Total 46 information technology job vacancies in high barnet barnet

We are seeking a proactive Workspace Technology Engineer to provide end-user support. This role demands a strong problem-solver with excellent communication skills, capable of managing a range of hardware, software, and AV support issues. You’ll be the key interface between IT and the business, contributing to both day-to-day operations and greenfield projects. The ideal candidate will take initiative to analyze problems, propose solutions, and see them through to implementation while working alongside the team.

Key Responsibilities

• Serve as the initial point of contact for Workspace Technology issues, managing and resolving problems based on priority and severity.
• Ensure continuous availability of computing resources for end-users, coordinating with IT resources for escalated issues when necessary.
• Support cloud environments including servers, networks, and applications as needed.
• Provide timely resolutions via phone, email, or in-person support.
• Build, deploy, and manage Workspace Technology devices (including imaging, antivirus systems, application maintenance, patching, and system rollouts).
• Lead system orientation for new hires and manage end-user devices such as laptops, desktops, and mobile devices.
• Document processes, standards, configurations, and procurement details, ensuring records are up to date.
• Collaborate with the wider Workspace Technology team and Technology Team resources for comprehensive problem resolution.

Requirements

• Bachelor’s degree in Computer Science or a related field.
• 2-5 years of end-user or infrastructure support experience in a professional services environment.
• Fundamental understanding of Microsoft 365 (M365) setup and management within an organization.
• Good knowledge of hardware, including desktops, laptops, and mobile devices.
• Strong customer service orientation and a passion for helping end-users resolve issues efficiently.
• The ability to remain calm under pressure and handle urgent situations with professionalism.
• Excellent written and verbal communication skills, with the ability to multitask and manage time effectively in both independent and team settings.

Nice-to-Haves

• Experience with supporting users in the financial industry or on the trading floor.
• Strong technical background with the ability to identify, analyze, and resolve issues efficiently.
• Experience with Azure Active Directory, Windows, Unix environments, desktop, and server hardware.
• Familiarity with cloud platforms such as Azure and AWS (certifications are an advantage).
• Knowledge of PowerShell, scripting, or coding is highly desirable.

We are seeking an experienced Salesforce Architect specializing in Experience Cloud, Service Cloud, and Field Service. This role involves designing and implementing scalable Salesforce solutions, leading technical architecture discussions, and ensuring best practices in development. The ideal candidate will possess deep knowledge of Salesforce platform capabilities, specifically in customer engagement, service operations, and field service management.

Key Responsibilities:

• Lead Salesforce architecture design across Experience Cloud & Service Cloud.
• Develop scalable solutions that align with business needs.
• Collaborate with stakeholders to translate requirements into technical solutions.
• Guide development teams on best practices, data models, and integrations.
• Ensure successful delivery of projects, including system customization, automation, and customer service enhancements.

Requirements:

• Certified Salesforce Data Architect, Certified Salesforce Application Architect
• Masters in Computer Science or similar
• Proven experience as a Salesforce Architect, with a focus on Experience Cloud, Service Cloud, and Field Service.
• Deep understanding of Salesforce platform, workflows, security models, and APIs.
• Experience with Salesforce Lightning, Apex, and Visualforce development.
• Strong knowledge of customer experience management, service operations, and field service optimization.
• Salesforce certifications (e.g., Salesforce Certified Application Architect, Service Cloud Consultant, Field Service Lightning) preferred.
• Strategic thinking with the ability to translate business objectives into technical architecture.
• Expertise in customer engagement platforms and service process automation.
• Excellent communication and leadership skills.

Top 3 Core skills:

• Salesforce Architect
• Service Cloud Experienced developer
• Experience Cloud Experienced developer

Skills which are good to have / optional:

• Field Service Lighting Experience
• Marketing Cloud experience
• Experienced with technical integration

ABOUT US

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION
NLP Engineer

REPORTING STRUCTURE

The NLP Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE
As an NLP Engineer at LTS, you will play a crucial role in developing and enhancing our AI-driven products and services. We're seeking a skilled Data/NLP Engineer to join our team to develop and drive a data strategy to optimise model performance and manage the data pipelines for training and evaluating our custom LLMs.

