The PMO Analyst is a mid-level professional role within the PMO, accountable for end-to-end PMO operations, financial governance, and analytical support across a portfolio of projects.
This role goes beyond administrative PMO support and requires a high degree of ownership, professional judgment, and drive, particularly in project billing, invoicing, financial tracking, and PMO framework evolution.
The role will actively support the revamp of the PMO framework and operating model, and must be able to operate across Waterfall, Agile, and AI-enabled project environments.
Key Responsibilities PMO Operations & Governance Independently manage assigned PMO workstreams across multiple projects. Apply PMO governance standards, frameworks, and controls consistently across delivery teams. Exercise judgment in interpreting PMO policies, standards, and reporting requirements. Proactively identify risks, gaps, and inefficiencies within PMO processes and drive resolution.
Project Billing, Invoicing & Financial Governance Own and manage project billing and invoicing matters end-to-end, ensuring accuracy, timeliness, and compliance. Track project costs, charge-outs, budgets, and forecasts; perform variance and trend analysis. Work directly with Finance, Procurement, and project teams on billing clarifications, reconciliations, and issue resolution. Maintain audit-ready financial documentation and ensure transparency of financial data. Act as a key point of accountability for PMO-related financial controls. This role requires prior hands-on experience in project billing, invoicing, or financial tracking within a PMO or project environment.
PMO Framework & Operating Model EvolutionContribute actively to the revamp and enhancement of the PMO framework and operating model. Support the design, refinement, and rollout of PMO processes, templates, and governance mechanisms. Apply prior experience from PMO or consulting environments to strengthen PMO maturity. Drive continuous improvement initiatives aligned with organisational strategy and delivery needs. Delivery Methodologies & Project Types Provide PMO support across Waterfall, Agile, and hybrid delivery models. Demonstrate working knowledge of Agile concepts, ceremonies, artefacts, and metrics. Support AI, data, automation, or digital initiatives, recognising differences in governance, delivery cadence, and risk profiles. Adapt PMO practices appropriately to different project types rather than applying a one-size-fits-all approach.
Data, Analytics & Management Reporting Produce management-level PMO dashboards, reports, and insights with strong numerical rigor. Analyse financial, delivery, and resource data to support decision-making. Translate complex data into clear, structured, and actionable insights for senior stakeholders. Maintain high standards of data accuracy, consistency, and traceability.
Digital Enablement & Tooling Support the use of AI, automation, and analytics to improve PMO effectiveness and efficiency. Contribute to or support low-code solutions (e.g. OutSystems) used for PMO workflows, tracking, or reporting. Actively identify opportunities where digital tools can reduce manual effort or improve visibility.
Stakeholder Engagement & Professional Maturity Engage confidently with project managers, delivery teams, vendors, and senior stakeholders. Communicate clearly on PMO, financial, and governance matters. Demonstrate professional maturity, accountability, and follow-through expected of the role.
Job RequirementsProven experience handling project billing, invoicing, or financial tracking in a PMO or project environment. Experience in Agile delivery environments and AI / digital projects. Strong numerical and analytical capability with attention to detail. Ability to create KPI and dashboards. Experience working within a PMO framework or structured project environment. Ability to operate independently with minimal supervision. High level of drive, ownership, and accountability.Prior consulting experience (management, technology, or advisory). Experience or familiarity with Agentic AI, OutSystems or other low-code platforms.

ST Engineering is a leader in engineering innovation, committed to creating solutions that improve lives and transform industries globally. Our workplace fosters collaboration, diversity, and inclusion, providing employees with a dynamic environment to grow their careers and contribute to meaningful technological advancements.
Role SummaryAs a Engineer in Data Analytics at the GEC, you will play a key role in designing, developing, and implementing DevOps tools and processes. You will work closely with product, project and cross-functional teams to deliver DevOps solutions. Your contributions will support strategic decisions, optimise operational processes, and enable innovation within ST Engineering's diverse portfolio.
