320 Data Solutions jobs in Singapore
Data Solutions Expert
Posted today
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Job Description
This role involves working on advanced technologies to drive business outcomes.
- Extract and manage data from various sources for analysis and model development.
- Design and deploy predictive models using machine learning techniques to optimize industrial processes.
- Conduct exploratory data analysis and apply algorithms to uncover insights and automate decision-making.
- Validate and fine-tune models using best practices like cross-validation.
- Build data applications and visualizations to communicate findings to stakeholders.
- Collaborate with cross-functional teams to align data solutions with business goals.
The ideal candidate will have:
- At least 2 years of experience in data science or analytics roles.
- Proficient in Python, R, and SQL, with strong skills in libraries like Pandas and NumPy.
- Familiar with machine learning frameworks and data visualization tools.
- Exposure to big data tools and cloud platforms is advantageous.
- Solid grounding in statistics, probability, and mathematical modeling.
- Strong analytical thinking, creativity in problem-solving, and attention to detail.
- Excellent communication skills for conveying complex insights.
This role offers a dynamic environment for career progression, mentorship, and skill advancement in AI, big data, and cloud technologies.
Cutting-edge technologies encouraging employees to innovate and drive digital transformation.
OthersWe are looking for individuals who can think creatively and drive business outcomes through data-driven insights.
Data Solutions Executive
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Job Overview
We are seeking a Data Sales Professional to spearhead the execution of our data solutions strategy, targeting key industries and customer segments.
Main Responsibilities
- Develop and implement a go-to-market strategy for DC Frontiers' data offerings.
- Build a sales pipeline from prospecting to closing high-value enterprise deals.
- Nurture long-term relationships with key accounts to drive repeat business and upsell opportunities.
- Achieve sales quotas and revenue goals through individual effort and collaboration with cross-functional teams.
- Work closely with marketing and data analytics teams to refine offerings based on real-time market feedback.
Requirements
- At least 4 years of B2B sales experience in data solutions or information services with a proven track record.
- A strong network within regulated industries such as credit bureaus, financial services, RegTech, or the Big 4.
- Demonstrated ability to build pipelines and close enterprise-level deals.
- An independent thinker with creative problem-solving skills and excellent communication, presentation, and stakeholder engagement skills.
Data Solutions Specialist
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We are seeking a detail-oriented professional with strong SQL and Python skills to manage, analyze, and process data from multiple sources.
- Job Description: The ideal candidate will design and maintain data solutions, perform advanced data analysis, and work closely with business teams to deliver actionable insights.
- Responsibilities:
- Write and optimize complex SQL queries, stored procedures, and scripts for data extraction, transformation, and analysis.
- Develop and maintain Python programs for automation, data processing, and integration tasks.
- Work closely with analysts, data scientists, and other stakeholders to provide clean, reliable data sets.
- Perform data quality checks, validations, and troubleshooting to ensure accuracy.
- Collaborate with IT and business units to understand data requirements.
- Prepare and maintain technical documentation for processes and datasets.
- Leverage SSIS knowledge (if available) to assist in understanding existing ETL
- Bachelor's degree in computer science, information systems, engineering, or a related field.
- 5-8 years of experience in the related field.
- Strong SQL skills for data manipulation and reporting.
- Strong Python programming skills for data automation and analysis.
- Knowledge of SSIS is an advantage but not required for active development.
- Proactively engage on continuous improvement efforts.
- Good interpersonal skills.
Required Skills and Qualifications:
Data Solutions Specialist
Posted today
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The Data Engineer is responsible for developing and maintaining operation & maintenance decision-support tools to enhance train reliability and maintenance efficiency. This role involves designing, developing, and maintaining data pipelines, APIs, and cloud infrastructure for various rail-oriented applications.
Key Responsibilities:- Develop efficient data ingestion and transformation pipelines.
- Collaborate with cross-functional teams to design scalable database schemas and optimize database performance through indexing, partitioning, and query tuning.
- Design and develop APIs for data access and application integration, implementing authentication, authorization, and API security best practices.
- Assist in designing Azure cloud architectures and work with the IT infrastructure team to set up cloud infrastructure for application hosting, data storage, and processing.
- STEM degree or relevant experience.
- Previous experience as a data engineer or similar role.
- Data engineering certification is a plus.
- Knowledge of security best practices in cloud and database management is a plus.
This position requires an individual who can design and implement efficient data solutions, collaborate with cross-functional teams, and maintain existing systems.