RESPONSIBILITIES

• Work closely with domain experts to understand data sources, formats and structure.
• Collaborate with Machine Learning Engineers and MLOps Engineers to understand data requirements for LLM training and inference.
• Engage in data engineering tasks, including data collection, preprocessing, quality control and augmentation to ensure high-quality datasets for model training.
• Develop from scratch and fine-tune both traditional NLP and LLM models on LTS cloud infrastructure, optimizing for safety and performance (measurable via benchmarks)
• Collaborate with domain experts and carry out independent research to optimise and develop product evaluation suites to measure model and product performance.
• Explore and implement techniques for mitigating bias and ensuring fairness within the training data for the LLM.
• Lead in the development and implementation of strategies for data augmentation improve LLM performance.
• Collaborate with AI and MLOps Engineers to integrate NLP models into automated pipelines.
• Stay abreast of the latest NLP techniques and methodologies, experimenting with new models and approaches to maintain our competitive edge.
• Conduct rigorous testing and validation of NLP models to ensure robustness and reliability.
• Document and present model development processes, results, and insights to both technical and non-technical stakeholders.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
• Proven experience in NLP or related areas, with a strong portfolio of projects demonstrating expertise in data engineering and model training/finetuning.
• Solid understanding of machine learning algorithms, language modeling, and their applications.
• Proficiency in programming languages such as Python, and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face).
• Experience with cloud computing platforms and services, and the ability to deploy and manage large models in a cloud environment.
• Strong problem-solving skills, with a creative and analytical approach to tackling complex challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

ABOUT US
LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION
AI/ML Engineer (Backend)

REPORTING STRUCTURE

The AI/ML Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE
As an AI/ML Engineer at LTS, you will play a crucial role in developing and enhancing our AI-driven products and services. We're seeking a talented Software Engineer to join our team and be responsible for deploying, maintaining, and scaling the infrastructure that serves our custom LLMs for a variety of use cases.

RESPONSIBILITIES

• Design, develop, and implement highly scalable backend services on AWS to support efficient training and inference of our LLM.
• Keep abreast of developments in AWS or other services to manage the LLM training and inference operations.
• Develop and optimise APIs to facilitate communication between the LLM and frontend applications for user interaction with functionalities from a variety of use cases.
• Design and implement data pipelines for efficiently moving training data to and from the LLM training environment on AWS (e.g., S3 Buckets, EFS storage).
• Integrate containerization technologies like Docker and container orchestration platforms like Amazon Elastic Kubernetes Service (EKS) for managing the LLM inference environment.
• Configure and implement robust security practices within your backend services to protect the LLM and user data at rest and in transit.
• Develop and implement logging and monitoring solutions (e.g., CloudWatch Logs, CloudWatch Metrics) to track the health and performance of the backend infrastructure and the LLM.
• Collaborate with ML and Front Eng Engineers to understand their specific requirements for training and inference, and translate those needs into efficient backend solutions.
• Collaborate with MLOps Engineers to automate the deployment and management of backend services and the LLM.
• Stay up-to-date on the latest advancements in AWS services relevant to backend development and LLM infrastructure.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
• Proven experience in NLP or related areas, with a strong portfolio of projects demonstrating expertise in data engineering and model training/finetuning.
• Solid understanding of machine learning algorithms, language modeling, and their applications.
• Proficiency in programming languages such as Python, and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face).
• Familiarity with popular vector database platforms like Pinecone, Faiss, or Milvus would be beneficial.
• Experience with cloud computing platforms and services, and the ability to deploy and manage large models in a cloud environment.
• Experience with data pipelines and data processing tools on AWS (e.g. AWS Lambda).
• Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation
• Strong problem-solving skills, with a creative and analytical approach to tackling complex challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

ABOUT US

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION

Senior AI Solutions Architect

REPORTING STRUCTURE

The Senior AI Solutions Architect will report directly to the Chief Executive of LawNet Technology Services (LTS).

ABOUT THE ROLE

We are seeking an experienced technical manager to lead our engineering team. This team is responsible for the development of LTS AI products and management and optimisation of the platform supporting these developments. The role entails leading an engineering team towards the ongoing design, development and deployment of custom Large Language Models and the design and development of AI products that leverage these models.

RESPONSIBILITIES

• Develop and direct a high performing AI engineering team towards the deployment of scalable and reliable AI products for the legal sector.
• Design and deploy end-to-end solutions to support the reliable service of the AI products to endusers.
• Set, justify and present technical direction that is adaptable to continually evolving technological landscape.
• Collaborate closely with stakeholders, including senior management, senior legal professionals, academics, as well as other engineering teams within the local AI ecosystem.
• Coach engineering team to ensure their professional growth and technological development.

