Total 3,918 job vacancies in Singapore

We are looking for an ambitious Marketing Executive to help us increase our clients‘ Brand awareness and Customer base through the promotion of their products and services at our event sites in Singapore.

As a member of our Marketing team, you will have room to advance your career. Our employees receive 1-on-1 coaching/mentorship, continuous training and assistance, travel opportunities, leadership opportunities to coach newcomers and fast tracked career progression/growth.

Responsibilities

- Participate and ensure the successful execution of our events marketing campaigns

- Promote our products or services to existing and potential customers

- Work with the rest of the Marketing team to develop promotion strategies and oversee their implementation

Requirements

- Background in Sales, Marketing, or similar roles is a plus

- Open minded and willingness to learn

- Good communication and presentation skills is a plus

Accelerate Your Career in Business Development & Marketing

Join Royal Organisation – a rapidly growing firm representing leading brands and delivering measurable results across diverse markets.

Position Overview

We are seeking motivated and driven individuals to join our Business Development & Marketing team. In this role, you will represent well-established brands, engage with clients directly, and play a key part in executing impactful campaigns and initiatives.

Key Responsibilities

• Identify and engage new clients while managing their end-to-end journey
• Build and maintain strong relationships through direct, face-to-face engagement
• Support the planning and execution of marketing campaigns and events
• Provide leadership and guidance to team members to achieve collective goals

What We Offer

• Regional and international exposure through various projects
• Structured mentorship and clear career advancement pathways
• Recognition and rewards based on performance
• Opportunities for leadership and personal development

Ideal Candidate Profile

• Self-driven, professional, and goal-oriented
• Excellent interpersonal and communication skills
• Passionate about working with people and building meaningful connections

Job Responsibilities:

• Analyse, correlate, interpret and visualise data to uncover trends and patterns.
• Formulate and test threat hunting hypothesis.
• Produce insights and supporting evidence to support decision making.
• Compile and share intel with counterparts for prompt intervention actions.
• Translate concepts and results into reports and presentation for senior stakeholders

Job Requirements:

• Degree in Computer Science / Computer Engineering / Mathematics / Statistics / Data Science and Analytics or equivalent.
• Knowledge of cybersecurity concepts and applications. Candidates with relevant cybersecurity certifications are preferred.
• At least 5 year of experience in data transformation, interpretation, and quantitative data analysis.
• Knowledge of statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with their application is preferred.
• Experience in using databases and frameworks for big data analytics such as Hadoop / Hive / Spark, and able to write complex SQL queries.
• Domain knowledge and experience in Computer Networking, Network Security, or System Security is preferred.
• Good writing, communication and presentation skills.
• Fast learner with self-motivation and independence to acquire knowledge on new domains or technologies quickly.

To Apply, please kindly email your updated resume to weizhe.teoh@tg-hr.com

Regret to inform that only shortlisted candidates will be notified.

CEI: R25127749

EA License: 14C7275

⏰ Working Arrangement: 6 days' work week

Job Overview

We are seeking a skilled and motivated Data/AI Compliance Analyst to join our team. This is a dual-role position that combines data analysis, AI compliance coordination, and AI audit support.

The role will support both data-driven business improvement and the governance, tracking, and follow-up of AI compliance and audit-related actions across internal products and initiatives. The successful candidate will work closely with cross-functional teams to analyse data, improve reporting and operational visibility, and help ensure that AI-related systems, processes, and use cases are properly documented, monitored, and aligned with internal governance, compliance, and audit requirements.

As a Data/AI Compliance Analyst, you will bridge the gap between data, operations, business processes, and AI governance, helping the organisation turn information into actionable insight while strengthening accountability, control, and follow-through on AI risk and compliance matters.

Key Responsibilities

A. Data Analyst Responsibilities

• Analyse business processes and identify opportunities for optimisation through data-driven insights and reporting.

• Collaborate with stakeholders to define key performance indicators (KPIs), business goals, and reporting requirements.

• Conduct data analysis to derive actionable insights that support business decisions, operational improvements, and management reporting.

• Identify, analyse, and interpret trends or patterns in data sets related to business performance, operational issues, system performance, and user behaviour.