Data Solutions Technical Architect
Posted 12 days ago
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Job Description
Working with Engineering Teams internationally, the Data Solutions Technical Architect provides and manages high quality architecture and design of Data Solutions for Banking Applications used for Capital Markets and Market Risk of an International Bank.
Job Requirements:
- Bachelor Degree in Computer Science / Information Technology
- At least 8 years of software development experience with ability to resolve complex IT issues
- Experienced in leading technical design from inception to proof of concept
- Highly proficient in using advanced features in Java programming language
- MUST HAVE - Java 8 development with multi-threading principles, good knowledge of Java data structure and objects
- Good knowledge of algorithms and data structures
- Strong fundamentals in data complexity analysis
- Understanding of CI/CD pipelines, and tooling
- Experience in Apache Storm, Flink and Spark
- Experience in cloud technologies
- Experience in Parallel processing of the message transformation pipeline to fPML, Json and key/value
- Kafka publishing/distribution primarily and MQ
- Microservices , defining APIs and registering APIs in the service catalogue, APIs and functions
- Experience with Jira tracking system
- Experience in Agile methodology
Head, Data Solutions & AI
Posted 13 days ago
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Job Description
Join to apply for the Head, Data Solutions & AI role at GXS Bank
Join to apply for the Head, Data Solutions & AI role at GXS Bank
Direct message the job poster from GXS Bank
IHRP-SP | Director, Head of Talent | Workforce Planning, Leadership Recruiting, Talent Program ManagementAt GXS, we are a digital bank on a mission to make banking better for Singapore’s everyday consumers and small businesses.
As the Head of Data Solutions & AI, you will play a crucial role in sharing GXS’s data driven strategy.
Reporting to the Chief Data Officer, you will lead a team of talented and high performing Data Scientists, Analysts, AI, and MLOps professionals, to drive actionable insights, enhance decision making and power innovative digital banking solutions.
This role requires a data leader with deep experience in the financial services or banking industry, who understands the complexities of banking data, risk, compliance and customer analytics. Beyond technical expertise, you must be a business centric leader, someone who can translate data into strategic business opportunities, drive commercial impact, and work closely with business leaders to enhance decision making.
You will be to balance data-driven innovation with regulatory compliance, ensuring advanced analytics, AI and machine learning solutions contribute to business growth while maintaining a high standard of governance and security.
Key responsibilities:
- Develop and execute the AI and data science roadmap and strategy aligned with the bank's overall vision and business goals, while articulating the bank-wide value proposition of AI
- Define and execute the bank’s data analytics strategy to drive business growth and customer experience
- Lead experiment with alternative data sources to improve credit scoring and financial inclusions.
- Develop predictive models and AI driven insights to enhance customer engagement, risk management, and revenue optimization
- Partner with business leaders across banking, risk, product and operations to translate data into commercial impact
- Stay ahead of industry trends in open banking, embedded finance and fintech innovation
- Lead the design and implementation of dashboards and reports to provide real time, actionable insights
- Proven experience in data analytics, data science or business intelligence, with at least 8 years in leadership roles
- Excellence in managing senior stakeholders and has ability to communicate complex data insights to non technical audiences
- Strong leadership in building and scaling cross-functional data teams.
- Ability to align data strategies with business goals and risk/ regulatory compliance
- Strong knowledge of cloud-based data platforms, big data technologies, and AI/ML frameworks.
- Deep understanding of customer segmentation, risk modelling, fraud analytics
- Experience with real time data processing, APIs, and automation
- Track record in building capabilities in Artificial Intelligence, Machine Learning, Real Time Analytics to personalize banking solutions
- Seniority level Executive
- Employment type Full-time
- Job function Information Technology
Referrals increase your chances of interviewing at GXS Bank by 2x
Sign in to set job alerts for “Head of Solutions” roles. Head of Sales, Talent Solutions (Staffing) VP/SVP, Product Manager (Equities), Technology Group 16491 Assistant Director (Members Solutions & Engagement) APAC Head of Technical Product & Engineering Management Head of Software Engineering & Architecture Senior Director, AI Engineering | SGD 250K - 320K / annum | GenAI | Buy-side | Based in HK VP/SVP, Product Manager (Trading Analytics), Technology Group 16426 Vice President, Product Management & Client Services, Wealth Management Solutions, APAC Principal, Head of Private Markets & Investor Solutions Head of Account Management, Fitch Solutions, Singapore VP/SVP, Product Manager (Fixed Income), Technology Group 16518 Executive Director Structured Solutions (Singapore, UK) Deals – Strategic Solutions and Turnaround Group (SSTG), Director VP/SVP, Product Manager (Investment Performance Analytics), Technology Group 16198 Director, Development Operations - Apparel (The North Face) Client Services Director, Enterprise Solutions Asia Associate Director, Institutional Client Group Head, Product Management, AI Products, S&S CoE Head of Global Client Group (Distribution), Asia ex-JapanWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-LjbffrHead, Data Solutions & AI
Posted today
Job Viewed
Job Description
Join to apply for the Head, Data Solutions & AI role at GXS Bank
Join to apply for the Head, Data Solutions & AI role at GXS Bank
Direct message the job poster from GXS Bank
IHRP-SP | Director, Head of Talent | Workforce Planning, Leadership Recruiting, Talent Program Management
At GXS, we are a digital bank on a mission to make banking better for Singapore’s everyday consumers and small businesses.
