Total 237 Manager data entry job vacancies in Singapore

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.

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.​

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are 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 enrich life - a mission we work towards every day.​

As ByteDancers, 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. 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​

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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.​

Job highlights

Positive team atmosphere, Career growth opportunity, Paid leave, Industry experts, Meals provided

Responsibilities

Team Introduction

The mission of the Data Platform Business Partnering Product Manager(BP PM) team is to build the business data product system that empower businesses. Based on business data warehouse and engineering technology, we have built several business data portals. In the future, we still have great challenges to go deep into business scenarios and build data product services to improve business efficiency. If you’re looking for such an opportunity, welcome to join us!

Responsibilities

- Responsible for the planning and design of data products for various business value chains.

- Deep dive into business scenarios, output data product design solutions for business value chains by connecting various resources of the data platform, and implement the solution.

- Get sharp insights into the industry by combining deep understandings of business and industry, output the big data solution for various business value chains, empowering the business to grow rapidly.

- Work closely with the business team, actively collaborate to produce product solutions, and let more users benefit through the operation and promotion of products

- Use data tools to follow up on the operation and analysis of products, and continuously optimize them, ensuring the best user experience for the products.

Qualifications

Minimum Qualifications

- Bachelor's degree or above in Computer Science, Engineering, Information Systems, Mathematics, Statistics, or a related technical field, with a solid technical foundation and data comprehension.

- At least 5 years of progressive product management experience, including at least 3 years dedicated to complex data products (BI / Data Platforms / Intelligent Analysis / AI Data Products)

- At least 2 years of experience working in a technology-driven environment, capable of collaborating deeply with engineering and data science teams, and understanding system architecture and data pipelines.

- Full product lifecycle experience (0 to 1 or 1 to N), having independently owned core modules or complete platform products in a global or multi-regional context, from requirement definition and solution design to launch and continuous optimization.

- Strong data sensitivity, able to conduct basic data exploration and validation using SQL or other data analysis tools to uncover actionable insights.

Preferred Qualifications

- Experience with Data Middle Platforms / Metric Systems / Semantic Layers / Data Asset Management / AI Agents / Intelligent Analysis products is highly preferred.

- Deep understanding of global content ecosystems, with hands-on experience building B2B data empowerment tools (e.g., one-stop data service solutions or analytical tools for external partners) to drive ecosystem growth or commercialization.

- Complex project management experience, able to efficiently drive projects in a multi-team environment (Data, Engineering, Business, Algorithms). Proven ability to lead large cross-functional teams to deliver 0-1 platform products under tight constraints.

- Demonstrated strong ownership (end-to-end accountability for results, not just requirements), with driving force and decision-making ability in complex environments.

- Strong structured thinking and abstraction capabilities, able to design metric systems, data models, or business semantic structures.

- Experience handling large-scale data (hundreds of millions+), able to make data-driven decisions amidst ambiguity.

- Familiarity with the application of AI / LLM / Agents in the data domain, with relevant product design or implementation experience preferred.

- Excellent communication and influencing skills, able to drive consensus among different roles (Business/Tech/Management) across diverse cultural backgrounds.

- Ability to independently break down complex problems, formulate product solutions based on data and business logic, and drive cross-functional execution to achieve measurable business impact.

KEY TECHNICAL SKILLS

• Hands-on experience of Azure data services, including Azure Data Factory, Azure Data Lake and Databricks
• Experience in ETL Development
• Experience of developing and servicing data via API endpoints, and Azure API Management
• Python 3.x, with 5+ years’ programming experience that includes Tool usage, such as Jupyter Notebooks Virtual environments, Automated testing through feature files, CI/CD implementations
• Experience in git and branching strategies
• Experience of batch scheduling
• Experience in bash scripting
• Experience using SOAP UI / Postman / Fiddler for API testing
• Experience of incident and change management processes

NICE TO HAVE SKILLS

• Finance industry domain knowledge
• Agile & DevOps best practices
• Experience of Atlassian products, including Jira, Confluence and BitBucket

EXPERIENCE / QUALIFICATIONS

• 8+ years development experience
• 3+ years Azure experience
• Azure data engineer or developer certification preferred
• Bachelor’s degree in computer science, computer engineering or relevant field
• Excellent verbal and written communications. Fluent in English

