Total 244 Manager data entry job vacancies

Primary Objective / Purpose
To drive the deep scientific understanding and advanced statistical analysis underlying production processes.

Key Responsibilities
• Lead advanced process characterization studies.

• Utilize data science and statistical analysis for process optimization.

• Drive the statistical evaluation of PPQ batches.

• Engineer mathematical process models and predictive analytics tools.

• Provide scientific rationale for regulatory process validation.

Key Deliverables
• Process characterization reports

• Statistical process control models

• Process validation strategies

Required Skills & Qualifications
• Master’s or Ph.D. in Bio/Chemical Engineering or Life Sciences.

• Advanced scientific troubleshooting and root cause analysis skills.

• Proficiency in statistical modeling and DoE.

• Hands-on laboratory scale-down model experience.

Regional IT & Cybersecurity Senior Manager (Data Centres)

We are seeking a seasoned Regional IT & Cybersecurity Senior Manager to lead the design, implementation, and governance of IT infrastructure and cybersecurity strategy across a portfolio of data centre operations in APAC. This role will be critical in ensuring secure, resilient, and compliant environments supporting mission-critical infrastructure and customer workloads.

You will partner closely with operations, engineering, and commercial teams to embed security-by-design principles while maintaining high availability and regulatory compliance across multiple jurisdictions.

Key Responsibilities

1.     Regional IT Infrastructure Leadership

• Own and manage IT infrastructure across multiple data centre sites (network, systems, storage, access control systems).
• Ensure high availability (99.99%+) of IT systems supporting DC operations.
• Drive standardisation and scalability of IT architecture across the region.
• Oversee vendor management, SLAs, and technology lifecycle planning.

2.     Cybersecurity Strategy & Execution

• Define and implement a regional cybersecurity framework aligned with global standards (ISO 27001, NIST, CIS).
• Lead threat detection, incident response, and vulnerability management programs.
• Establish Security Operations (SecOps) capabilities including SOC integration (in-house or outsourced).
• Conduct regular penetration testing, audits, and risk assessments.

3.     Governance, Risk & Compliance (GRC)

• Ensure compliance with regional regulatory requirements (e.g., MAS TRM, PDPA, GDPR where applicable).
• Lead internal and external audits, certifications (ISO 27001, SOC 2).
• Maintain risk registers and implement mitigation strategies across all sites.
• Develop and enforce IT and cybersecurity policies, standards, and procedures.

4. Data Centre Security Integration

• Collaborate with facilities and engineering teams to integrate physical and logical security.
• Oversee systems such as access control, CCTV integration, and DCIM security layers.
• Ensure secure customer onboarding, cross-connects, and remote hands operations.

5.   Incident Management & Resilience

• Lead regional incident response and crisis management for IT/security events.
• Develop and test disaster recovery (DR) and business continuity (BCP) plans.
• Drive post-incident reviews and continuous improvement initiatives.

6. Stakeholder & Leadership Engagement

• Act as a trusted advisor to senior leadership on cybersecurity risks and investments.
• Engage with enterprise customers on security requirements and audits.
• Lead and develop a regional team across multiple countries.

Key Requirements

Experience

• 12–18+ years in IT infrastructure and cybersecurity, with at least 5+ years in leadership roles.
• Proven experience in data centres, cloud, hyperscale, or mission-critical environments.
• Strong exposure to multi-country/regional operations (APAC preferred).
• Experience managing security in high-availability, regulated environments.

Technical Expertise

• Deep knowledge of: Network security (firewalls, IDS/IPS, segmentation)
• Cloud security (AWS, Azure, GCP)
• Identity & Access Management (IAM, PAM) Endpoint and infrastructure security
• Familiarity with DC technologies: DCIM, BMS integration, structured cabling, and OT security is a plus.

Certifications (Preferred)

• CISSP, CISM, CISA, or equivalent
• ISO 27001 Lead Implementer/Auditor
• Cloud security certifications (CCSP, AWS Security Specialty)

Leadership & Competencies

• Strong strategic thinking with hands-on execution capability.
• Proven ability to operate in high-pressure, 24/7 environments.
• Excellent stakeholder management across technical and non-technical audiences.
• Track record of building and leading high-performing regional teams.

Location

• Singapore (Regional HQ) with oversight across APAC
• Travel: ~20–30% regional travel

What Success Looks Like

• Zero major security breaches with robust proactive controls.
• Successful completion of audits and certifications across all sites.
• Standardised, scalable IT and security architecture across the region.
• High customer trust and satisfaction in security posture.

