Total 47 job vacancies by Cognizant Technology Solutions Asia Pacific Pte. Ltd.

Role: Senior / DeltaV Programmer - LSMG

Responsibilities

• Responsible for the design and delivery of DeltaV application system on site.
• Participate in the development and implementation of Automation solutions in line with S88 standards for the plant.
• Creates and maintains applications according to technical design and requirements.
• Develop and/or review System Development Life Cycle (SDLC) deliverables, compliant with the site’s standards. Determine the processes and data flow that supports the needs of the project.
• Design & Develop plan for modifications to be made to the system through working with team in development of systems architecture, specifications, controls strategies, sequence of operations through all stages.

Requirements

• Experience in a similar role, ideally in the Pharmaceutical and/or Biotechnology industry.
• Emerson DeltaV DCS system experience and DeltaV Batch experience required
• Experience in the Designing and commissioning of DeltaV DCS project for GMP manufacturing site.
• Technical proficiency on controls systems including familiarity with control panels, networking, panel/field wiring and PLC control systems.
• Through understanding of Batch s88 standards (CM, EM, Phases, Recipes, Units etc)
• Familiarity with GAMP lifecycle and quality management processes employed in the pharmaceutical sector
• Ability to work well in a team environment
• Supervise and conduct system testing Factory Acceptance Test (FAT)
• Excellent computer skills, proficient in the use of the following Microsoft tools: Excel, SharePoint, Word and PowerPoint.
• Excellent communication and customer orientation skills
• Good analytical & problem-solving skills
• Ensure project Automation Strategy is followed.

About Cognizant

Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.

We are are looking to hire a MES Systems Manager to join our MES team working at our client site, a pharmaceutical MNC. The selected candidate will be required to provide consultation and engineering service to the execution phase of the project. He/she will also be involved in the generation and ownership of IQ/OQ/PQ documentation and the GoLive Support.

Responsibilities

• Troubleshoot and provide solutions for MES & ERP problems in recipe execution and recipe authoring.
• Liaise with QA to provide approved change control documentation for all MES system changes.
• Design, create, write and execute to a high-quality standard, test and validation protocols, risk assessments, and system documentation.
• Design, create, write and/or make all required changes to MES & ERP Recipes, worksheets, equipment and material spec's including phase transition logic to a high-quality standard.
• Design, create, write and/or make all required changes to ensure cleaning, equipment and product procedures are aligned to MES processes and vice versa.
• Design, create, write and provide training for all other site personnel on their related MES roles and arrange system access.
• Participate in MES knowledge exchanges, MES Governance meetings and manage issues, work-around and fixes identified.
• Work closely with IT regarding upgrades, patching, hardware support, security and system access and provide technical expertise in implementing upgrades and patching.
• Liaise with Global MES on required system improvements.
• Provide support to other MES system users as required to ensure business continuity.
• Participate in MES projects from initiation to ensure MES system or hardware requirements are taken into consideration.
• Ensure maintenance/replacement of MES hardware, printers, scales, scanners and bar-code labelers. Review for upgrades periodically.
• Keep other MES Team Members up to date on MES changes Documentation of all activities in line with cGMP requirements.
• Cross training within the team and training of new team members.
• Participation in continuous improvement programs to implement improvements in the quality, safety, environmental and production systems.
• Adheres to and supports all health and safety standards, procedures and policies.

Requirements

• ASPEN product hands-on experience for full application configurations including interface with SAP and automation systems
• In-depth of knowledge of Pharmaceutical business process (Chemicals (W&D, Solid bulk Mfg., packaging and other unit operations), Bio Pharma processes)
• Creation of business process flow diagram & recipe is a MUST.
• Knowledge on Industry Standards S88 and ISA S95
• Experience working on projects in the pharmaceutical and/or biotechnology industries knowledge of GAMP lifecycle and quality management processes employed in the pharmaceutical sector Excellent communication skills and collaborative with team members and external groups

About Cognizant

Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.

We are seeking a Project Manager with extensive experience to join our team. The ideal candidate will have expertise in Project Planning Project Planing & Execution-Costs Project Scope Management Project Stakeholder Management and Project Tracking. Additionally experience in Product Lifecycle Management is mandatory.