SKILLS AND QUALIFICATIONS

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• Over 5 years of experience working as part of an AI/ML engineering team in a production environment, with at least 2 years in a leadership capacity.
• Proficiency in Python and AI/ML frameworks (e.g. PyTorch, Tensor Flow).
• Demonstrated experience in designing and developing scalable backend architectures.
• Familiarity with natural language data processing techniques, tools and libraries.
• Experience with containerization (Docker) and familiarity with orchestration techniques (Kubernetes).
• Experience deploying solutions on cloud platforms, preferably with cloud certification.
• Deep understanding and interest in LLM specific techniques, such as fine-tuning, prompt, engineering, LLM testing, and development of evaluation metrics, quantisation, PEFT.
• Excellent communication skills for conveying technical concepts to non-technical stakeholders.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

ABOUT US

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION

MLOps Engineer

REPORTING STRUCTURE

The MLOps Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE

We are seeking an experienced MLOps Engineer specializing in large language models at LawNet Technology Services. You will be at the forefront of operationalizing and scaling our AI capabilities. This role demands a unique blend of skills in machine learning, software engineering, and cloud technologies to efficiently deploy, monitor, and manage our large language models in production. Your expertise will directly contribute to the reliability, efficiency, and scalability of our AI services.

RESPONSIBILITIES

• Design and implement robust MLOps pipelines tailored for large language models, ensuring seamless transition from development to production.
• Work closely with data scientists and AI researchers to automate and optimize the model training, fine-tuning, inference and evaluation processes for our large language models on cloud infrastructure.
• Ensure the LLM can be seamlessly integrated with the serving infrastructure managed by the software engineering team.
• Explore and implement techniques for continuous learning of the LLM as new user data becomes available.
• Develop and implement strategies for monitoring model performance (accuracy, latency, fairness) in production.
• Set up alerts and dashboards to proactively identify and troubleshoot potential issues with the LLM.
• Stay up-to-date on the latest advancements in MLOps tools and methodologies.
• Implement monitoring and logging systems to track model performance, resource utilization, and operational health, enabling proactive maintenance and optimization.
• Ensure compliance with data privacy and security protocols throughout the model lifecycle.
• Facilitate continuous integration and delivery (CI/CD) processes for machine learning models, incorporating automated testing and quality assurance practices.
• Collaborate with stakeholders to understand operational requirements and challenges, translating them into technical solutions that enhance our AI capabilities.
• Stay updated with the latest advancements in MLOps, cloud technologies, and large language model development, incorporating best practices to maintain our competitive edge.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Solid experience in MLOps, DevOps, or software engineering, with a specific focus on machine learning and large language models.
• Strong experience in building and managing machine learning pipelines.
• Proficiency in cloud computing platforms (AWS, GCP, Azure) and services related to machine learning and large-scale computing.
• Strong background in containerization and orchestration technologies (Docker, Kubernetes), as well as infrastructure as code (Terraform, CloudFormation).
• Demonstrated ability in programming with Python and experience with ML frameworks (TensorFlow, PyTorch, Hugging Face).
• Understanding of best practices for data security, privacy, and compliance in the context of AI and machine learning.
• Excellent problem-solving skills, with the ability to work in a fast-paced, evolving environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

The Role:

• Develop and implement a comprehensive SEO (Search Engine Optimization) strategy to increase organic traffic, rankings, and conversions.
• Conduct keyword research to identify opportunities and ensure content aligns with the search intent of our target audience, including HR Managers and business decision-makers.
• Optimize website structure, on-page elements, and content to improve search engine rankings.
• Manage technical SEO aspects, including site speed, crawlability, mobile-friendliness, and indexation.
• Collaborate with the content team to create SEO-friendly content that drives engagement and supports lead generation.
• Monitor, analyse, and report on SEO performance using tools like Google Analytics, Search Console, and SEMrush.
• Stay up-to-date with the latest SEO trends, algorithm changes, and best practices to ensure our strategies remain effective and competitive.
• Conduct regular SEO audits to identify areas for improvement and implement necessary changes.
• Build and execute link-building strategies to enhance domain authority and online presence.
• Coordinate with web developers to implement necessary changes and improvements on the website.
• Understand buyer personas and leverage insights to create targeted SEO strategies that align with their needs and behaviours.