As the Head of Data Solutions & AI, you will play a crucial role in sharing GXS’s data driven strategy.
Reporting to the Chief Data Officer, you will lead a team of talented and high performing Data Scientists, Analysts, AI, and MLOps professionals, to drive actionable insights, enhance decision making and power innovative digital banking solutions.
This role requires a data leader with deep experience in the financial services or banking industry, who understands the complexities of banking data, risk, compliance and customer analytics. Beyond technical expertise, you must be a business centric leader, someone who can translate data into strategic business opportunities, drive commercial impact, and work closely with business leaders to enhance decision making.
You will be to balance data-driven innovation with regulatory compliance, ensuring advanced analytics, AI and machine learning solutions contribute to business growth while maintaining a high standard of governance and security.
Key responsibilities:
- Develop and execute the AI and data science roadmap and strategy aligned with the bank's overall vision and business goals, while articulating the bank-wide value proposition of AI
- Define and execute the bank’s data analytics strategy to drive business growth and customer experience
- Lead experiment with alternative data sources to improve credit scoring and financial inclusions.
- Develop predictive models and AI driven insights to enhance customer engagement, risk management, and revenue optimization
- Partner with business leaders across banking, risk, product and operations to translate data into commercial impact
- Stay ahead of industry trends in open banking, embedded finance and fintech innovation
- Lead the design and implementation of dashboards and reports to provide real time, actionable insights
- Proven experience in data analytics, data science or business intelligence, with at least 8 years in leadership roles
- Excellence in managing senior stakeholders and has ability to communicate complex data insights to non technical audiences
- Strong leadership in building and scaling cross-functional data teams.
- Ability to align data strategies with business goals and risk/ regulatory compliance
- Strong knowledge of cloud-based data platforms, big data technologies, and AI/ML frameworks.
- Deep understanding of customer segmentation, risk modelling, fraud analytics
- Experience with real time data processing, APIs, and automation
- Track record in building capabilities in Artificial Intelligence, Machine Learning, Real Time Analytics to personalize banking solutions
Seniority level
Seniority level
Executive
Employment type
Employment type
Full-time
Job function
Job function
Information Technology
Referrals increase your chances of interviewing at GXS Bank by 2x
Sign in to set job alerts for “Head of Solutions” roles.
Head of Sales, Talent Solutions (Staffing)
VP/SVP, Product Manager (Equities), Technology Group 16491
Assistant Director (Members Solutions & Engagement)
APAC Head of Technical Product & Engineering Management
Head of Software Engineering & Architecture
Senior Director, AI Engineering | SGD 250K - 320K / annum | GenAI | Buy-side | Based in HK
VP/SVP, Product Manager (Trading Analytics), Technology Group 16426
Vice President, Product Management & Client Services, Wealth Management Solutions, APAC
Principal, Head of Private Markets & Investor Solutions
Head of Account Management, Fitch Solutions, Singapore
VP/SVP, Product Manager (Fixed Income), Technology Group 16518
Executive Director Structured Solutions (Singapore, UK)
Deals – Strategic Solutions and Turnaround Group (SSTG), Director
VP/SVP, Product Manager (Investment Performance Analytics), Technology Group 16198
Director, Development Operations - Apparel (The North Face)
Client Services Director, Enterprise Solutions Asia
Associate Director, Institutional Client Group
Head, Product Management, AI Products, S&S CoE
Head of Global Client Group (Distribution), Asia ex-Japan
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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AI Data Solutions Architect
Posted today
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Senior AI Business Engineer
We are seeking a highly experienced leader to spearhead the development of cutting-edge data and analytics solutions.
- Design and architect scalable data and analytics research and development activities in artificial intelligence, ensuring security and performance.