Responsibilities

• Lead the planning and execution of projects to ensure timely delivery and within budget
• Oversee project costs and manage resources effectively to achieve project goals
• Provide clear project scope management to ensure all deliverables are met
• Engage with stakeholders to understand their needs and manage their expectations
• Track project progress and make necessary adjustments to keep the project on track
• Ensure all project documentation is up to date and accessible to relevant parties
• Coordinate with cross-functional teams to ensure seamless project execution
• Identify and mitigate risks to prevent project delays or failures
• Facilitate regular project meetings to keep all team members informed and aligned
• Monitor project performance and implement improvements as needed
• Ensure compliance with company policies and industry regulations
• Provide regular updates to senior management on project status and outcomes
• Foster a collaborative and productive team environment.

Requirements

• Must have extensive experience in Project Planning and Project PL & Execution-Costs with Government and/or Public Sector
• Should possess strong skills in Project Scope Management and Project Stakeholder Management
• Must be proficient in Project Tracking and have a keen eye for detail
• Experience in Product Lifecycle Management is essential
• Strong communication and interpersonal skills are required
• Ability to work in a hybrid model and adapt to changing project needs
• Proven track record of successfully managing complex projects from start to finish
• Strong problem-solving skills and the ability to make decisions under pressure
• Ability to lead and motivate a team to achieve project objectives
• Excellent organizational and time management skills
• Familiarity with project management tools and software
• Ability to work independently and as part of a team
• Commitment to continuous improvement and professional development.
• Able to start within short notice

Certifications Required

• PMP Certification or equivalent is required. Certification in Product Lifecycle Management is a plus.

Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.

We are seeking a highly motivated individuals skilled in DevOps to join us for some exciting projects. You’ll work with a multidisciplinary team of designers, developers and business experts to create solutions that exist in both digital and physical realms.
What to expect:
• Manage the development of the internal engineering productivity tools and environments. • Providing DevOps architecture implementation and operational support • Architecture and planning for cloud deployments (Private and Public cloud) • Be an innovative and hands-on DevOps engineer capable of looking at both the technology and strategy around the platform. • Future-proofing the technical environments and ensuring extremely high levels of automation, availability, scalability and resilience. • Manage the development of the internal engineering productivity tools and environments. • Manage processes, automation, best practices, documentation. • Development and operation of continuous integration and deployment pipelines. • Monitoring automation to effectively detect/predict/prevent issues in the environment and code base. • Ability to conduct research into software issues and products as required • Working with the latest tools and techniques • Hands-on coding and mentoring, usually in a pair programming environment • Working in highly collaborative teams and building quality environments. • Ability to effectively prioritize and execute tasks in a high-pressure, fast paced, global environment • Knowledge in lots of different open-source technologies and configurations.
How to Succeed: • Degree or Diploma in Computer Science/Engineering, Information Technology, Communications or other related disciplines. • Strong knowledge and experience in Devops automation, containerisation and orchestration using tools like Kubernetes, Terraform, Ansible and Docker • Strong scripting skills e.g. Python, Bash, JavaScript • Cloud computing deployment and management experience - AWS • Understand/practice Agile projects • Strong understanding of networking
Preferred: • Experience with highly scalable distributed systems • Breadth of knowledge - OS, networking, distributed computing, cloud computing

JOB DESCRIPTION

As a Data Scientist (Associate Consultant), you will use data science and Generative AI techniques to develop models and products that support a range of EDB divisions across investment promotion, industry development and corporate functions. You will have the opportunity to partner closely with key stakeholders to identify business challenges, translate requirements into technical solutions, and deliver AI and Machine Learning products that drive measurable outcomes.

Your roles and responsibilities include:

• Collaborating with business users to understand their key priorities and use cases; proposing and developing solutions using data science and/or Generative AI techniques to drive business value
• Researching emerging AI/data science techniques and identifying relevant ones for EDB to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation)
• Data wrangling & analysis - preprocessing, cleaning and feature engineering
• Supporting the daily operations and maintenance of deployed data science models and products, including Assistants on PAIR / AIBots
• Developing backend APIs and services to support AI model deployment and integration
• Building frontend interfaces and user experiences for AI-powered applications
• Documenting changes to existing products
• Reviewing and implementing fixes for reported security vulnerabilities;

JOB REQUIREMENTS

To perform this role, you must have/ be:

• Minimum of Bachelor’s Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI or related disciplines;
• Able to understand and apply a range of AI/ML  techniques for regression and classification
• Familiar with popular python packages ( e.g. pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy )
• Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG)
• Experience with context engineering techniques and prompt optimization strategies
• Proficient in git, SQL
• Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)

Bonus skillsets which will allow you to excel in this role include:

• Proficient in modern programming languages (e.g. typescript, C#)
• Experience in cloud platform and services preferably in AWS
• Experience in Docker/Kubernetes
• Experience with web frameworks and full-stack development, including backend frameworks (e.g. FastAPI, Flask, Express.js) and RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript)
• Experience with LLM frameworks (e.g. LangChain, LlamaIndex, Hugging Face Transformers)
• Knowledge of vector databases and embedding techniques (e.g. Pinecone, Chroma, FAISS)
• Understanding of AI agent frameworks and multi-agent systems
• Strong presentation skills and ability to explain technical concepts clearly to a non-technical audience
• Proficient in statistical software tools (e.g. R, SAS)

We are seeking an experienced ServiceNow Developer with strong expertise in App Engine development to join our team. This role combines hands-on development with technical leadership responsibilities, guiding junior developers whilst delivering complex ServiceNow solutions.

Key Responsibilities:

• Lead the development and implementation of custom applications using ServiceNow App Engine
• Provide technical mentorship and guidance to junior developers
• Design and develop complex workflows, business rules, and custom applications
• Establish coding standards and best practices for the development team
• Conduct code reviews and ensure quality of deliverables
• Troubleshoot complex technical issues and provide solutions
• Create technical documentation and knowledge base articles
• Participate in architecture discussions and solution design sessions

Required Qualifications:

• Minimum 7 years of ServiceNow development and implementation experience
• Minimum 3 years of hands-on experience with ServiceNow App Engine development
• Current ServiceNow certifications (e.g., Certified Application Developer, Certified Implementation Specialist)
• Experience in at least 2 large-scale ServiceNow implementations
• Strong expertise in JavaScript and ServiceNow scripting
• Proven track record of technical leadership and mentoring

Technical Skills:

• Advanced knowledge of ServiceNow App Engine Studio and App Engine Templates
• Expertise in ServiceNow scripting using JavaScript
• Strong understanding of ServiceNow platform capabilities and limitations
• Proficiency in: Business Rules
  Client Scripts
  UI Policies
  UI Actions
  Workflows
  Flow Designer
  Integration Hub
  Service Portal development
  
• Experience with source control and deployment tools
• Knowledge of REST/SOAP web services and APIs

Leadership Skills:

• Demonstrated ability to mentor and guide junior developers
• Experience in conducting technical training sessions
• Strong code review and quality assurance skills
• Ability to translate complex technical concepts to non-technical stakeholders
• Experience in estimating development effort and managing technical deliverables

Additional Requirements:

• Experience with Agile development methodologies
• Strong problem-solving and analytical skills
• Excellent written and verbal communication skills
• Ability to work independently and as part of a team
• Experience in creating technical documentation

Preferred Qualifications:

• Experience with multiple ServiceNow releases and platform upgrades
• Knowledge of ITIL processes and frameworks
• Experience with performance tuning and optimisation
• Background in implementing ServiceNow best practices and governance
• Additional technical certifications in relevant areas

JOB DESCRIPTION

As a Data Scientist (Associate Consultant), you will use data science and Generative AI techniques to develop models and products that support a range of EDB divisions across investment promotion, industry development and corporate functions. You will have the opportunity to partner closely with key stakeholders to identify business challenges, translate requirements into technical solutions, and deliver AI and Machine Learning products that drive measurable outcomes.

Your roles and responsibilities include:

• Collaborating with business users to understand their key priorities and use cases; proposing and developing solutions using data science and/or Generative AI techniques to drive business value
• Researching emerging AI/data science techniques and identifying relevant ones for EDB to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation)
• Data wrangling & analysis - preprocessing, cleaning and feature engineering
• Supporting the daily operations and maintenance of deployed data science models and products, including Assistants on PAIR / AIBots
• Developing backend APIs and services to support AI model deployment and integration
• Building frontend interfaces and user experiences for AI-powered applications
• Documenting changes to existing products
• Reviewing and implementing fixes for reported security vulnerabilities;

JOB REQUIREMENTS

To perform this role, you must have/ be:

• Minimum of Bachelor’s Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI or related disciplines;
• Able to understand and apply a range of AI/ML  techniques for regression and classification
• Familiar with popular python packages ( e.g. pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy )
• Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG)
• Experience with context engineering techniques and prompt optimization strategies
• Proficient in git, SQL
• Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)

Bonus skillsets which will allow you to excel in this role include:

• Proficient in modern programming languages (e.g. typescript, C#)
• Experience in cloud platform and services preferably in AWS
• Experience in Docker/Kubernetes
• Experience with web frameworks and full-stack development, including backend frameworks (e.g. FastAPI, Flask, Express.js) and RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript)
• Experience with LLM frameworks (e.g. LangChain, LlamaIndex, Hugging Face Transformers)
• Knowledge of vector databases and embedding techniques (e.g. Pinecone, Chroma, FAISS)
• Understanding of AI agent frameworks and multi-agent systems
• Strong presentation skills and ability to explain technical concepts clearly to a non-technical audience
• Proficient in statistical software tools (e.g. R, SAS)

Key Responsibilities

• Design, develop, test, and maintainscalable backend services using Node.js (NestJS) or Java (Spring Boot).
• Build responsive frontend applications using React.js / Next.js based onUI/UX designs.
• Design and manage relational and NoSQL databases (PostgreSQL, MySQL,DynamoDB).
• Integrate internal platforms with external systems including IoT data sourcesand third-party APIs.
• Implement CI/CD pipelines and support automated deployment across cloudplatforms.
• Deploy and support applications on AWS and Google Cloud Platform.
• Participate in Agile ceremonies, code reviews, and production support.

Job Requirements

• Degree or Diploma in Computer Science,Software Engineering, IT or related field.
• Minimum 3–5 years of hands-on software development experience.
• Strong experience in JavaScript / TypeScript.
• Experience with NodeJS (NestJS) or Java (Spring Boot).
• Proficient with React.js frontend development.
• Experience with REST APIs, databases, and ORM tools.
• Familiarity with cloud platforms (AWS / GCP) and Docker.

Preferred Skills

• Exposure to IoT platforms or real-time data processing.
• Experience with Firebase and serverless architecture.
• CI/CD, Jenkins, Kubernetes knowledge is an advantage.

We are seeking a dynamic and strategic Data Engineer to design, build, and scale enterprise-grade data platforms and pipelines for the GeBIZ X product.

You will play a key role in shaping the product’s data strategy, ensuring high standards in data architecture, performance, scalability, and governance. Beyond core data engineering, you will drive innovation in AI-enabled capabilities, leveraging data as a foundation to unlock insights, improve decision-making, and enhance user outcomes across the public service.

This role requires strong technical expertise, analytical thinking, and stakeholder engagement skills to collaborate across product, engineering, policy, and business teams to deliver impactful, data-driven solutions.

Decision-making

• When making important decisions, we identify overarching goals, weigh up our options, identify impact, and clearly communicate and manage the risks and trade-offs of our decision.

Ownership

• In addition to technical responsibilities, this means having opinions on what is being done and having ideas on what should be done next. Building something that you believe in is the best way to build something good.

Continuous Learning

• Working on new ideas often means not fully understanding what you are working on. Taking time to learn new architectures, frameworks, technologies, and even languages is not just encouraged but essential.

Our Team

Our team is made up of passionate individuals committed to solving challenges and driving meaningful change. We embrace diversity of thought, encourage experimentation, and foster a culture of continuous learning. As part of this team, you will collaborate with Business Owner, Product Director, Product Managers, UX Designers, Engineers and Business Users to execute the data strategy of GeBIZ X and deliver impactful product outcomes.

[What you will be working on]

Data Strategy, Engineering & Product Delivery

• Engage stakeholders to understand business challenges, refine use cases, and identify opportunities to harness data for product and policy decisions.
• Design, build, and maintain scalable data pipelines, data platforms, and reusable datasets to support analytics and product use cases.
• Develop data models and architectures to support complex business processes and reporting needs.
• Implement ETL/ELT processes to ingest, transform, and serve structured and unstructured data.
• Design and deliver analytics workflows, dashboards, and data products to enable insights and decision-making.
• Work iteratively with product teams to validate insights, refine analyses, and deliver measurable outcomes.

AI, Machine Learning & Advanced Analytics

• Develop and apply machine learning and Large Language Model (LLM)-based solutions, including prompt engineering and AI-enabled applications where relevant.
• Operationalise models through MLOps practices, including deployment, monitoring, and lifecycle management.
• Stay abreast of emerging trends in AI, data architectures, and optimisation techniques, and apply them to enhance product capabilities.
• Ensure responsible AI practices, including considerations for safety, fairness, and robustness.