If you are a good match for the role above, please reach out to Ritu Chaudhari for a confidential chat today at ritu@access-people.com
UEN: 201304702D   |   EAs:14S7084 / R1109143

Join a well-established A1 main contractor known for delivering landmark building and infrastructure developments. With a growing pipeline, they are seeking a Technical Manager (C&S) to play a key role in driving major projects during this expansion phase, including data centre and new LTA projects. Multiple opportunities are available across diverse developments in Singapore.

What you will do

• Lead and guide a team of engineers/coordinators to ensure effective delivery of design outputs.
• Manage and oversee design and planning activities to meet project objectives within budget and timeline.
• Liaise with clients, consultants, and authorities on design matters, including submissions and approvals.
• Coordinate closely with internal teams to ensure alignment across functions and project requirements.
• Monitor design progress, manage schedules, and review technical drawings and deliverables.
• Provide technical expertise in civil and structural design coordination, and ensure compliance with regulatory and workplace safety standards..

What you will need

• Bachelor’s Degree in Civil Engineering from a PE Board recognized university
• Minimum 8 years of relevant C&S design & coordination experience with large scale projects
• Candidates who possess experience with data centre projects are highly desirable, though not mandatory
• Must possess minimally industrial building experience, such as Semicon plants, Oil & Gas plants or Hospital projects etc.

Location: Central

Interested candidates kindly forward your CV to yiling.tan@peoplesearch.jobs (Tan Yi Ling, Reg No: R21103172). You may email this great opportunity to someone who would be a great fit for this role.

All information will be kept strictly confidential. We regret to inform that only successful applicants will be contacted.

PeopleSearch Pte Ltd

EA License No: 16S8057

Objectives of this position:

To support the successful delivery of the Data Transparency program, a strategic digital transformation initiative involving the greenfield implementation of Cloud Data & Analytics platform. The role focuses on day-to-day project execution, cross-team coordination, and delivery support from the business side, working alongside IT and vendor project managers to ensure milestones are achieved on time and with quality

What will you do?

The holder of this position will be primarily responsible for the following activities in close coordination with the Business Lead:

• Coordinate and manage the execution of project deliverables, ensuring alignment across business, IT, and vendor teams.

• Maintain and monitor project plans, RAID logs (Risks, Assumptions, Issues, Dependencies), resource trackers, and timelines.

• Support the Project Lead in preparing project updates, dashboards, and materials for senior leadership and the steering committee.

• Facilitate and document business requirements, workshop discussions, UAT plans, and change request processes.

• Drive follow-ups on open items, decisions, and action items with respective owners.

• Support planning and execution of user onboarding, change management, and communication efforts.

• Ensure project governance standards are upheld, and documentation is consistently maintained.

• Act as a liaison between Vendor PM, IT PM, and internal business stakeholders.

What will you need?

University degree in Business, Information Systems, Computer Science, or related discipline.

• 6+ years of project delivery experience, with at least 2 full-cycle implementations in digital/data/BI transformation projects.

• Proven experience coordinating or managing greenfield technology implementations, ideally with GCP, MicroStrategy, or similar platforms.

• Sound understanding of project management methodologies (Agile, Hybrid, or Waterfall), including hands-on experience with Google Workspace tools would be beneficial.

• Excellent command of project documentation standards: project charters, status reports, RAID logs, stakeholder maps, and communication plans.

• Good communication, facilitation, and stakeholder engagement skills - able to influence across business and technical teams.

• Able to operate in a dynamic, cross-functional environment with shifting priorities.

• PMP/Prince2/Agile certifications are preferred.

Development opportunities:

Gain hands-on experience in a greenfield implementation of Cloud Data & Analytics platform.

• Strengthen knowledge in enterprise data and BI platforms within a digital transformation program.

• Build domain understanding in merchandising & sourcing.

• Enhance cross-functional coordination skills by working across business, IT, and vendor teams.

• Develop exposure to project governance and reporting practices in a multi-stakeholder environment.

Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Job description

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.

Additional job description

The Data Center Operations (DCOps) organizations mission is to deploy, operate, and maintain a scalable and secure global Google Data center infrastructure safely, reliably, and efficiently, 24x7.

In this role, you will lead the operational readiness strategy for Google's newest data center technical infrastructure. You will act as the vital bridge between product development and field execution, ensuring all new releases are designed, built, and deployed with operability, safety, and scale in mind.