CANDIDATE ATTRIBUTES

• Works independently
• Takes ownership of work, delivering solutions end-to-end with minimal support
• Can-do attitude
• Strong interpersonal skills, negotiating and influencing others
• Willing to learn and try new things, to be outside of their comfort zone
• Comfortable to collaborate & eager to share knowledge, to teach and guide others

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.​

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are 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 enrich life - a mission we work towards every day.​

As ByteDancers, 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. 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​

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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.​

Job highlights

Positive team atmosphere, Career growth opportunity, Paid leave, Industry experts, Meals provided

Responsibilities

Team Introduction

The mission of the Data Platform Business Partnering Product Manager(BP PM) team is to build the business data product system that empower businesses. Based on business data warehouse and engineering technology, we have built several business data portals. In the future, we still have great challenges to go deep into business scenarios and build data product services to improve business efficiency. If you’re looking for such an opportunity, welcome to join us!

Responsibilities

- Responsible for the planning and design of data products for various business value chains.

- Deep dive into business scenarios, output data product design solutions for business value chains by connecting various resources of the data platform, and implement the solution.

- Get sharp insights into the industry by combining deep understandings of business and industry, output the big data solution for various business value chains, empowering the business to grow rapidly.

- Work closely with the business team, actively collaborate to produce product solutions, and let more users benefit through the operation and promotion of products

- Use data tools to follow up on the operation and analysis of products, and continuously optimize them, ensuring the best user experience for the products.

Qualifications

Minimum Qualifications

- Bachelor's degree or above in Computer Science, Engineering, Information Systems, Mathematics, Statistics, or a related technical field, with a solid technical foundation and data comprehension.

- At least 5 years of progressive product management experience, including at least 3 years dedicated to complex data products (BI / Data Platforms / Intelligent Analysis / AI Data Products)

- At least 2 years of experience working in a technology-driven environment, capable of collaborating deeply with engineering and data science teams, and understanding system architecture and data pipelines.

- Full product lifecycle experience (0 to 1 or 1 to N), having independently owned core modules or complete platform products in a global or multi-regional context, from requirement definition and solution design to launch and continuous optimization.

- Strong data sensitivity, able to conduct basic data exploration and validation using SQL or other data analysis tools to uncover actionable insights.

Preferred Qualifications

- Experience with Data Middle Platforms / Metric Systems / Semantic Layers / Data Asset Management / AI Agents / Intelligent Analysis products is highly preferred.

- Deep understanding of global content ecosystems, with hands-on experience building B2B data empowerment tools (e.g., one-stop data service solutions or analytical tools for external partners) to drive ecosystem growth or commercialization.

- Complex project management experience, able to efficiently drive projects in a multi-team environment (Data, Engineering, Business, Algorithms). Proven ability to lead large cross-functional teams to deliver 0-1 platform products under tight constraints.

- Demonstrated strong ownership (end-to-end accountability for results, not just requirements), with driving force and decision-making ability in complex environments.

- Strong structured thinking and abstraction capabilities, able to design metric systems, data models, or business semantic structures.

- Experience handling large-scale data (hundreds of millions+), able to make data-driven decisions amidst ambiguity.

- Familiarity with the application of AI / LLM / Agents in the data domain, with relevant product design or implementation experience preferred.

- Excellent communication and influencing skills, able to drive consensus among different roles (Business/Tech/Management) across diverse cultural backgrounds.

- Ability to independently break down complex problems, formulate product solutions based on data and business logic, and drive cross-functional execution to achieve measurable business impact.

POSITION SUMMARY:

We are searching for a Business Development Manager, Data Center. As an innovative sales professional, we look for ambitious, forward-thinking, open-minded, and well-rounded individuals to join our EA&I team. Located in our regional headquarters (subject to other location), the Business Development Manager, Data Centers EA&I, will be part of the EA&I Commercial team reporting to the Director Product Line Management, FP EA&I. This role is responsible for the development of profitable and sustainable sales growth for the data center cooling solution through OEM and end user markets within the Region via strong coordination of sales efforts across the entire Power Transmission and Fluid Power products portfolio.

