proteins for Lonza’s global client base. The purpose of this role is to execute process development and process characterization activities (BLA studies) and to provide technical expertise to support troubleshooting activities at both laboratory and manufacturing scale.

Key responsibilities:

• Contribute to Process Validation / Process Characterization activities by supervise and/or supporting laboratory scale studies, employing QbD concepts and DoE methodologies.
• Data analysis and interpretation to define critical process parameters and operational ranges. The use of statistical software will be required for Process Validation/ Characterization activities.
• Acting as a cell culture SME in process risk assessment, e.g. Failure Mode and Effects Analysis (FMEA).
• Deliver high quality communication to ensure an outstanding customer experience (written documents, technical justifications, telecons, face to face meetings).
• Working as part of a site and global project team, co-ordinate multiple projects and ensure timely delivery of project work stages.
• Cell culture activities include scale down model qualification, primary harvest, process parameter screening, NOR&PAR finding, defining control strategies using shake flasks, bench scale (10L) bioreactors, depth filters, robotic bioreactor system (Ambr250), and etc.
• To supervise hands-on laboratory work in the cell culture process development team contributing to the development of processes suitable for technology transfer to the cGMP manufacturing teams. An understanding of cGMP manufacturing facility constraints and their impact on development activities will be developed.

Key requirements:

• Degree/PhD in a relevant Science field or Equivalent.
• Minimum 6 years' work experience in relevant field or PhD with 4 years postdoctoral experience.
• Understanding of theory and application of mammalian cell culture. Practical laboratory experience in robotic bioreactor system operation is highly advantageous.
• Understanding of cGMP regulations and prior experience in the use of statistical software or good statistical knowledge will be advantageous.
• Prior experience in facility fit assessment, process risk assessment, or good QbD knowledge will be advantageous.
• Good problem solving and analytical skills, good communication skills (verbal and written) good technical writing skills and good team working skills required.

Every day, Lonza’s products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically.

People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.

About our company

We are a leading engineering and construction company based in Singapore. With multifaceted project management capabilities and a strong diverse workforce, we provide a full range of services in engineering, procurement, construction and maintenance of power and industrial plants across the world.

Responsibilities:

• Internal Controls Assessment – Conduct reviews of internal controls to ensure they comply with JSOX (Japanese Sarbanes-Oxley) requirements. This involves evaluating the effectiveness and efficiency of control mechanisms, identifying any gaps or weaknesses, and recommending improvements. Additionally, ensure that all processes and procedures align with regulatory standards and best practices to mitigate risks and enhance operational integrity.
• Reporting and Documentation – Prepare detailed reports and documentation for risk assessments, audits, and compliance activities, ensuring accuracy and timeliness.
• Compliance Program Management – Manage compliance programs, ensuring all activities adhere to regulatory and internal standards.
• Risk Assessment Coordination – Actively coordinate and conduct detailed risk assessments across various operational activities, ensuring potential risks are identified and mitigated effectively.
• Lessons Learned Maintenance – Maintain and update a comprehensive database of lessons learned from past projects, facilitating continuous improvement and knowledge sharing.
• Any other duties to be asisgned from time to time

Pre-requisites:

• Degree in Accounting, Finance, Engineering or a related field
• Minimum 5 years of relevant work experience
• Prior compliance audit / Risk Management experience is preferred
• Self-motivated individual with a high level of integrity, drive and sense of urgency
• Strong collaboration skills and ability to work independently across different businesses units with different stakeholders
• Meticulous and mature with strong oral and written communication skills
• Strong analytical and problem-solving skills
• Ability to manage multiple tasks and meet deadlines

The Senior QA Lead will oversee the activity of the quality assurance department and staff, developing, implementing and maintaining a system of quality and reliability testing for the organisation’s product and development processes.