Key ResponsibilitiesWork closely with product owners, architects, and development teams to design and operate highly available, scalable, and secure platforms.Lead the containerization and orchestration strategy using Docker and Kubernetes, including cluster lifecycle management and workload optimization.Own, maintain, and continuously improve CI/CD pipelines, enabling reliable and repeatable application delivery across environments.Implement and manage Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or equivalent.Apply cloud-native best practices across AWS / Azure / GCP environments (cloud experience considered a strong bonus).Design and maintain deployment, rollout, and rollback strategies for cloud and on-prem/hybrid workloads.Embed security, compliance, and cost optimization into CI/CD pipelines and infrastructure (DevSecOps approach).Monitor, troubleshoot, and optimize platform performance using logging, monitoring, and alerting tools.Drive continuous improvements in system reliability, scalability, and deployment velocity.Mentor and coach junior DevOps engineers, conducting design reviews, code reviews, and knowledge-sharing sessions.Lead incident response, root-cause analysis, and post-incident improvements.Evaluate and introduce new tools, cloud services, and automation opportunities to improve engineering productivity.
Qualifications and SkillsBachelor’s degree in Computer Science, Engineering, or equivalent practical experience.Proven experience as a Senior DevOps Engineer supporting hybrid (on-prem + cloud) environments.Strong hands-on expertise with vanilla Kubernetes, including cluster operations, upgrades, and troubleshooting.Experience managing GitOps workflows using Argo CD.Solid experience building and maintaining CI/CD pipelines using Azure DevOps.Proficiency in creating and managing Helm charts for application packaging and deployment.Strong scripting and automation skills (Bash, Python, or similar).Experience with Infrastructure as Code (e.g., Terraform or equivalent).Familiarity with monitoring, logging, and alerting in distributed systems.Ability to collaborate closely with development and product teams.Experience mentoring junior engineers and promoting DevOps best practices.Strong problem-solving skills and a continuous improvement mindset.
Why Join Us?At ST Engineering, you will be part of a culture that values innovation, teamwork, and professional growth. We support career development through training programmes, challenging projects, and mentorship. This position offers the chance to work with cutting-edge analytics technologies and contribute to meaningful engineering solutions that have global impact.If you are passionate about leveraging data to solve complex problems and eager to play a significant role in a leading engineering group, we encourage you to apply for this exciting opportunity.

The Data Analytics Strategic Engineering Centre (DA SEC) is one of five SECs within the Group Engineering Centre (GEC) in ST Engineering. Its mission is to deepen Data Analytics (DA) capabilities, proliferate DA usage group-wide, and to develop common/reusable DA products and tools for both internal and external use by all lines of businesses.DA SEC provides analytics consulting services to our internal customers and also assists them in projects with external customers. We are looking to hire an experienced data analyst / data scientist with strong analytics modelling skills and ability to elicit key analytics business value and build rapport with customers. The selected candidate will be involved in both fundamental data warehousing and business intelligence projects as well as in predictive and prescriptive analytics projects.
Key Responsibilities:Provide analytics consulting and POC implementation servicesElicit requirements and highlight key business value for each project to end-customersSupport business unit project teams and corporate functions to develop, evaluate, refine, and deploy analytics models for production.Work closely with data engineers, product managers, project managers, and platform developers in the implementation and deployment of the data analytics solution
Job Requirements:Prefer a Bachelors or Master's Degree in STEM with working experience in data analyticsIn-depth technical knowledge and experience in any of the following is preferred:1.Statistical Analysis and Demand Forecasting2.Supply Chain Risk Analytics3.Anomaly Detection4.Predictive AnalyticsIn-depth technical knowledge and experience in any of the following is advantageous:5.Network Analytics, Geometry, Topology, Geospatial Analytics6.GenAI and LLMs7.Physics-Informed Predictive Maintenance8.Sensor Technologies and Edge Analytics9.Operations Research and Optimisation10.Deep Learning11.Interpretable/Explainable AIExperience with end-to-end analytics process – ideation/value elicitation, data profiling, analytical modelling, testing, validation, visualization, and solutioning.Experience in designing and implementing ETL pipelines.Experience in BI reporting/dashboarding software, e.g. Tableau, PowerBI.Experience in SQL (any flavour), Python, Java, or C.Experience with Linux environment (any flavour) and shell scripting.Familiar with distributed computing, simulation, optimization, and visualization tools.Strong problem-solving skills, curiosity, and passion for data science.Excellent coordination and time management skills to handle complex projects.Willing and enthusiastic about continuous learning.Effective oral and written communication skills.