What Do You Need to Have?

• Candidates need to possess a Bachelor’s Degree in Marketing, Digital Marketing, Business, or a related field.
• Candidates MUST possess minimum of 5 years of direct SEO experience, preferably from technology (SaaS) industry or Professional Services (outsourcing) industry in a B2B environment.
• In-depth knowledge of search engine algorithms, ranking factors, and SEO best practices.
• Proficiency in SEO tools such as Google Analytics, Google Search Console, SEMrush, etc.
• Strong understanding of technical SEO and experience working with web developers.
• Excellent analytical skills and ability to interpret data to make informed decisions.
• Strong communication skills, with the ability to collaborate effectively across teams.
• Ability to manage multiple projects and priorities in a fast-paced environment.
• Self-motivated with a results-driven mindset.

If you think you fulfilled the job criteria above, please send your updated CV to alvinlim@tahliawaters.com

We would love to hear from you! Please note that only shortlisted candidates will be notified.

IT Support Technician Responsibilities:

• Installing new software and hardware components.
• Regularly evaluating our IT systems to ensure they meet the necessary demands.
• Assisting with network administration tasks.
• Ensuring data storage is safe and secure.
• Resolving all issues coworkers have with their IT systems and software.
• Educating coworkers about network security and best practices for computer usage.
• Supporting the day-to-day operations of our computer network.

IT Support Technician Requirements:

• Degree in computer science, Electronic Engineering or other related field.
• Professional certification is advantage
• Strong analytical, diagnostic, and problem-solving skills.
• Good communication ability, both written and verbal.
• Personable, professional demeanor.
• Must be able to be standby for any urgent works required.
• Required to travel in town by public transport
• 6 days work week
• Flexible working hours

Top 3 Core skills

1. SAP Ariba – Supplier Lifecycle Management

2. SAP Ariba – Supplier Onboarding and enablement

3. SAP Ariba – Supplier Data migration

Skills which are good to have / optional

1. SAP Ariba – Strategic Sourcing Suite

2. SAP CIG/CPI configuration

3. S/4HANA Business Partner

Detailed Job Description

• Lead functional consultant for the Supplier Management workstream
• Engaging clients to understand and validate business requirements, proposing solutions and preparing Design documentation
• Hands-on configuration and testing for all Ariba-SLP components and supporting master data
• Preparation of design deliverables and training materials
• Post Go-Live support for end-users"

• Functional Architect for Telco CPQ, Order Management and Billing Transformation project.
• Play a SME role and provide guidance to Business Analysts on the project.
• Responsible to analyse and design business processes to improve efficiency and productivity.
• Work closely with stakeholders to gather requirements and translate them into functional specifications.
• Identify areas for process improvement and recommend solutions
• Develop and maintain project plans and timelines.
• Communicate project status and updates to stakeholders.

Requirements:

• Min. 7 years of experience in the related fields below:- Salesforce and Cloudsense projects
• Experience with CPQ, CRM, Order Management and Billing Management processes for Telecommunication industry
• Strong Project Management and communication skills
• Testing experience

About Us

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

REPORTING STRUCTURE

The Assistant Manager (LawNet Product Operations) will report to the Deputy Director (Product Management). You will oversee and ensure defined product releases of LawNet are on schedule.

KEY RESPONSIBILITIES

• Oversee and ensure defined product releases of LawNet are on schedule.
• Assist with analysis of internal and external stakeholders needs and desires by market research, surveys or user group testing.
• Support product ideation, technical development, product testing, launch, end-user training and rollout.
• Assist in the planning of product release plans with product managers and prepare artefacts for delivery of new functionalities to external stakeholders.
• Recommend new tools and processes within the product team to ensure adequate visibility for stakeholders on progress and enable an efficient product management practice.
• Embody and champion the product vision, roadmap and growth opportunities to the development teams and stakeholders.
• Analyze feedback from users and usage data to identify new opportunities or problems that the product should address.
• Play an active role in mitigating impediments impacting successful team completion of Release/Sprint Goals.
• Assist in the operational preparation of user feedback sessions and support the synthesis efforts.
• Evaluate release risk and provide advice and guidance to stakeholders and business units.
• Complete product operational activities by scheduling and coordinating within the product team and internal stakeholders; and following up on work results.
• Create relevant product documentation for stakeholders’ reference.
• Maintain professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies.
• Contribute to team effort by accomplishing related results as needed.