You will partner with data center infrastructure engineering, supply chain, manufacturing, and experts globally to drive the execution of operations and maintenance strategies for all product deployments.

Qualifications

Job responsibilities

• Represent the Data Center operations cross-function for new product development (NPI) programs that result in the launch and deployment of complex technical infrastructure.
  
• Ensure alignment of product and business goals by developing and driving program plans and coordinate activities within the established program timelines and budgets.
  
• Work closely with subject matter experts and point of contacts (POC) internal as well as external to the reporting organization. Highlight dynamic issues and manage the activities of internal and external resources in the planning and execution of programs.
  
• Be responsible for overall coordination of the Data Center Operations Product team, their activities and day to day management of the program and progress on appropriate cadence. 
  
• Develop and execute risk management plans and communications plans.
  

Minimum qualifications

• Bachelor's degree in a technical field, or equivalent practical experience. 
  
• 2 years of experience in program management.
  
• Experience in driving the new product introduction (NPI) programs and process improvement initiatives.

Preferred qualifications

• 2 years of experience managing cross-functional or cross-team projects.
  
• Experience with server hall infrastructure (e.g., server racks, server machines, networking switches, fiber management, etc.).
  
• Experience with electrical infrastructure (e.g., electrical switchyard, transformers, HV/MV transmission and distribution, etc.), or mechanical infrastructure (e.g., cooling towers, chillers, gensets, MCUs, etc.).
• Ability to build strong relationships, manage multiple concurrent projects, and lead various, global, cross-functional teams.
• Ability to adapt, thrive in ambiguous environments and create scalable process order to drive results.
• Ability to travel domestically and internationally up to 15% of the time.

The Manager, Data & AI Architect will lead the design and adoption of secure, scalable AI platforms powering Legal-Tech SaaS, Generative AI, and Agentic AI solutions. You will bridge legal workflows and modern AI systems, guiding engineering teams and stakeholders to deploy compliant, production-grade AI capabilities that deliver measurable business impact.

The impact you will have

• Build and mature the organisation’s production AI platform across cloud and on-prem environments
• Deploy secure RAG and LLM solutions that automate document-heavy legal workflows
• Establish governance, security, and compliance standards aligned with confidentiality requirements
• Drive adoption of AI capabilities across legal practitioners and internal teams
• Lead engineers and stakeholders to translate business processes into scalable AI solutions
• Optimise infrastructure performance, cost, and observability for AI workloads
• Define the firm’s AI architecture roadmap and operational best practices
• Enable successful rollout of Agentic AI and automation initiatives

What we look for

• 10+ years in solution architecture, data platforms, or AI engineering leadership
• Experience in LLMs, RAG pipelines, and vector databases
• Strong knowledge of Kubernetes / OpenShift and cloud platforms (Azure, AWS, or GCP)
• Experience designing systems in regulated or security-sensitive environments
• Familiarity with DevSecOps practices (CI/CD, Terraform, Infrastructure-as-code)
• Ability to lead teams while remaining technically hands-on
• Strong communication skills with both technical and non-technical stakeholders
• Background in Legal-Tech, FinTech, or enterprise SaaS is advantageous

As a Global Facilities Data Analytics Program Manager, you will lead enterprise data architecture, advanced analytics, dashboard development, and automation initiatives. This role requires strong technical expertise in designing and deploying complex PowerBI dashboards in enterprise environments.

This role requires a strong data management background and the ability to translate complex data into concise summaries and dashboards. You should be detail‑oriented, with the capability to deliver clear, high‑quality data analysis that supports leadership decision‑making. A solid understanding of data is essential to identify opportunities for data optimization and benchmarking. The role also requires flexibility, the ability to maintain global relationships, and strong communication and presentation skills.  

Major Job Responsibilities: 

Data Governance and Architecture

• Design scalable enterprise data models and reporting frameworks.

• Establish KPI definitions and structured data logic.

• Ensure data integrity, performance optimization, and governance standards.

• Drive reporting automation and digital transformation initiatives.

Advanced Dashboard Development

• Design and develop complex PowerBI dashboards with multi-layered data models.

• Write advanced DAX measures and calculated columns.

• Build data transformation pipelines using Power Query (M Language).

• Integrate multiple data sources into structured semantic models.

• Optimize performance for large and complex datasets.

• Deliver executive‑level dashboards with drill‑down, dynamic filtering, and advanced analytics and visualization logic leveraging machine learning and AI models.