Data Platforms, Integration & DataOps

• Design and implement moderately complex data systems and platforms, including supporting infrastructure and integrations.
• Apply advanced data integration techniques (e.g. streaming, Change Data Capture, message queues) to enable real-time and batch processing.
• Champion DataOps practices such as automated pipeline deployments, monitoring, and data observability.
• Ensure data quality, reliability, and integrity across systems and pipelines.
• Proactively manage and reduce technical debt to ensure long-term system stability.

Governance, Risk & Compliance

• Navigate data privacy, governance, and regulatory requirements, ensuring compliance with policies and standards.
• Identify risks in data systems and proactively address potential failure points.
• Align system design with security, performance, and compliance best practices across GovTech platforms.

Leadership, Collaboration & Delivery

• Own and deliver complex data engineering assignments across the full data lifecycle with minimal supervision.
• Break down complex problems into actionable tasks and coordinate delivery across teams.
• Drive high-quality, scalable delivery through engineering excellence and best practices.
• Mentor junior engineers and guide peers through code reviews, architecture discussions, and technical problem-solving.
• Collaborate effectively with Product Managers, Engineers, Designers, and Business stakeholders to deliver integrated solutions.

Strategic Alignment & Organisational Impact

• Contribute to team strategy, balancing short-term delivery with long-term platform sustainability.
• Evaluate new technologies and communicate trade-offs to technical and non-technical stakeholders.
• Participate in cross-team initiatives and align solutions with broader organisational goals.
• Contribute to GovTech communities, shaping best practices and promoting a culture of continuous learning and improvement.

[What we are looking for]

Experience & Education

• Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline.
• At least 5 years of experience in data engineering.
• Proven experience delivering data platforms or products in large-scale, enterprise environments.

Technical Skills

• Strong expertise in data modelling (OLTP, OLAP, dimensional modelling).
• Experience with cloud data platforms and tools (e.g. AWS, Azure Synapse/Microsoft Fabric, Snowflake, Databricks, Redshift, Data Lakes).
• Proficiency in big data technologies (e.g. Hadoop, Spark, Kafka, Flink).
• Strong programming skills in Python, Scala, or Java.
• Experience with CI/CD and DataOps practices (e.g. SHIP-HATS or equivalent).
• Expertise in data integration techniques (e.g. ETL/ELT, streaming, APIs).

AI & Machine Learning (Advantageous)

• Understanding of machine learning and LLM concepts, including prompt engineering and AI application development.
• Familiarity with MLOps practices and cloud-based ML deployment.
• Awareness of responsible AI principles (fairness, robustness, safety).

We are seeking an experienced ServiceNow Developer with strong expertise in App Engine development to join our team. This role combines hands-on development with technical leadership responsibilities, guiding junior developers whilst delivering complex ServiceNow solutions.

Key Responsibilities:

• Lead the development and implementation of custom applications using ServiceNow App Engine
• Provide technical mentorship and guidance to junior developers
• Design and develop complex workflows, business rules, and custom applications
• Establish coding standards and best practices for the development team
• Conduct code reviews and ensure quality of deliverables
• Troubleshoot complex technical issues and provide solutions
• Create technical documentation and knowledge base articles
• Participate in architecture discussions and solution design sessions

Required Qualifications:

• Minimum 7 years of ServiceNow development and implementation experience
• Minimum 3 years of hands-on experience with ServiceNow App Engine development
• Current ServiceNow certifications (e.g., Certified Application Developer, Certified Implementation Specialist)
• Experience in at least 2 large-scale ServiceNow implementations
• Strong expertise in JavaScript and ServiceNow scripting
• Proven track record of technical leadership and mentoring

Technical Skills:

• Advanced knowledge of ServiceNow App Engine Studio and App Engine Templates
• Expertise in ServiceNow scripting using JavaScript
• Strong understanding of ServiceNow platform capabilities and limitations
• Proficiency in:Business Rules
  Client Scripts
  UI Policies
  UI Actions
  Workflows
  Flow Designer
  Integration Hub
  Service Portal development
  
• Experience with source control and deployment tools
• Knowledge of REST/SOAP web services and APIs

Leadership Skills:

• Demonstrated ability to mentor and guide junior developers
• Experience in conducting technical training sessions
• Strong code review and quality assurance skills
• Ability to translate complex technical concepts to non-technical stakeholders
• Experience in estimating development effort and managing technical deliverables

Additional Requirements:

• Experience with Agile development methodologies
• Strong problem-solving and analytical skills
• Excellent written and verbal communication skills
• Ability to work independently and as part of a team
• Experience in creating technical documentation

Preferred Qualifications:

• Experience with multiple ServiceNow releases and platform upgrades
• Knowledge of ITIL processes and frameworks
• Experience with performance tuning and optimisation
• Background in implementing ServiceNow best practices and governance
• Additional technical certifications in relevant areas

Responsibility:

• Project & Product Planning: Develop and maintain detailed project plans, timelines, and milestone schedules in partnership with contracted vendors. Lead feature planning and prioritisation processes informed by user feedback analysis, business impact assessment, technical complexity evaluation, and regulatory compliance requirements. Transform high-level project objectives into executable action plans through effective task decomposition, prioritisation frameworks, and strategic contribution to overall project vision.
• Product Strategy & Performance: Collaborate with stakeholders and contractors to develop product roadmaps and success metrics, regularly monitoring performance against established benchmarks. Oversee project progress tracking and deliver comprehensive status reporting to senior leadership. Maintain centralised project documentation repositories and ensure knowledge management best practices.
• Problem Prioritisation & Impact Assessment: Evaluate and prioritise identified problems based on user impact severity, business value potential, technical feasibility, resource requirements, and strategic alignment.
• Agile Delivery: Facilitate daily scrum standups and agile ceremonies including sprint planning, reviews, and retrospectives. Partner with end users to establish Definition of Done criteria for sprint deliverables and milestone achievements. Continuously monitor technical debt accumulation and recommend roadmap adjustments to optimise solution reliability and performance.
• Technical Analysis & Risk Management: Conduct comprehensive gap analyses between vendor solutions and product requirements, identifying integration challenges, customisation needs, and potential technical debt implications. Proactively identify improvement opportunities and drive solution development by synthesising complex data including problem statements, user pain points, capability gaps, proposed solutions, operational workarounds, and service journey enhancements into actionable recommendations aligned with project goals.

Experience and Skills Needed:

• Bachelor's degree in Information Technology, Computer Science, Business Administration, Finance, or related field
• Certification in Agile Scrum Master, Product Management or equivalent recognised project and/or product management
• Minimum 7+ years of product management experience with Finance ERP platforms
• Minimum 1 cycle of Agile or hybrid Agile/Waterfall product implementation experience
• Experience with digital transformation initiatives, preferably in government or regulated environments
• High Proficiency in analysing business requirements and translating them into system functionality
• Excellent analytical and problem-solving skills
• Strong communication skills with the ability to interact with senior and junior stakeholders
• Have experience working in financial industries setting (e.g., Banking, Insurance) will be an advantage
• Certification in major finance ERP platforms (e.g., SAP, Oracle) will be an advantage

Summary of Role

Engagement Portfolio Lead, Singapore Public Sector, is a senior delivery role which ensures delivery excellence for the assigned programs, delivering with high customer satisfaction delivering pro.

The individual needs to have good experience managing large-scale complex projects from delivery timeline, quality, budget and customer satisfaction.

Role Responsibilities

• Owns & program manages large scale development/ implementation delivery from account perspective

• Specific responsibilities include:

o   Owns end-to-end delivery for delivery commitments to client from account perspective

o   Owns and decides multi-service line solutions involving final bid estimation and solution review

o   Develop and build sustainable delivery organization both at account/project levels

o   Owns delivery accountability for the project(s) and also drives delivery efficiencies

o   Manages ‘Cost of Delivery’ for clients, establishes budgets, success metrics and transformation roadmaps, engages client stakeholders for delivery reviews/issues

o   Co-owns, along with Engagement Delivery Partner: reporting requirements related to projects, P&L maintenance, revenue growth, NPS score, designing Profitability Enhancement Program and tracking, claiming change requests

o   Responsible for people management (direct reports of  project managers / Lead/ Solution Architects)

o   Involves in hiring decisions, finalizing appraisals and people development plans.

o   Responsible for overall motivation and morale of the resources in the account(s)

o   Support presales related activities for account delivery for Budgetary or Tenders .

Skills & Experience

• Proven delivery management experience with at least 15 years of experience managing large programs / multiple large-scale projects for large clients with complex and heterogeneous technology landscape, covering the full SDLC. With recent 5 years focusing on Singapore government sector.

• Strong experience in delivering projects using Agile Scrum/ Agile Safe methodologies.

• Experienced in Digital transformation journeys of the customer in technology areas including Data, Digital Engineering and Cloud.

• Strong understanding of Singapore Government delivery, include contracting, government platforms (GCC, GDC, GPC, SingPass etc)

• Degree in an IT related discipline. Requisite Certification.