THE ROLE

This role is responsible for the development of profitable and sustainable sales growth for the data center cooling solution through OEM and end user markets within the Region. Additionally, this role is responsible for aligning the local sales and marketing strategy with the business objectives. The Business Development Manager will have broad responsibility to coordinate sales efforts across the entire Power Transmission and Fluid Power products portfolio.

YOUR RESPONSIBILITIES / ESSENTIAL DUTIES AND RESPONSIBILITIES: Other duties may be assigned beyond the core functions listed below.

The Business Development Manager, Data Center’s specific responsibilities will fall into three primary areas:

Accountability #1: Customer (Internal / External Stakeholders)

• Understand industry dynamics, decision-making process and decision makers on product specification and buying decisions.
• Identify and map key players in the decision-making chain (Engineering Firm/Consultants /Owner & operators of data center and crypto sites / Developers & Integrators).
• Technology trends/technology shifts - understand how the industry requirements are changing and translate how it affects the utilization of our products (for example: immersion cooling, direct to chip cooling).
• Identify industry standards and requirements for focus in terms of development, qualifications, and testing/demonstration for market legitimacy.
• Understand and communicate to internal stakeholders Data Center general architecture & applications related to Gates products and respective OEMs.
  • Hyperscale / enterprise/co-location/edge data center / micro data center
  • Healthcare/education/ energy &power / high-tech
  • Understandmodularity and scalability of the design
  • Impact of AI and increasing Data Center Power density

Accountability #2: Process / Performance

• Define and implement a segment growth strategy for the markets, with a focus on Data Center cooling, both liquid and air cooling.
• Create and execute the business plan, in line with the EA&I Strategic Plan and budget target.
• Become an expert in the Data Center segment within the EA&I region, including a deep understanding of the segment's technical process needs and challenges.
• Identify and size opportunities related to new product development.
• Drive marketing efforts and market awareness of Gates Fluid Power and Power Transmission portfolio for different Data Center customers and Cooling Solution OEM, and Integrators.
• Define and develop go-to-market plans for each of the applicable products in our portfolio with primary focus on Cooling applications targeted at high power density computing applications.
• Create a product content roadmap to support Business Development and Lead Gen activities, working in cooperation with GPLM and Marketing Organization.
• Define and continuously maintain critical market intelligence from the market, customer, and competitor view for the Data Center segment.
• Research and analyze Market Size, Market Segments, Economic & Regulatory Drivers, Applications & Technologies Products / Systems / Services, Channels to Market, Industry Trends, Competitors, perform SWOT Analysis, etc. Utilize this market intelligence against current and future strengths/capabilities in alignment with the business line strategy and to identify inorganic growth opportunities.
• Monitor key competitors' performance; compare to our own performance and draw conclusions on areas of growth opportunities and/or identify competitive threats to the business.

Accountability #3: People

• Work closely with the technical sales team, application engineers, and existing account management organization to develop a pipeline of new project opportunities and define winning sales strategies to identify growth opportunities and innovation.
• Build and lead a team of application engineers in future.

KEYS TO SUCCESS:

• Lead with an outside in mindset to place customers in the center of everything we do.
• Exemplify Gates ethics and core values to develop talents with right skills, knowledge and behavior.
• Advocate reward for performance to drive accountability for sustainable growth
• Design a contemporary and innovative learning environment to attract diverse talent pool.

YOUR QUALIFICATIONS/ QUALIFICATIONS & PREFERRED SKILLS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

• Bachelor's Degree in Engineering, Business, or Marketing discipline.
• Minimum of 10 years of relevant professional experience with at least 5 years business development or account sales experience.
• Background with Data Center infrastructure required.
• Experience with High Density Data Center Cooling solutions preferred.

REQUIRED SKILLS:

• Negotiation and Influencing skills
• Possess market research and sales mapping skills.
• Strong business acumen
• Strong analytical and problem-solving skills.
• Must have excellent written and verbal English communication skills.
• Advanced Microsoft Excel skills for data analysis.
• Advanced Microsoft PowerPoint skills to deliver high quality executive-ready presentations.