• Clean, transform, validate, and maintain data to ensure accuracy and consistency across reporting and analysis.

• Design and maintain dashboards, reports, and visualisations using BI tools such as Power BI and Tableau.

• Support exploratory data analysis to uncover insights and improve understanding of business and system performance.

• Work with product, development, and business teams to improve reporting structures, data visibility, and analytics processes.

• Prepare clear presentations, reports, and summaries of findings for technical and non-technical stakeholders.

• Participate in system and process improvement discussions to ensure alignment between analytics needs and business objectives.

B. Compliance Analyst Responsibilities

• Support the development and maintenance of registers, logs, and documentation related to AI use cases, risks, incidents, controls, and action items.

• Track and follow up on AI compliance, audit, and governance action items, ensuring owners are identified, timelines are monitored, and findings are closed in a timely manner.

• Support internal reviews, governance checks, and audit preparation for AI-related initiatives, including gathering evidence and maintaining organised supporting documentation and audit trails.

• Assist in monitoring adherence to AI governance frameworks, internal policies, and relevant standards or control requirements.

• Work with product, development, and business teams to ensure that AI solutions are supported by required documentation, testing records, issue tracking, and control evidence.

• Help identify compliance gaps, process weaknesses, and control improvement opportunities related to AI systems, workflows, and data handling practices.

• Support the preparation of compliance updates, audit status reports, management summaries, and governance materials.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Analytics, Statistics, or a related discipline.

• Proven experience in data analysis, reporting, business systems analysis, or business intelligence.

• Strong understanding of business processes, reporting structures, and how data supports decision-making.

• Proficiency in tools such as Excel, SQL, Power BI, Tableau, Python, or similar analytics and reporting platforms.

• Experience in data wrangling, dashboard development, visualisation, and reporting.

• Strong analytical and problem-solving skills with attention to detail.

• Good written and verbal communication skills, with the ability to present findings clearly to both technical and non-technical stakeholders, and to prepare compliance updates, summaries, and status reports.

• Experience in maintaining trackers, registers, logs, action lists, and documentation for compliance or audit purposes.

• Strong organisational skills with the ability to manage multiple follow-ups, monitor action items, and ensure closure.

• Ability to work across teams to coordinate updates, gather evidence, and support governance and audit requirements.

• Proactive, disciplined, and able to drive accountability and follow-through across stakeholders.

• Exposure to AI compliance, AI governance, AI risk management, or AI audit practices will be an advantage.

• Experience in compliance tracking, audit coordination, governance support, risk tracking, or control documentation will be an advantage.

Job Overview

We are seeking a skilled and motivated Data/AI Compliance Analyst to join our team. This is a dual-role position that combines data analysis, AI compliance coordination, and AI audit support.

The role will support both data-driven business improvement and the governance, tracking, and follow-up of AI compliance and audit-related actions across internal products and initiatives. The successful candidate will work closely with cross-functional teams to analyse data, improve reporting and operational visibility, and help ensure that AI-related systems, processes, and use cases are properly documented, monitored, and aligned with internal governance, compliance, and audit requirements.

As a Data/AI Compliance Analyst, you will bridge the gap between data, operations, business processes, and AI governance, helping the organisation turn information into actionable insight while strengthening accountability, control, and follow-through on AI risk and compliance matters.

Key Responsibilities

A. Data Analyst Responsibilities

• Analyse business processes and identify opportunities for optimisation through data-driven insights and reporting.

• Collaborate with stakeholders to define key performance indicators (KPIs), business goals, and reporting requirements.

• Conduct data analysis to derive actionable insights that support business decisions, operational improvements, and management reporting.

• Identify, analyse, and interpret trends or patterns in data sets related to business performance, operational issues, system performance, and user behaviour.

• Clean, transform, validate, and maintain data to ensure accuracy and consistency across reporting and analysis.

• Design and maintain dashboards, reports, and visualisations using BI tools such as Power BI and Tableau.

• Support exploratory data analysis to uncover insights and improve understanding of business and system performance.

• Work with product, development, and business teams to improve reporting structures, data visibility, and analytics processes.