Automation & Digital Solutions

• Develop workflow automation using Power Automate.

• Build business applications using Power Apps.

• Integrate dashboards with automated workflows and scalable solutions.

Requirements 

• Proven track record of independently delivering complex, enterprise‑scale BI solutions.

• Strong expertise in data modeling, semantic layer design, and scalable analytics architecture.

• Ability to design analytical solutions beyond basic reporting use cases.

• Demonstrated ownership of end‑to‑end dashboard delivery, from data ingestion through production deployment.

• Strong problem‑solving skills with the ability to structure ambiguous and complex data challenges into clear analytical frameworks.

• Experience working effectively in cross‑functional and global environments.

• Strong communication skills, with the ability to clearly explain technical concepts to non‑technical stakeholders.

• Familiarity with cost information systems, including SAP and SAP Analytics Cloud Planning (SAC‑P).

• Highly collaborative team player with excellent interpersonal skills.

• Organized, detail‑oriented, and highly focused on data accuracy and quality.

• Demonstrates a high level of integrity in managing sensitive and confidential data.

• Culturally aware, with the ability to build long‑term trust and working relationships across a global Facilities network.

• Adaptable and resilient in dynamic, fast‑changing business environments.

• Continuous improvement mindset, consistently seeking opportunities to enhance efficiency and improve business processes in partnership with stakeholders.

Education & Experience 

• Bachelor’s Degree and above specialized in Engineering, Information systems, Business, or Finance or equivalent experience 

• 5+ years of professional experience in data analytics is required, with experience applying analytics tools and BI platforms (e.g., Power BI) to build dashboards, models, and analytical insights. 

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

Diversity & Inclusion​

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​

Responsibilities

About the team

PDPO(Privacy and Data Protection Office) is the organization to lead, supervise, and empower all TikTok's privacy work in an accountable and industry leading way. This team is the expert in the landscape of privacy risks and passionate about consulting across the company on implementing the proper safeguards and technical mitigations to ensure that our users’ privacy is honored across the TikTok's products and platforms. With the rapid development of AI technologies, the team also drives AI compliance governance work, integrating privacy-by-design and AI principles into the full lifecycle of AI products and services.

What you’ll do:

• Responsible for the risk identification, evaluation, governance, improvement and tracking of data protection, to address data protection pain points in business such as e-commerce, video creation, education, international payment, etc., and cooperate with the legal team to transform legal compliance requirements into solutions, deal with corresponding risks, and further precipitate into standard compliance programs and guidelines to improve business compliance efficiency.
• Responsible for the implementation of the company's privacy protection program and AI compliance frameworks.
• Promote the implementation of the company's privacy protection and AI compliance programs; drive the development of data security, privacy protection, and AI compliance automation tools.
• Participating in technical and compliance discussions with engineering and information security peers. Track and benchmark the latest international legal and regulatory requirements on AI, continuously promote the rectification of data, privacy, and AI compliance gaps.
• Establishing and promoting both process and technical systems of business privacy protection, and ensure the risk convergence and privacy protection technology landing in business scenarios.

Minimum Qualifications:

• Industry experience in driving change in technology companies, with a focus on privacy or AI compliance.
• Bachelor degree or above in information security, computer science, information system, law, AI, data science or related majors, or equivalent work experience.
• Privacy protection and AI compliance related experience, with solid background knowledge of enterprise security, AI technology, and compliance management.
• Privacy certifications from bodies such as the IAPP are preferred, including: CIPP/E, AIGP and etc.
• Familiar with domestic and international laws and regulations, such as cybersecurity law, GDPR, HIPAA, etc.

Preferred Qualifications:

• Proficiency in PIA/DPIA methodologies, with experience in presiding over or participating in privacy-by-design work for AI systems (e.g., generative AI, recommendation algorithms). •Participated in GDPR, CCPA, ISO27001, ISO27701 initiatives and AI compliance projects (e.g., AI system compliance assessment, algorithm transparency implementation).
• Deep understanding of EU AI Act, domestic Generative AI Management Measures, NIST AI Risk Management Framework, and other global AI laws and standards.
• Rich experience in AI compliance, including AI data governance, AI transparency implementation, or AI regulatory engagement.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

Diversity & Inclusion​

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​

Responsibilities

About the team

PDPO(Privacy and Data Protection Office) is the organization to lead, supervise, and empower all TikTok's privacy work in an accountable and industry leading way. This team is the expert in the landscape of privacy risks and passionate about consulting across the company on implementing the proper safeguards and technical mitigations to ensure that our users’ privacy is honored across the TikTok's products and platforms. With the rapid development of AI technologies, the team also drives AI compliance governance work, integrating privacy-by-design and AI principles into the full lifecycle of AI products and services.