WORKING LOCATION:

Jurong East, Industrial Business Park

PHYSICAL DEMANDS: (travel, etc)

While performing the duties of this job, the employee is frequently required to sit; use hands to finger, handle, or feel objects, tools, or controls; and talk or hear. The role is expected to travel up to 30% of the time, including international travel.

We are firmly committed to the equitable treatment of all our employees and qualified applicants for employment. Equal opportunity in all aspects of employment is one of our firmest and most basic beliefs and we will not tolerate any illegal discrimination, harassment or retaliation. The Company will not tolerate discrimination or harassment on the basis of race, religion, national origin, sex, age, physical or mental disability, marital status, sexual orientation or any other protected class.

Please be advised that Gates Corporation does not accept resumes from third-party recruiters.

Position Summary :

This position is responsible for leading data-driven projects aimed at optimizing industrial processes, improving efficiency, and driving innovation. They oversee the end-to-end project lifecycle, from requirements gathering and data analysis to model development, deployment, and performance monitoring. This role holds a blend of team and project management expertise, technical proficiency in data science and analytics, and a deep understanding of industrial operations.  He/She will be the initiator, influencer and driving the stakeholders to emulate, synchronize and connect to make Thales AVS (both production and repair activities) more sustainable and competitive through innovation and collaboration to achieve industrial excellence. 

Main Tasks  & Responsibilities:

• Team and data science portfolio management: Responsible for the Roadmap of the data science and manage data science ROI and Portfolio, develop requirements and ensure value and benefit the shopfloor operation, guide data science engineers to develop and review their work as well to grow their skills and experience.

• Project Planning: Develop comprehensive project plans, defining scope, objectives, deliverables, timelines, resource allocation, and budget estimates for industrial data science projects.

• Stakeholder Engagement: Collaborate with stakeholders to understand business needs, gathering requirement, operational challenges, and opportunities for leveraging data science to drive value.

• Technical capability on Data Science: Work and guide data engineers and domain experts to identify relevant data sources, extract, clean, and preprocess data for analysis and application and modeling, Mentor and develop data science and data engineering team members, fostering technical excellence, knowledge sharing, and continuous learning within the team.

• Data Analysis and Modeling: Lead data exploration, statistical analysis, and machine learning model development to uncover insights, patterns, and trends in industrial data.

• Model Deployment: Oversee the deployment of data science models into production environments, ensuring scalability, reliability, and integration with existing systems. Deploy standards defined and contribute to their improvements.

• Performance Monitoring: Establish key performance indicators (KPIs) and monitoring mechanisms to track the performance and effectiveness of deployed models over time with business value generated.

• Cross-Functional Collaboration: Coordinate with cross-functional teams, including data scientists, engineers, IT specialists, and business analysts, to ensure alignment and synergy in project execution.

• Risk Management: Identify and mitigate potential risks and challenges associated with data science projects, such as data quality issues, algorithmic bias, and model interpretability.

• Quality Assurance: Implement quality control measures and validation procedures to ensure the accuracy, robustness, and reliability of data science solutions.

• Documentation and Reporting: Maintain detailed documentation of project activities, methodologies, findings, and outcomes, and provide regular progress updates and reports to stakeholders.

• Business Value Delivery: Define, measure and keep track of business value deliverables link to the project ROI

• Data Governance and Data Strategy: Define and enforce data governance standards, including data quality, data lineage, metadata management, and security. Establish data strategies that ensure reliable, scalable, and trusted data pipelines to support industrial analytics and AI initiatives.

• AI/ML Lifecycle Management (MLOps):Implement and manage the end-to-end machine learning lifecycle including experimentation, versioning, CI/CD pipelines, automated model retraining, monitoring for model drift, and continuous improvement.

• Change Management and AI Adoption: Drive adoption of data science solutions by collaborating with operational teams, ensuring that developed models and insights are embedded into decision-making processes and shopfloor operations.

Candidate Profile & Qualifications:

• Bachelor's degree in computer science, data science, industrial engineering, or a related field; advanced degree or relevant certifications preferred.

• At least 8 years proven experience in project management, specifically in leading data science or analytics projects in industrial settings.

• Experience managing small team and data science portfolio

• Experiences on requirement gathering, scoping, data mapping and data driven improvement, digital transformation projects to deliver business objectives are plus

• Strong technical proficiency in data science tools and techniques, including architecting, statistical analysis, machine learning, predictive modeling, and data visualization.