• Prepare clear presentations, reports, and summaries of findings for technical and non-technical stakeholders.

• Participate in system and process improvement discussions to ensure alignment between analytics needs and business objectives.

B. Compliance Analyst Responsibilities

• Support the development and maintenance of registers, logs, and documentation related to AI use cases, risks, incidents, controls, and action items.

• Track and follow up on AI compliance, audit, and governance action items, ensuring owners are identified, timelines are monitored, and findings are closed in a timely manner.

• Support internal reviews, governance checks, and audit preparation for AI-related initiatives, including gathering evidence and maintaining organised supporting documentation and audit trails.

• Assist in monitoring adherence to AI governance frameworks, internal policies, and relevant standards or control requirements.

• Work with product, development, and business teams to ensure that AI solutions are supported by required documentation, testing records, issue tracking, and control evidence.

• Help identify compliance gaps, process weaknesses, and control improvement opportunities related to AI systems, workflows, and data handling practices.

• Support the preparation of compliance updates, audit status reports, management summaries, and governance materials.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Analytics, Statistics, or a related discipline.

• Proven experience in data analysis, reporting, business systems analysis, or business intelligence.

• Strong understanding of business processes, reporting structures, and how data supports decision-making.

• Proficiency in tools such as Excel, SQL, Power BI, Tableau, Python, or similar analytics and reporting platforms.

• Experience in data wrangling, dashboard development, visualisation, and reporting.

• Strong analytical and problem-solving skills with attention to detail.

• Good written and verbal communication skills, with the ability to present findings clearly to both technical and non-technical stakeholders, and to prepare compliance updates, summaries, and status reports.

• Experience in maintaining trackers, registers, logs, action lists, and documentation for compliance or audit purposes.

• Strong organisational skills with the ability to manage multiple follow-ups, monitor action items, and ensure closure.

• Ability to work across teams to coordinate updates, gather evidence, and support governance and audit requirements.

• Proactive, disciplined, and able to drive accountability and follow-through across stakeholders.

• Exposure to AI compliance, AI governance, AI risk management, or AI audit practices will be an advantage.

• Experience in compliance tracking, audit coordination, governance support, risk tracking, or control documentation will be an advantage.

Required Skills & Qualifications

• Bachelor’s or master’s degree in operations research, Computer Science, Data Science, or a related quantitative discipline, with a strong foundation in optimization, simulation, and algorithmic problem‑solving.
• Minimum of 3 years of hands‑on experience in 3D modelling and simulation using platforms such as NVIDIA Omniverse or equivalent tools.
• Strong proficiency in Python, R, SQL, and modern data engineering practices.
• Practical experience with machine learning frameworks such as TensorFlow and PyTorch, as well as simulation and modeling tools.
• Solid understanding of semiconductor manufacturing processes and fab operations.
• Familiarity with IoT data pipelines, MES systems, and cloud platforms such as AWS and Azure.

Key Responsibilities

• Collaborate with a global, cross‑functional team of data scientists, data engineers, solution architects, external partners, and stakeholders from construction, facilities, and planning teams to develop highly accurate digital twins of semiconductor fabs.
• Enable advanced digital twin capabilities, including photorealistic visualization and physics‑based simulation, to support planning and operational decision‑making.
• Design, build, and maintain data‑driven models that represent semiconductor fab processes,equipment behavior, and sub‑fab utility systems.
• Integrate IoT sensor data, Manufacturing Execution System (MES) data, and facility data into the digital twin platform to ensure real‑time and historical insight.
• Develop predictive analytics and machine learning models for predictive maintenance, throughput optimization, energy efficiency, and yield improvement.
• Apply statistical and ML techniques to forecast equipment failures, cycle time variability, and potential yield impacts.
• Leverage simulation tools such as NVIDIA Omniverse to conduct what‑if analysis for layout planning, capacity expansion, and process optimization.
• Optimize fab workflows to improve cost efficiency, energy consumption, and overall productivity.
• Design and deliver dashboards for real‑time monitoring of key fab KPIs, including OEE, WIP, and energy usage.
• Partner with engineering teams to visualize fab layouts, system states, and operational scenarios within immersive 3D environments.
• Support and contribute to cross‑functional initiatives related to AI, automation, Industry 4.0, and smart manufacturing solutions.