What you’ll do:

• Responsible for the risk identification, evaluation, governance, improvement and tracking of data protection, to address data protection pain points in business such as e-commerce, video creation, education, international payment, etc., and cooperate with the legal team to transform legal compliance requirements into solutions, deal with corresponding risks, and further precipitate into standard compliance programs and guidelines to improve business compliance efficiency.
• Responsible for the implementation of the company's privacy protection program and AI compliance frameworks.
• Promote the implementation of the company's privacy protection and AI compliance programs; drive the development of data security, privacy protection, and AI compliance automation tools.
• Participating in technical and compliance discussions with engineering and information security peers. Track and benchmark the latest international legal and regulatory requirements on AI, continuously promote the rectification of data, privacy, and AI compliance gaps.
• Establishing and promoting both process and technical systems of business privacy protection, and ensure the risk convergence and privacy protection technology landing in business scenarios.

Minimum Qualifications:

• Industry experience in driving change in technology companies, with a focus on privacy or AI compliance.
• Bachelor degree or above in information security, computer science, information system, law, AI, data science or related majors, or equivalent work experience.
• Privacy protection and AI compliance related experience, with solid background knowledge of enterprise security, AI technology, and compliance management.
• Privacy certifications from bodies such as the IAPP are preferred, including: CIPP/E, AIGP and etc.
• Familiar with domestic and international laws and regulations, such as cybersecurity law, GDPR, HIPAA, etc.

Preferred Qualifications:

• Proficiency in PIA/DPIA methodologies, with experience in presiding over or participating in privacy-by-design work for AI systems (e.g., generative AI, recommendation algorithms). •Participated in GDPR, CCPA, ISO27001, ISO27701 initiatives and AI compliance projects (e.g., AI system compliance assessment, algorithm transparency implementation).
• Deep understanding of EU AI Act, domestic Generative AI Management Measures, NIST AI Risk Management Framework, and other global AI laws and standards.
• Rich experience in AI compliance, including AI data governance, AI transparency implementation, or AI regulatory engagement.

As a hands-on Data Analyst in the data team, you will support teams across the Tripartite Alliance for Fair and Progressive Employment Practices (TAFEP), a unit under Tripartite Alliance Limited (TAL). You will gather business and data requirements, prepare well-defined datasets/views, and deliver trusted insights through SQL queries, reports, and dashboards. Working closely with stakeholders and the data team, you will strengthen data quality, streamline recurring reporting, and improve/automate data processing workflows where appropriate, while handling sensitive personal and government-sourced data in line with organisational policies.

Experience with Denodo (or similar data virtualisation platforms) is an advantage; if not, a willingness to learn and explore is welcomed.

Responsibilities

• Engage TAFEP teams to understand and document business processes and reporting needs; translate them into clear data definitions and technical specifications for datasets, reports, and dashboards.
• Build and maintain strong knowledge of TAFEP datasets, data definitions, and end-to-end data flows across source systems and the reporting/analytics platform.
• Partner stakeholders to define KPIs and success measures; design, build, and iterate dashboards using appropriate BI tools (e.g., Tableau, Power BI, or equivalent).
• Develop, optimise, and maintain SQL queries and reusable datasets/views for reporting; perform data validation and reconcile results with business owners to ensure accuracy and consistency. Where applicable, work with a semantic layer/data virtualisation tool (e.g., Denodo/VQL or equivalent).
• Perform ad-hoc analysis to answer operational and policy questions; clearly communicate findings, assumptions, and limitations.
• Maintain documentation such as metric definitions, report logic, and data dictionaries to support consistent interpretation and self-serve reporting.
• Troubleshoot data and reporting issues end-to-end, conduct basic root-cause analysis, and coordinate with relevant parties for timely resolution.
• Plan and support User Acceptance Testing (UAT) by preparing test scenarios, coordinating execution, tracking issues, and supporting business sign-off prior to release.
• Drive adoption by coaching stakeholders on dashboards and basic querying; develop and maintain clear user guides and documentation. Exposure to Denodo/VQL is a bonus; if not, willingness to learn and explore is welcomed.
• Ensure data handling, access, and reporting processes comply with organisational policies and applicable requirements, including PDPA (for TAL-managed personal data) and, where handling government-sourced data, the Public Sector (Governance) Act (PSGA) and relevant official information security/classification and data sharing requirements (e.g., need-to-know access and secure handling).
• Identify opportunities to automate and standardise recurring data processing and reporting workflows (e.g., scheduling, reconciliation, and data quality checks) in partnership with the data team and stakeholders.