• Experience with industrial data sources, such as sensor data, time-series data, SCADA systems, and IoT devices.

• Excellent leadership, communication, and stakeholder management skills, with the ability to engage and influence both internal and external stakeholders at all levels of the organization.

• Proficiency in project management methodologies and tools

• Knowledge of industrial processes, manufacturing operations, and relevant industry standards and regulations.

• Familiarity with data governance, privacy, and security best practices in industrial environments.

• Experience with process optimization, continuous improvement, and lean manufacturing principles is a plus

• Experience with architecting, IS/IT projects or vendors management is a plus

• Strong disposition toward continuous learning, self-starter and passionate on data science to create business value

• Good attitude, open mind and flexibility to adjust and promote change for continuous improvement

• 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 Responsibilities
• Lead one or more Data Center (DC) projects, ensuring smooth execution of all M&E works.
• Lead and support new DC project tenders in Singapore and provide remote support for Malaysia tenders as required.
• Supervise, guide and mentor M&E Managers, Coordinators and the site team to achieve project targets.
• Manage and coordinate design consultants, client-appointed vendors, specialist contractors and strategic partners.
• Oversee M&E planning, scheduling, installation progress, procurement strategy and contract administration.
• Identify design gaps, technical risks and site constraints, and implement effective engineering solutions. • Provide technical support for new builds, fit-out works.
• Maintain strong and professional relationships with clients, developers, QPs, authorities, subcontractors and suppliers.
• Ensure M&E installations meet project specifications, authority regulations, safety standards and quality expectations.
• Promote DFMA, modular/prefabricated MEP, productivity improvement measures and safe installation practices. • Monitor manpower deployment, procurement progress, inspections, testing and commissioning milestones.
• Administer contracts, manage variations, evaluate quotations and ensure both commercial and technical compliance.
• Identify potential risks relating to design, sequencing, resources, materials or schedule, and drive mitigation measures.
• Maintain proper technical documentation, submissions, handover records and support troubleshooting, rectification.

Job Requirements
• Degree in Mechanical or Electrical Engineering from recognized university.
• At least 10 years of relevant MEP work experience with A1 Main Contractor.
• Have gone through 3 to 4 full cycles of complex commercial building projects, preferably with at least 1 full cycle in Data Center project.
• Possess relevant experience in M&E project management, preferably within data center or mission critical infrastructure projects.
• Strong project management skills, stakeholders' management skills, analytical and problem solving skills.
• Resilient, high adaptability positive learning mindset and agility.

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

Job Overview:

We are seeking a hands-on Analytics Lead to turn customer and operational data into actionable insights that drive measurable business impact. Reporting to the Head of Customer Experience and the Head of Data, you will design CX measurement frameworks, build dashboards and pipelines, and maintain AI models to improve NPS/CSAT, reduce churn, and optimize customer journeys.

Responsibilities:

• Customer Experience & Journey Analytics: Analyze priority journeys, build CX scorecards, identify improvement opportunities, and optimize conversion points using AI/LLM models.

• Data Management: Source and prepare data using SQL, enforce quality checks, and document datasets.

• Visualization & Self-Service Intelligence: Create and maintain dashboards in Tableau; standardize metrics across the organization.

• Advanced Analysis & Experimentation: Conduct statistical analyses and automate reporting using Python.

• Insights to Action: Deliver insights to journey owners and leadership, translating analysis into actionable, measurable recommendations.

• Collaboration & Governance: Partner with Data, Product, and CX teams on data models, governance, and privacy compliance.

Requirements:

• Bachelor’s degree in Computer Science, Information Systems, Business Analytics, or a related field

• 4years of experience in analytics, BI, or data science.

• Advanced skills in SQL, Tableau, and Python for data extraction, visualization, and statistical analysis.

• Certifications: Tableau Desktop (Associate or Professional), Python programming (PCEP or PCAP).

• Strong communication and storytelling skills to convey insights effectively.

• Proactive, collaborative, and adaptable to changing business needs.