SKILLS AND QUALIFICATIONS

• At least Diploma in Information Technology / Business Management.
• Bachelor's Degree in Information Technology / Business Management is preferred.
• Experience in software product management, or as an associate product manager, with successes in (1) understanding the end-user and driving product adoption, and (2) delivering products on-time and defining product success metrics ensuring commercial relevance.
• Technical background with understanding and/or hands-on experience in software development and web technologies.
• Polished professionalism with outstanding strategic, organizational, planning (project & finances), communication, and problem-solving skills.
• Team player who is independent, resilient and resourceful.
• Comfortable working in a fast-paced and dynamic environment.
• Proven track record of exceeding KPIs.
• Proven ability to collaborate with internal and external stakeholders.
• Experience in liaising with government stakeholders and working with public sector systems is an advantage.
• Strong metrics and analytical orientation.
• Able to multi-task within tight deadlines.
• Excellent written and verbal English communication skills, with strong presentation skill.
• Background operating in Legal practice will be a plus.
• Proficient in the use of Microsoft Office applications (e.g. Excel, Word, PowerPoint, Outlook, SharePoint) and digitally proficient to learn the use of new tools.

The level of offer and appointment designation will be commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Purpose and Scope

Sembcorp Industries Ltd is a leading energy and utilities company headquartered at Singapore. We are committed to delivering sustainable solutions that meet the world's growing energy needs while addressing environmental challenges. Our Group Center of Excellence (GCOE) provides technical advisory services to support various business units across all countries during project development and serves as Level 2 assessors for the Operations & Maintenance (O&M) phase. We focus on achieving Consistency through the development and implementation of policies and standards, as well as driving Excellence in our operations and project execution.

POSITION SUMMARY:

The Head of Solar Technology is a strategic leadership role responsible for overseeing the solar technology strategy, development, and implementation across our global operations. This role will lead a team of solar technology team members based in Singapore, China, and India, ensuring that our solar projects are designed, executed and maintained with the highest technical standards, consistency, and excellence. The role will also play a critical part in advancing our renewable energy initiatives and supporting the company's growth in the renewable energy sector.

KEY RESPONSIBILITIES:

1. Technology Strategy & Development

• Develop and implement the company's solar technology strategy in alignment with business objectives and industry trends.
• Drive innovation and continuous improvement in solar technology across all projects and operations.
• Collaborate with cross-functional teams to integrate solar technology advancements into project design and execution.

2. Technical Advisory & Support

• Provide expert technical advisory services to business units during the project development phase.
• Serve as a Level 2 assessor during the O&M phase, ensuring compliance with established policies and standards.
• Ensure that all solar projects meet the highest technical standards and contribute to the company’s sustainability goals.

3. Policy & Standards Development

• Develop, implement, and maintain solar technology policies, standards, and best practices to ensure consistency and excellence across all projects.
• Collaborate with other departments within the Group Center of Excellence to align solar technology initiatives with broader company objectives.

4. Stakeholder Engagement

• Engage with internal and external stakeholders to promote the adoption of best practices and innovative solar technology solutions.
• Represent the company at industry forums, conferences, and events to stay abreast of emerging trends and technologies in the solar energy sector.

5. Project Oversight & Risk Management

• Oversee the technical aspects of solar projects from conception to completion, ensuring that they are delivered on time, within budget, and with the desired quality.
• Identify and mitigate technical risks associated with solar technology deployment.

6. Leadership & Team Management

• Lead and manage a team of solar technology specialists based in Singapore, China, and India.
• Foster a collaborative and high-performance culture within the team.
• Provide mentorship and professional development opportunities for team members.

Qualifications & Experience

• Bachelor's degree in a relevant field (e.g., Renewable Energy, Electrical Engineering, Environmental Science).
• Proven track record in solar project development and operations, with a minimum of 10 years in a leadership role.
• Strong technical knowledge of solar photovoltaic systems, grid integration, and O&M best practices.
• Excellent project management and communication skills.
• Ability to work effectively in a global, cross-functional team environment.
• Familiarity with regulatory requirements and environmental considerations in the solar industry.
• Stellar stakeholder management skills and interpersonal skills.
• Experience in leading teams in a fast-paced environment across multiple locations.