To Apply:

Interested applicants please send your resume in MS Words format to pooja.yadav@ambition.com.sg and attention to Pooja (R1551322)

Short listed candidates will be notified

www.ambition.com.sg

EA Registration Number: R1551322

Data provided is for recruitment purposes only

Business Registration Number: 200611680D.

License Number: 10C5117

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Situated in the heart of Singapore's Central Business District, Rakuten Asia Pte. Ltd. is Rakuten's Asia Regional headquarters. Established in August 2012 as part of Rakuten's global expansion strategy, Rakuten Asia comprises various businesses that provide essential value-added services to Rakuten's global ecosystem. Through advertisement product development, product strategy, and data management, among others, Rakuten Asia is strengthening Rakuten Group's core competencies to take the lead in an increasingly digitalized world.

Department Overview

The Data Lake house Section provides the foundation for Rakuten Digital Twin strategy enabling seamless, real-time understanding of customers across services. 
We manage one of the world's largest first-party datasets, developing and operating products like Customer DNA (CDNA) and Deep CDNA, which unify data across business units. 

As a Senior Data Engineer, you will play a key role in the architecture, development, and optimization of Rakuten's core data platform. 
You will lead engineering efforts to design scalable, reliable, and secure data pipelines and collaborate closely with global teams in Japan and India.

Responsibilities:

- Lead the design, development, and operation of scalable and reliable data pipelines supporting Customer DNA and related data products.
   
- Drive best practices in data engineering, including performance tuning, automation, and observability.
   
- Collaborate with product managers, data scientists, and analytics engineers to deliver end-to-end solutions.
   
- Oversee data ingestion, transformation, and quality control processes to ensure trusted data availability.
   
- Design and optimize data architectures leveraging Google Cloud Platform(GCP) services (e.g., Big Query, Dataflow, Pub/Sub, Cloud Storage).
   
- Mentor team members, promote engineering excellence, and contribute to a culture of learning and collaboration.
   
- Ensure compliance with data governance, security, and privacy standards across systems.
   
Qualifications:

- 5+ years of experience building and operating big data platforms for analytics or business operations.
   
- 2+ years of experience managing large-scale, real-time or unstructured datasystems in distributed environments.
   
- Proficiency in Python programming and related libraries (e.g., Pandas, NumPy, PySpark, Pydantic).
   
- Strong hands-on experience with Google Cloud Platform (GCP), including Big Query, Cloud Storage, Cloud Functions, Dataflow, Pub/Sub, and IAM.
   
- Experience with Infrastructure-as-Code (IaC), CI/CD pipelines, and cloud resource management.
   
- Experience with **containerization (Docker)** and **orchestration (Kubernetes)** in cloud-native environments.
   
- Strong understanding of **SQL and NoSQL** data stores, with experience inlarge-scale distributed systems.
   
- Proven ability to identify and solve complex data engineering challenges, ensuring system reliability and scalability.
   
- Excellent communication and leadership skills, with experience guidingcross-functional or remote teams.
   
- Business-level proficiency in English.

- Proficiency in Japanese will be an advantage, as the role involves communication with Japanese-speaking stakeholders.

Good to have:

- Experience designing Python-based data engineering frameworks ensuring scalability, performance, and maintainability.
   
- Experience developing and maintaining reusable Python packages and libraries for data pipelines.
   
- Familiarity with API-based data integration and micro service architectures.
   
- Experience implementing cloud-native data solutions to optimize cost and performance.
   
- Proven ability to balance hands-on technical contribution with strategic leadership.
   
- Ability to mentor engineers and promote best practices in software craftsmanship.
   
Rakuten is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief, or age.
   