Responsibilities

• Oversees the daily workflow and schedules of the department
• Develops, implements and manages processes to ensure that products meet required specifications for quality prior to delivery.
• Communicates quality standards and parameters to QA and Production team.
• Identify and analyses issues, defects and other problems, particularly when problem recur in multiple products; recommend and facilitates solution to these issues
• Review client, customer and user feedback
• Conduct internal reviews and audits based on QMS ISO 9001
• Prepare First-Article reports
• Participate in ISO 9001 internal annual audit
• Perform other ad-hoc duties as assigned by the management team

Requirements

• Excellent verbal and written communication skills
• Good interpersonal and customer service skills
• Attention to details with strong analytical and problem-solving skills
• Proficient with Microsoft Office Suite
• 3 to 5 years of experience in related field with supervisory experience a plus

Education Qualification

Bachelor's Degree or diploma

Working Location: Tuas Link 1

Working Hours: Monday to Friday, 8.30am to 6pm

Job Responsibilities

• Responds to Attractions recovery and repair of Ride & Show mechanical, electrical, hydraulic, and pneumatic equipment in USS (Universal Studios Singapore).
• Troubleshoots failed components using basic test equipment, schematics/prints and specialized tools, equipment and resources.
• Report to Team Lead during reset of Ride & Show system to ensure safe operation.
• Support Attractions Operation team on the safe evacuation of guests from Ride vehicles during downtime.
• Operate company forklift or specialised vehicle such as high-reach boom lifts when required for recovery of Rides and Shows (Training will be provided by company.)
• Operate equipment and tools safely in accordance with general handling practices and Safe Work Procedures.
• Logs completion of inspections, corrective action and/or repairs made and listing of applicable parts used.
• Generate the required Work Orders for repair work performed.

Job Requirements

• Diploma in Mechanical/Electrical/Mechatronic Engineering or related field of studies.
• 3-5 Years experience in troubleshooting and repair of basic to moderately complex systems which include - electrical/PLC controls, electro-mechanical devices, hydraulic, pneumatic, and mechanical equipment will be an advantage.
• Ability to troubleshoot electromechanical problems and use good judgment in high pressure situations.
• Able to work at height.
• Able to perform 12 hours shift work, permanent day and weekends/public holidays.

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Senior or Lead Research Engineer to implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges. We are seeking a talented and experienced Software Engineer with experience in MLOps/AI to join our dynamic team. In this role, you will play a key role in software development and focusing on deploying machine learning models, implementing MLOps best practices. You will closely work with our cross-functional research teams to streamline model deployment, improve scalability and reliability of systems.

The key roles and responsibilities include the following:

-Develop, test, and maintain enterprise system and applications, with a focus in ML/AI systems.

-Implement MLOps best practices to automate model training, deployment, and monitoring processes.

-Optimize and Implement machine learning algorithms and deep learning architectures.

-Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.

-Optimize AI pipelines for scalability, reliability, and better performance.

-Conduct performance analysis and optimization to improve model efficiency and accuracy.

-Stay updated on the latest advancements in software engineering, AI/ML technologies and best practices.

Job Requirements

-Bachelor or Master's Degree in Computer Science/Engineering or relevant Disciplines

-Must have a minimum of 8 years of experience as a Software Developer/Engineer

-Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Containerization Technologies

-Proficiency in designing and developing microservices and software systems using C# .NET, Python and angular

-A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.

-Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)

-Can do attitude and happy to interface with multiple stakeholders

-Excellent troubleshooting, follow-through, and problemsolving skills, with attention to detail

-Excellent verbal and written communication skills

-Familiarity with deep learning architectures and natural language processing (NLP) techniques.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Senior or Lead Research Engineerto implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges. We are seeking a talented and experienced Software Engineer with experience in MLOps/AI to join our dynamic team. In this role, you will play a key role in software development and focusing on deploying machine learning models, implementing MLOps best practices. You will closely work with our cross-functional research teams to streamline model deployment, improve scalability and reliability of systems.

The key roles and responsibilities include the following:

-Develop, test, and maintain enterprise system and applications, with a focus in ML/AI systems.

-Implement MLOps best practices to automate model training, deployment, and monitoring processes.

-Optimize and Implement machine learning algorithms and deep learning architectures.

-Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.

-Optimize AI pipelines for scalability, reliability, and better performance.

-Conduct performance analysis and optimization to improve model efficiency and accuracy.

-Stay updated on the latest advancements in software engineering, AI/ML technologies and best practices.

Job Requirements

-Bachelor or Master's Degree in Computer Science/Engineering or relevant Disciplines

-Must have a minimum of 5 years of experience as a Software Developer/Engineer

-Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Containerization Technologies

-Proficiency in designing and developing microservices and software systems using C# .NET, Python and angular

-A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.

-Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)

-Can do attitude and happy to interface with multiple stakeholders

-Excellent troubleshooting, follow-through, and problemsolving skills, with attention to detail

-Excellent verbal and written communication skills

-Familiarity with deep learning architectures and natural language processing (NLP) techniques.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.