We’re looking for a senior Software Engineer to help us build the next-generation agentic AI platform for computer vision. You’ll own core components of the platform that orchestrate AI agents, power automated ML workflows, and deliver robust, production-grade systems.This role blends backend excellence, infrastructure ownership, and a collaborative engineering mindset to scale the capabilities of AI Engineers and AI Developers. You’ll work closely with AI colleagues to bring intelligent systems to life - helping them move from local experimentation to full production.This is a hands-on, high-impact role for someone who thrives at the intersection of scalable systems and cutting-edge AI.
Key Responsibilities
Platform & Backend DevelopmentDesign backend services (Python, FastAPI, gRPC) to support agent workflows, computer vision pipelines, and evaluation loops.Build scalable APIs for orchestration, task management, vector search, and model serving.Infrastructure & DeploymentOwn CI/CD pipelines (GitHub Actions, Terraform) and production deployments.Develop infrastructure for memory stores, compute orchestration, and model packaging (Docker, TorchServe, BentoML).Engineering ExcellenceEstablish quality practices including testing (Pytest), monitoring, and observability (Prometheus/Grafana).Ensure fault-tolerant, modular, and scalable system design.Collaboration & LeadershipMentor peers through code reviews, documentation, and clean architecture.Lead system design discussions and integration with AI and platform teams.Must-Have Skills6+ years of software engineering, including 2+ in AI/ML environments.Proficient in Python and production-grade API development (FastAPI, Flask, gRPC).Experience with CI/CD and infrastructure-as-code (GitHub Actions, Terraform).Skilled in containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, or Azure).Familiarity with databases: SQL, NoSQL, and vector DBs (FAISS, Weaviate, pgvector).Understanding of ML lifecycles: data ingestion, inference, monitoring, and recovery.Proven ability to design distributed systems (API gateways, data pipelines, compute orchestration).Bonus SkillsFamiliarity with AI agent frameworks (LangChain, AutoGen, CrewAI).Understanding of computer vision concepts and deployment challenges.Exposure to LLM APIs or GenAI integrations.Experience with ML observability and error logging systemsKnowledge of front-end prototyping tools (Gradio, Streamlit, etc.).
What We OfferSmall, agile team (5–6 engineers + interns) with autonomy and real ownership.Startup feel with a big company resources:International environment where the majority of the team and leadership is from startups or big international corporations (Lazada, Gojek, IBM) and from various countries.Low-bureaucracy, high-impact startup environment where your code directly supports next-gen AI deployment.Experimentation and self-development are in our cultureKnowledge sharing and collaborationDirect collaboration with top AI researchers and computer vision scientists.Hybrid work setup: ~2–3 days in office per week.

JOB SUMMARYST Engineering Commercial Aerospace is seeking an experienced Senior Full-Stack Software Engineer with strong expertise in .NET Core, PostgreSQL, SQL Server, and working knowledge of AI agent development to join our team.
The successful candidate will be responsible for designing, developing, enhancing, and deploying high-quality, scalable web applications that support business operations and digital transformation initiatives.
The ideal candidate is well-versed in modern software development practices, stays current with emerging technologies, and demonstrates strong problem-solving capabilities with a passion for delivering robust and maintainable solutions.