• Ability to identify and drive issues to a quick resolution while balancing the needs of the business, the customer and the team;

• Proven record in team and organizational leadership skills working with senior management and individual contributors; extensive experience managing and mentoring collaborative cross-functional teams; ability to provide leadership and direction to project/ project(s) teams and the organization to ensure successful execution; consummate team player with a positive, flexible and creative approach.

• Demonstrate strong understanding of business, strategic direction, organizational structure and overall business goals in order to define and validate complete program requirements with business sponsors.

• Ability to understand and apply technical solutions to business requirements to meet goals.

• Able to speak clearly and persuasively in positive or negative situations and write clearly and effectively at a high level; excellent ability to communicate program vision and collaboratively align diverse organizations; must have strong presentation and group facilitation skills.

• Strong experience and understanding of upsell/ cross sell to grow footprint in the designated account(s).

• Strong understanding of technology trends and usage in business areas.

• Have prior experience supporting presales related activities

Supervisory/Influence:

• Strong client relationship and senior stakeholder management skill##

• Accountable to senior management in providing regular program / project(s) updates

• Has authority to make program/ project(s) related decisions
• Experience managing project manager(s), solution architects, Leads as direct reports
• Strong conflict management skill

People Interactions:

• Within own team or department at leadership / strategic level.

• Strong leadership with user/customer up to and including senior-level management.

• Contact with peers, commercial, service line leaders & support teams in the organization at regional/ global level.

Success metrics and goals:

• Schedule Adherence
• Cost of Delivery / Margin
• Delivery Performance
• Client Satisfaction
• Employee Engagement & Retention

Role Summary

We are seeking an experienced Business Analyst with strong banking / financial services domain knowledge and hands‑on experience using JIRA and Confluence. The role involves requirement gathering, documentation, stakeholder coordination, and supporting delivery across finance‑related initiatives.

Key Responsibilities

• Act as a Business Analyst supporting banking and financial services projects
• Gather, analyze, and document business and functional requirements
• Use JIRA for requirement tracking, user stories, backlog management, and defect tracking
• Use Confluence for documentation including BRDs, FRDs, process flows, and functional specifications
• Facilitate workshops and discussions with business, operations, and IT stakeholders
• Act as a bridge between business users and technology teams
• Support UAT activities, including test case preparation, execution, and defect coordination
• Ensure alignment with regulatory, audit, and compliance requirements
• Support go‑live, hypercare, and post‑implementation activities

Must‑Have Skills & Experience

• 5-8 years of experience as a Business Analyst
• Strong experience in Banking / Financial Services domain
• Hands‑on working experience with:JIRA (user stories, backlog, defect management)
• Confluence (requirement and functional documentation)

Strong experience in:

- Requirement gathering & analysis
- Functional documentation (BRD, FRD, user stories)
- Stakeholder management
- UAT coordination and support

• Experience working in Agile / Scrum and/or Waterfall environments
• Experience working on public sector / government projects is a plus

This role requires enterprise solution architect-level skills to assess current applications and supporting systems and articulate how ServiceNow can integrate with and/or modernize these applications. The ideal candidate will possess strong business acumen and the ability to clearly explain strategies for ServiceNow, supported by thorough technical and business understanding. The ideal candidate will have experience and deep technical expertise in the ServiceNow platform and multiple modules such as IT Service Management (ITSM), Customer Service Management (CSM), Integrated Risk Management (IRM), Strategic Portfolio Management (SPM), Source-to-pay. Candidate with experience with Public Sector Digital Services (PSDS) will be highly preferred.

Core Responsibilities

Strategic Leadership

• Spearhead the development of ServiceNow enterprise architecture vision and roadmap aligned with business objectives
• Drive innovation through emerging ServiceNow capabilities including Now Intelligence, Process Optimization, and Integration Hub
• Lead architectural decisions for complex, multi-workstream ServiceNow implementations
• Establish centre of excellence frameworks and governance models for sustainable platform growth
• Articulate the value of ServiceNow to C-Suite stakeholders

Solution Design & Implementation

• Architect end-to-end ServiceNow solutions incorporating best practices in security, scalability, and performance
• Design modern user experiences leveraging Next Experience UI, Mobile capabilities, and Virtual Agent
• Develop integration architectures using Integration Hub, Flow Designer, and API frameworks
• Implement AI-powered solutions using Now Assist, Natural Language Understanding, and Predictive Intelligence
• Leverage ServiceNow's Hyperautomation capabilities including RPA Hub, Process Optimization, and Integration Hub