Experience: 6+ years experience in large dataplatform and large‑scale datamigration in Cloudera ADF & Databricks

KeyResponsibilities (R&R)

• Own end‑to‑end historical data migration from Cloudera (Hive/HDFS) and legacy systems
• Design and execute one‑off bulk history migration
• Design daily incremental loads via ADF, fully metadata‑driven
• Implement migration using customer ingestion framework or custom framework
• Design restartable, idempotent migration pipelines
• Build reconciliation reports (counts, checksums, balances)
• Develop automated testing packs for HDM (history data migration)
• Handle schema drift, data quality issues, and legacy anomalies
• Support parallel run, cutover, and business sign‑off
• Act as migration SPOC across platform, ingestion, and business teams

MandatorySkills (Must‑Have)

• Azure Data Factory (ADF) – metadata‑driven pipelines
• Basic Cloudera working knowledge
• Cloudera → Cloud migration (mandatory)
• Large‑volume historical data migration
• Azure Databricks (Spark / SQL)
• Data reconciliation and audit sign‑off
• Framework‑based data ingestion / migration

Good‑to‑Have

• Azure Data Box–based migration experience
• Bulk history extraction using Data Box
• Landing data into ADLS Gen2
• Processing history in Databricks (Delta)
• Orchestrating incrementals via ADF

The Data Center Facilities Engineer is a primarily administrative and coordination‑focused role supporting both local and data center operations. This position acts as an on‑site coordination point between operations stakeholders, facilities teams and network resolver teams, to ensure activities are executed smoothly, accurately tracked, and fully documented during live operations.

While the role is not a primary break‑fix position, it requires both basic DC operations and networking knowledge to support coordination, validation, and observation of general DC and network‑related activities. Hands‑on interaction with network equipment is expected at a foundational level.

Key Responsibilities:

Operations Coordination & Administration

• Coordinate with network, facilities, and other resolver teams during incidents, maintenance, and change activities.
• Track and monitor operational activities to ensure tasks are executed according to approved procedures.
• Maintain accurate and timely operational records, including:
• Incident and service request logs, Change and maintenance records, Shift handover documentation, Escalation and resolution updates
• Provide clear status updates and facilitate escalations during ongoing operations.
• Respond and deal with emergency events in daily operation.

Facilities & Environment Monitoring

• Monitor data center facilities systems including power, cooling, temperature, humidity, and alarms via the Building Management System (BMS).
• Acknowledge, log, and coordinate responses to routine facilities and environmental alerts.
• Support emergency events by coordinating response teams, documenting actions, and ensuring follow‑up activities are completed.

Network Resident Technician Support

• Provide basic network support assistance such as:
• Visual inspection of network equipment and indicators, Verifying port labels, cabling connections, and link status, Supporting guided reboots or checks under instruction from resolver teams
• Act as an on‑site liaison for remote network engineers, ensuring work is correctly executed and documented.
• Support rack‑and‑stack activities for network equipment under approved procedures.

On‑Site Access & Compliance

• Escort and supervise vendors, visitors, and technicians working within the data center.
• Witness and document work performed on facilities and network equipment.
• Ensure compliance with safety standards, regulatory requirements, and company policies.
• Support physical security processes including access control, key management, and visitor logging.

Record Keeping & Asset Management

• Maintain and update operational, maintenance, inventory, and asset records.
• Support inventory tracking for facilities and network equipment (e.g., DCIM or asset tools).
• Ensure documentation accuracy to support audits and operational reviews.

Other Bank Compliance

• Ensure adherence to bank compliance that will be provided as part of the training.

 Required Qualifications

• Minimum 1 year experience in data center operations, facilities support, or resident technician roles.
• Diploma or Degree in Electrical Engineering, Mechanical Engineering, IT, Computer Science, Networking, or a related field.
• Strong administrative and coordination skills, with experience managing tickets, records, and operational documentation.
• Basic networking knowledge, including:
• Understanding of network devices (switches, routers, firewalls), Structured cabling concepts and patching, Rack layouts and port identification
• Familiarity with data center environments, including power, cooling, fire protection, temperature, and humidity control.
• Proficient in Microsoft Office (Excel, Word, PowerPoint).
• Good command of English for operational communication and documentation.
• Willingness to work rotating shifts, including weekends and public holidays.

Good‑to‑Have / Advantageous Skills

• Hands‑on experience with network equipment installation, replacement, or troubleshooting.
• Experience with rack & stack for network devices.
• Exposure to structured cabling standards and labeling practices.
• Experience with DCIM or inventory tools (e.g., Nlyte).
• Familiarity with physical security operations in a data center environment.
• Local language proficiency is an advantage.