RESPONSIBILITIESDesign, develop, test, and deploy full-stack web applications using .NET Core and modern web technologiesMaintain and enhance existing RPA solutions and enterprise applicationsImplement change requests and enhancements for live production systemsCollaborate with stakeholders to gather requirements and translate them into scalable end-to-end technical solutionsEvaluate new tools, frameworks, and technologies to improve system performance and development efficiencyEnsure adherence to best practices in coding, architecture, and securityWrite and maintain unit, integration, and UI tests to ensure software quality and reliabilityTroubleshoot, debug, and optimize application performanceWork closely with cross-functional teams to continuously improve application functionality and user experienceStay updated with emerging trends in web development, AI, and software engineeringSupport integrations with external systems via REST APIs
REQUIREMENTS Minimum 5 years of hands-on experience in software developmentProven experience designing, developing, and configuring .NET Core applications to meet business requirementsStrong experience building user interfaces using standard web technologiesExperience designing and developing RESTful APIs using .NET (Python experience is an advantage)Experience supporting integrations with external systems via REST APIsStrong proficiency in C#; knowledge of Python is a plusSolid experience with relational databases such as SQL Server and PostgreSQLExperience in web application development using BlazorExperience in web application development using DevExpressProficient in source control management using GitStrong analytical thinking and problem-solving skillsAbility to work effectively both independently and in a team environmentAbility to interpret and execute based on technical specifications and architecture plansAt least 5 years of experience as a Software Developer or Development Lead, with participation in at least one full Software Development Lifecycle (SDLC)Knowledge of AWS or AI agent development is an added advantage
Work Location: 600 West Camp Road
ST Engineering is a global technology, defence and engineering group with a diverse portfolio of businesses across the aerospace, smart city, defence and public security segments. The Group harnesses technology and innovation to solve real-world problems, enabling a more secure and sustainable world. Headquartered in Singapore, it has operations spanning Asia, Europe, the Middle East and the U.S., serving customers in more than 100 countries. ST Engineering reported revenue of over $12b in 2025 and ranks among the largest companies listed on the Singapore Exchange. It is a component stock of MSCI Singapore, FTSE Straits Times Index and Dow Jones Best-in-Class Asia Pacific Index.
About Commercial AerospaceST Engineering’s Commercial Aerospace business is a world-class Original Equipment Manufacturer (OEM) and Maintenance, Repair and Overhaul (MRO) service provider with proven solutions for practically every stage of an aircraft life cycle. With 50 years of reputable track record in aviation, backed by a highly experienced team of engineers and technicians across facilities in Asia Pacific, the U.S. and Europe, we know what it takes to keep the world flying safely.

Company: ST Engineering Aerospace Ltd.Location: 600 West Camp Road
1. RoleKey member of the aircraft pricing/ business team that manages aircraft lease, purchase and trading transactionsLooking for a conscientious self-starter, who is capable of independent work in managing transactions from start to completionNeeds to possess good inter-personal, communications, financial modelling and project management skills
2. Key Job AccountabilitiesGenerate financial models for pricing, perform sensitivity and stress analysis and debt financing schedules. Able to use the financial models also for business plans and cashflow forecastingAssist to prepare proposals, terms sheets and letters of intent for aircraft lease and acquisition transactionsAnalyse transaction opportunities and make recommendations to the management teamAssist to prepare financial analysis of proposals and summarise deal terms for management decision makingManage all phases of the aircraft leasing renewal, purchase, sale and transition transactions to ensure appropriate outcomes and deliverablesCoordinates with legal, finance, sales and technical teams on transaction managementParticipates in lease, sale and purchase negotiationsSupports the transaction lawyers in documentation and closing for aircraft acquisition, lease and sale transactionsAssist to provide documentation to lease management team to file and update lease management systemPrepares information for management reporting on lease function as requiredOther support duties or assignments as required
3. Reporting relationshipThis position reports to Vice President, Commercial & Marketing