Technical Leadership

• Guide implementation teams on architectural patterns, coding standards, and best practices
• Design scalable solutions using ServiceNow's Common Service Data Model (CSDM)
• Architect cross-platform solutions integrating ServiceNow with enterprise systems
• Establish technical governance frameworks and platform standards
• Lead technical discovery workshops and architecture review sessions

Innovation & Continuous Improvement

• Research and evaluate new ServiceNow features and capabilities
• Drive adoption of modern development practices including DevOps and Agile
• Mentor team members on ServiceNow best practices and emerging technologies
• Conduct regular architecture assessments and optimization reviews

Required Qualifications

Experience

• 7+ years of enterprise IT experience with 3+ years specifically in ServiceNow architecture
• Proven track record leading at least 3 large-scale ServiceNow implementations
• At least 2 major implementations after achieving CTA certification
• Experience architecting solutions across multiple ServiceNow products that includes Integrated Risk Management (a must), Customer Service Management, Strategic Portfolio Management (SPM), Public Sector Digital Services (PSDS)
• Experience working in hybrid global delivery setup with geographically distributed teams

Technical Expertise

• Deep understanding of ServiceNow platform architecture and capabilities

o Expert knowledge of: Now Platform App Engine

o Integration Hub and Flow Designer

o Service Graph CMDB

o Now Intelligence & AI capabilities

o Performance Analytics

o Next Experience UI Framework

• Strong scripting skills in JavaScript, AngularJS, and REST/SOAP web services
• Experience with modern integration patterns and technologies
• Experience with UI Builder and Service Portals

Certifications

• ServiceNow Certified Technical Architect (CTA)
• ServiceNow Certified Implementation Specialist (CIS) - Multiple products, that includes CIS-RC
• ServiceNow Certified System Administrator (CSA)
• Additional certifications in relevant ServiceNow products preferred

Education

• Bachelor's degree in Computer Science, Information Technology, or related field

Key Competencies

• Strategic thinking and business acumen
• Strong communication and stakeholder management
• Problem-solving and analytical skills
• Team leadership and mentoring

Role Description

• You are operating Global Data Platform components (VM Servers, Kubernetes, Kafka) and applications (Apache Stack, Collibra, Databricks and similar).
• Implement automation of infrastructure, security components, and Continuous Integration & Continuous Delivery (CI/CD) for optimal execution of data pipelines (ELT/ETL).
• Develop solutions to build resiliency in data pipelines that perform health checks, monitoring, and alerting mechanisms; quality, timeliness, recency, and accuracy of the data delivery are improved.
• Apply DevSecOps and Agile approaches to deliver a holistic and integrated solution in iterative increments.
• Liaison and collaborate with enterprise security, digital engineering, and cloud operations architecture solution frameworks to drive consensus on design.
• Review system issues, incidents, and alerts to identify root causes and continuously implement features to improve platform performance.
• Be current on the latest industry developments and technology trends to effectively lead and design new features and capabilities.

Experience

• You have 5+ years of experience in building or designing large‑scale, fault‑tolerant, distributed systems.
• Migration experience of storage technologies (e.g. HDFS to S3 Object Storage).
• Integration of streaming and file‑based data ingestion/consumption (Kafka, Control‑M, AWS).
• Experience in DevOps, data pipeline development, and automation using Jenkins, Ansible, Chef, XL Release, and XL Deploy.
• Experience predominantly with on‑prem Big Data architecture; cloud migration experience is welcome.
• Hands‑on experience integrating Data Science Workbench platforms (e.g. Datiku).
• Experience with Agile project management methods (e.g. Scrum, SAFe).
• Supporting analytical value streams from enterprise reporting (e.g. Tableau) to data science (incl. ML Ops).

Skills

• Hands‑on working knowledge of large data solutions (e.g. data lakes, delta lakes, data meshes, data lakehouses, data platforms, data streaming solutions).
• In‑depth knowledge and experience in one or more large‑scale distributed technologies, including but not limited to:
• Hadoop ecosystem
• Kafka
• Kubernetes
• Spark
• Expert in Python and Java or another programming language (Scala/R, Linux/Unix scripting).
• VM setup and scaling (K8s scaling, managing Docker with Harbor, pushing images through CI/CD).
• Experience using data formats such as Apache Parquet, ORC, Avro.
• Exposure to machine learning algorithms is a plus.
• Good knowledge of German is beneficial; excellent command of English is essential.
• Knowledge of the financial sector and its products.