 Working Environment:

• There are 3 Shifts:

• Morning shift (M-F): 7:00AM to 4:00PM, Afternoon shift (M-F): 12:00NN to 9:00PM, Weekend Shift (Sat & Sun): 9:00AM to 6:00PM

  (Overtime is compensated)

Job Overview

We are seeking a skilled and motivated Data/AI Compliance Analyst to join our team. This is a dual-role position that combines data analysis, AI compliance coordination, and AI audit support.

The role will support both data-driven business improvement and the governance, tracking, and follow-up of AI compliance and audit-related actions across internal products and initiatives. The successful candidate will work closely with cross-functional teams to analyse data, improve reporting and operational visibility, and help ensure that AI-related systems, processes, and use cases are properly documented, monitored, and aligned with internal governance, compliance, and audit requirements.

As a Data/AI Compliance Analyst, you will bridge the gap between data, operations, business processes, and AI governance, helping the organisation turn information into actionable insight while strengthening accountability, control, and follow-through on AI risk and compliance matters.

Key Responsibilities

A. Data Analyst Responsibilities

• Analyse business processes and identify opportunities for optimisation through data-driven insights and reporting.

• Collaborate with stakeholders to define key performance indicators (KPIs), business goals, and reporting requirements.

• Conduct data analysis to derive actionable insights that support business decisions, operational improvements, and management reporting.

• Identify, analyse, and interpret trends or patterns in data sets related to business performance, operational issues, system performance, and user behaviour.

• Clean, transform, validate, and maintain data to ensure accuracy and consistency across reporting and analysis.

• Design and maintain dashboards, reports, and visualisations using BI tools such as Power BI and Tableau.

• Support exploratory data analysis to uncover insights and improve understanding of business and system performance.

• Work with product, development, and business teams to improve reporting structures, data visibility, and analytics processes.

• Prepare clear presentations, reports, and summaries of findings for technical and non-technical stakeholders.

• Participate in system and process improvement discussions to ensure alignment between analytics needs and business objectives.

B. Compliance Analyst Responsibilities

• Support the development and maintenance of registers, logs, and documentation related to AI use cases, risks, incidents, controls, and action items.

• Track and follow up on AI compliance, audit, and governance action items, ensuring owners are identified, timelines are monitored, and findings are closed in a timely manner.

• Support internal reviews, governance checks, and audit preparation for AI-related initiatives, including gathering evidence and maintaining organised supporting documentation and audit trails.

• Assist in monitoring adherence to AI governance frameworks, internal policies, and relevant standards or control requirements.

• Work with product, development, and business teams to ensure that AI solutions are supported by required documentation, testing records, issue tracking, and control evidence.

• Help identify compliance gaps, process weaknesses, and control improvement opportunities related to AI systems, workflows, and data handling practices.

• Support the preparation of compliance updates, audit status reports, management summaries, and governance materials.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Analytics, Statistics, or a related discipline.

• Proven experience in data analysis, reporting, business systems analysis, or business intelligence.

• Strong understanding of business processes, reporting structures, and how data supports decision-making.

• Proficiency in tools such as Excel, SQL, Power BI, Tableau, Python, or similar analytics and reporting platforms.

• Experience in data wrangling, dashboard development, visualisation, and reporting.

• Strong analytical and problem-solving skills with attention to detail.

• Good written and verbal communication skills, with the ability to present findings clearly to both technical and non-technical stakeholders, and to prepare compliance updates, summaries, and status reports.

• Experience in maintaining trackers, registers, logs, action lists, and documentation for compliance or audit purposes.

• Strong organisational skills with the ability to manage multiple follow-ups, monitor action items, and ensure closure.

• Ability to work across teams to coordinate updates, gather evidence, and support governance and audit requirements.

• Proactive, disciplined, and able to drive accountability and follow-through across stakeholders.

• Exposure to AI compliance, AI governance, AI risk management, or AI audit practices will be an advantage.

• Experience in compliance tracking, audit coordination, governance support, risk tracking, or control documentation will be an advantage.