4. Required Experience and QualificationsSuitable candidates is expected to possess a degree in Engineering, Finance and/or Accounting, or related disciplines. Proficiency and relevant experience in financial modelling is an advantageAt least 5 years experience in aviation finance, aviation marketing, program management and contract negotiations. Experience in the aviation leasing industry and/or M&A advisory services will be viewed favourablyHighly organized, conscientious while handling multiple tasks and transactions simultaneouslyStrong oral and written communication/presentation skillsCapable of independent work and strong team player
About CompanyST Engineering is a global technology, defence and engineering group with a diverse portfolio of businesses across the aerospace, smart city, defence and public security segments. The Group harnesses technology and innovation to solve real-world problems, enabling a more secure and sustainable world. Headquartered in Singapore, it has operations spanning Asia, Europe, the Middle East and the U.S., serving customers in more than 100 countries. ST Engineering reported revenue of over $12b in 2025 and ranks among the largest companies listed on the Singapore Exchange. It is a component stock of MSCI Singapore, FTSE Straits Times Index and Dow Jones Best-in-Class Asia Pacific Index
About Commercial AerospaceST Engineering’s Commercial Aerospace business is a world-class Original Equipment Manufacturer (OEM) and Maintenance, Repair and Overhaul (MRO) service provider with proven solutions for practically every stage of an aircraft life cycle. With 50 years of reputable track record in aviation, backed by a highly experienced team of engineers and technicians across facilities in Asia Pacific, the U.S. and Europe, we know what it takes to keep the world flying safely.
About Commercial Aerospace businessST Engineering’s Commercial Aerospace business is a world-class Original Equipment Manufacturer (OEM) and Maintenance, Repair and Overhaul (MRO) service provider with proven solutions for practically every stage of an aircraft life cycle. With 50 years of reputable track record in aviation, backed by a highly experienced team of engineers and technicians across facilities in Asia Pacific, the U.S. and Europe, we know what it takes to keep the world flying safely.

As a Software Engineer specialising in Data Analytics, you will spearhead the design, development, and optimisation of data-driven applications and analytics platforms. Your expertise will enable the transformation of complex data sets into actionable intelligence, supporting strategic initiatives and operational excellence across the organisation.
Key ResponsibilitiesLead the end-to-end development of scalable data analytics solutions, including data collection, processing, and visualisation.Collaborate cross-functionally with data scientists, business analysts, and software engineers to translate business requirements into technical specifications.Architect and implement robust data pipelines and analytics frameworks that ensure data quality, security, and accessibility.Drive innovation by exploring advanced analytics methodologies, machine learning algorithms, and emerging technologies relevant to the Data Analytics domain.Provide mentorship and guidance to junior engineers, fostering knowledge sharing and professional growth within the team.Conduct code reviews and uphold best practices in software development, ensuring maintainability and performance optimisation.Engage with key stakeholders to understand evolving business needs and deliver solutions that align with organisational goals.
Professional Qualifications and SkillsMinimum 5 years of experience in software engineering with a strong focus on data analytics.Proficiency in programming languages commonly used for data analytics, such as Python, R, or Java, and familiarity with SQL and NoSQL databases.Demonstrable expertise in data processing frameworks such as Apache Spark, Hadoop, or similar technologies.Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerisation tools (e.g., Docker, Kubernetes) is an advantage.Solid understanding of data warehousing concepts, ETL processes, and data visualisation tools (e.g., Tableau, Power BI).Strong analytical, problem-solving, and communication skills to interact effectively with diverse teams.Ability to manage multiple priorities and deliver high-quality outputs in a dynamic environment.Expereience working with full-stack software engineering technology is a bonus.
What We OfferAt ST Engineering, we are committed to fostering an inclusive and engaging workplace where innovation thrives and careers flourish. As part of our team, you will benefit from:Opportunities for continuous professional development and career advancement.Exposure to cutting-edge technologies and projects with global impact.A collaborative environment that values diversity, creativity, and forward thinking.A supportive work culture that encourages work-life balance and wellbeing.