Job scope:

• Managing the project from tender to completion
• leading a team (Team size is around 10~15 which comprise of Engineers, Supervisors, Safety Coordinators, Drawing Manager, Drafters, etc.)
• Drawing submission (Check & Oversee)
• Getting material approval (Documentation etc.)
• Manage the Sub Contractor
• Planning & sequencing of work
• Liaise with clients, owners and consultants regarding project requirements and schedules
• Resolve all matters that arises
• Deliver the project on time, with quality and on budget
• Control budget, manage expenses and cashflow.

Job Purpose

Intercontinental Exchange Inc. (ICE) is looking for a Manager, Client Content Oversight to lead our Asia based program. ICE is a leading global financial information services provider with an established track record of providing mission-critical, high quality financial information and value-added services, including real-time data, pricing and reference data, fixed income evaluations, security and portfolio analytics and customized financial information portals and terminals.

We seek highly motivated candidates for an opportunity to lead the Client Content Oversight program across Asia. Client Content Oversight is responsible for ensuring ICE proprietary and 3rd party data is licensed appropriately by our global customer base. 

Responsibilities

• Drive individual and support routine customer engagements across the team to understand customer workflows and use of services.
• Document and analyze use cases and associated systems/applications related to data management, distribution, and individual end user consumption.
• Provide concise analysis and findings regarding compliance with client agreements.
• Work collaboratively with the ICE relationship teams to manage customer and business risks.
• Work with internal teams to remediate any findings and any issuance of new or amended contracts.
• Develop relationships with various internal stakeholders, and external customers to promote and support the advancement of the Client Content Oversight program.
• Identify and implement process improvement enhancements across internal workflows.
• Drive and participate in management initiatives and ad-hoc special projects.
• Build a solid understanding of the Fixed Income & Data Services product suite.

Knowledge and Experience

• Bachelor’s degree (or foreign equivalent) is required
• 6-8+ years of financial data and content licensing experience with a market data vendor and/or market data management within a financial institution
• 5+ years negotiating commercial agreements with excellent negotiation skills
• A minimum of 4+ years management experience is required
• Strong familiarity with vendor and exchange data policies with respect to pricing, reference, corporate action, real-time, derived, and index data  
• Knowledge of financial services player types and associated desktop and feed workflows
• Relationship management experience a plus, particularly across senior leadership teams
• Maintain an entrepreneurial spirit and the mindset to keep moving forward despite challenges
• Advanced proficiency with MS Office Suite
• Excellent communication skills
• FISD FIA certification a plus

We are looking for a proactive and technically strong Sales Engineer / Sales Manager to drive business growth in the field of precision cooling, HVAC systems, and data center thermal management solutions. The ideal candidate will have a solid technical background in mechanical or HVAC engineering paired with strong commercial acumen.

You will work closely with end users, consultants, contractors, system integrators, and channel partners to promote high‑performance cooling solutions for mission‑critical environments.

Key Responsibilities

Sales & Business Development

• Identify, qualify, and close new business opportunities in the data center, industrial, commercial, and critical facilities sectors.
• Manage the full sales cycle: lead generation, customer meetings, technical presentations, proposal preparation, quotations, and contract negotiation.
• Build and maintain strong relationships with consultants, M&E firms, facility managers, and key accounts.
• Develop and execute strategic sales plans to grow market presence within Singapore and the region (if applicable).

Technical & Solution Support

• Provide technical recommendations for cooling systems such as CRAC/CRAH, chillers, AHUs, liquid cooling, and thermal management solutions.
• Conduct site visits, gather technical requirements, and propose suitable system configurations.
• Work closely with engineering and service teams to prepare BOQs, solution layouts, and technical proposals.

Market Engagement & Account Management

• Maintain a healthy opportunity pipeline and provide accurate sales forecasting.
• Track industry and competitor activities to identify emerging opportunities in hyperscale, enterprise, and edge data center sectors.
• Conduct product training, seminars, and solution demonstrations for customers and partners.

Requirements

• Diploma or Degree in Mechanical Engineering, Electrical Engineering, Building Services, or a related discipline
• Minimum 2–3 years of experience in HVAC, cooling systems, mechanical systems, or data center infrastructure sales
• Experience in Precision cooling CRAC/CRAH systems Data center thermal management Industrial cooling systems