- Lead technical strategy and implementation of enterprise-wide intelligence platforms.
- Develop AI/ML solutions using SAP's AI suite of products.
The ideal candidate will have extensive experience in cloud architecture, data engineering, business intelligence, knowledge graphs, and AI solutions, with a proven track record of delivering complex technical solutions for large-scale organizations.
Key Responsibilities:
- Artificial Intelligence : Design and implement AI-powered solutions to drive business growth and innovation.
- Data Engineering : Develop and maintain large-scale data systems, ensuring scalability, security, and performance.
- Business Intelligence : Lead the development of business intelligence solutions, providing actionable insights to stakeholders.
Requirements:
- Cloud Architecture : Experience with cloud-based technologies, including AWS, Azure, or Google Cloud.
- Programming Skills : Proficiency in programming languages such as Java, Python, or C++.
- Database Management : Experience with database management systems, including relational and NoSQL databases.
Benefits:
This role offers a competitive salary, comprehensive benefits package, and opportunities for professional growth and development.
Senior Data Solutions Architect
Posted today
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Job Description
We are seeking a highly skilled and experienced Senior Data/AI Platform Engineer to join our team. The ideal candidate will have a strong background in data engineering, with expertise in designing and implementing batch and streaming data ingestion pipelines from diverse sources.
Key responsibilities include developing real-time and near-real-time data workflows using tools like Apache Flink, Kafka Streams, and optimizing performance for high-volume and high-velocity datasets.
The successful candidate will also be responsible for implementing data quality checks and automatic monitoring systems to ensure consistently accurate and available data.
In addition, they will design and manage storage solutions such as Microsoft Fabric, Delta Lake, and Databricks, and implement data virtualization layers to centralize visibility and control of data across diverse sources.
The role requires a deep understanding of schema design, partitioning, and data lifecycle management, as well as experience working with data lake and/or lakehouse architectures.
A bachelor or master's degree in Computer Science, Engineering, or a related field is required, along with at least 5 years of experience in data engineering and 1 year in a leadership or senior technical role delivering data engineering projects.
Required skills include proficiency in Python and SQL, familiarity with data virtualization tools and architecture, and experience working with workflow orchestration and CI/CD principles.
Strong communication and documentation skills are essential, as the successful candidate will be required to work independently and collaboratively in a dynamic environment.
Scalable Data Solutions Architect
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Job Overview:
An experienced AI Data Engineer is sought after to lead the design and implementation of scalable data solutions for large-scale AI/ML projects and complex data engineering initiatives. This role involves building, maintaining, and optimizing robust data pipelines and ETL frameworks using cutting-edge technologies like Spark (Java/Scala/PySpark).
Key Responsibilities:
- Design and develop scalable data solutions tailored for large-scale AI/ML projects.
- Build, maintain, and optimize robust data pipelines and ETL frameworks using Spark (Java/Scala/PySpark).
- Identify and resolve system performance issues and data processing bottlenecks in distributed data environments.
- Champion best practices for code quality, data reliability, and workflow orchestration.
- Provide technical guidance and mentorship to team members, actively participating in code reviews and design discussions.
Requirements:
- Experience in designing, building, and maintaining end-to-end feature engineering pipelines that operationalize data for AI/ML model training and real-time inference.
- Strong programming skills in Python, Java, and Scala with deep expertise in Spark for processing and transforming structured and semi-structured data for AI/ML.
- Hands-on expertise with cloud-native data ecosystems on platforms like AWS, Azure, or GCP, including experience with modern data lake and data warehousing solutions.
- Deep understanding of modern data lake, data warehouse, and feature store architectures, ability to design performant data models and serving layers optimized for AI/ML model consumption.
- Experience with Spark performance tuning and job optimization for large-scale distributed data processing, familiarity with MLOps practices for pipeline orchestration, monitoring, and deployment.
Desirable Skills:
- Proficiency in scripting languages such as Bash, Python, and Perl for automation and monitoring of data jobs.
- Strong knowledge of Linux/Unix systems administration, including services management, cron scheduling, memory/process debugging, and system performance tuning.
- Experience with data orchestration tools like Apache Airflow, Apache Nifi, Control-M, or Oozie for workflow management.
- Familiarity with CI/CD pipelines, Git, Jenkins, and automated deployment strategies for big data and Spark jobs.
- Exposure to containerization and orchestration platforms like Docker and Kubernetes for deploying data services.
- Working knowledge of monitoring and logging tools such as Clouder Manager, Grafana, Prometheus, ELK Stack, or Splunk for proactive issue detection.