Job Requirements

• Proficient in handling large datasets with a strong focus on data integrity.
• Good understanding of data flows, data governance concepts, and how reports/dashboards are produced from source systems.
• Strong stakeholder management skills, with the ability to translate business questions into analytical approaches and to coordinate with vendors/partners when needed.
• Proficient in Microsoft Excel and at least one BI/reporting platform (e.g., Power BI, Tableau, or equivalent), including dashboard design and data storytelling.
• Strong SQL capability (e.g., PostgreSQL or equivalent), including query optimisation and basic data modelling. Knowledge of VQL and/or Denodo (or similar data virtualisation tools) is a bonus; otherwise, willingness to learn and explore is welcomed.
• Nice to have: experience with scripting or analytics languages (e.g., Python or R) for automation, analysis, or data preparation.
• Strong analytical and problem-solving skills, with excellent communication and interpersonal skills.
• Attention to detail and commitment to delivering high-quality solutions.
• Ability to work independently under pressure and prioritise effectively to meet tight deadlines.

• Strong proficiency in Python, SQL, and Advanced Excel for data manipulation and validation• Hands-on experience with Azure Cloud ecosystem, especially:• Azure Data Factory• Azure Data Lake• Azure Databricks• Strong working knowledge of Apache Spark (PySpark preferred)• Experience building and optimizing scalable ETL/ELT data pipelines• Experience implementing CI/CD pipelines (Azure DevOps or similar tools)• Understanding of data architecture, data modelling, and performance tuning________________________________________Key Responsibilities• Design and develop scalable data Products in Azure Cloud.• Manage ingestion, transformation, and validation of multi-source datasets• Collaborate with Data Science teams to deliver model-ready datasets for MMM and advanced analytics• Implement and maintain CI/CD pipelines for data workflows• Optimize Spark jobs and cloud infrastructure for performance and cost efficiency• Ensure data governance, documentation, and best engineering practices• Contribute to cloud architecture decisions and continuous platform improvements.

Job Description

• Industry/ Organization Type: Information Technology Consulting
• Position Title: Product Manager (Esp Data & AI Platform)
• Working Location: Pasir Panjang
• Working Hours: 5 days, Mon – Fri (8:30 AM – 6:00 PM, Fri 8:30 AM - 5:30 PM)
• Salary Package: Basic Salary + Completion Bonus
• Duration: 1 year contract (renewable)

Key Responsibilities

• Define and communicate the product vision and strategy for the enterprise data hub, aligned with user needs and business goals.
• Manage the data hub as a product platform, balancing the needs of data producers, users, analytics, and AI use cases.
• Conduct user research, interviews, and testing, and analyse data and feedback to identify problems and guide product decisions.
• Translate product strategy into clear requirements, user stories, and acceptance criteria.
• Identify and manage risks across the product lifecycle, including data, security, AI, and operations.
• Prioritise and maintain the product backlog to deliver high-impact data and AI features.
• Collaborate with engineering, design, project teams, data owners, and policy teams, and communicate updates to stakeholders.
• Plan and support product launches, monitor performance, and improve based on results.
• Define success metrics, data requirements, and reporting methods to track outcomes.
• Work with data owners to ensure data quality, governance, access control, and proper usage.
• Identify and assess AI opportunities, evaluate feasibility and risks, and translate them into clear use cases.
• Ensure AI features are practical for daily use, including monitoring performance and supporting adoption through training and communication.
• Any ad hoc duties assigned

APPLY NOW!!!

• Minimum 7 years of experience in product management.
• Strong analytical skills and ability to use data for decision-making.
• Experience working with cross-functional teams and aligning stakeholders.
• Experience managing product lifecycle and go-to-market activities.
• Good technical understanding to work with engineering teams on requirements and constraints.
• Strong communication and stakeholder management skills.
• Experience with data platforms (e.g. data lakes, warehouses, APIs, pipelines).
• Experience with data or AI-related products, including understanding risks and implementation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #83248 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781