22 Data Product jobs in Malaysia

Job Responsibilities:

Responsible for company data products and infrastructure, including A/B testing platform, metrics management platform, self-service data query systems, user tagging and profiling systems, data science tools, new data management platforms, and BI platforms – product design and continuous optimization.

Job Requirements:

1. Strong sense of ownership, proactive in pursuing product and business success, enjoys challenges;
2. Solid product planning, design, and implementation skills, data-driven, with a goal- and result-oriented mindset;
3. Over 3 years of experience in product design or analysis, strong data sensitivity, research and analysis ability, capable of producing MRD, DEMO, and PRD;
4. Strong project execution and collaboration skills: able to organize cross-functional teamwork, ensure on-time project delivery, plan data product promotion and operation strategies; familiar with data technologies and can communicate effectively with engineers and assess technical risks;
5. Strong logical thinking, stress resilience, learning ability, and hands-on capabilities;
6. Proficient in SQL, familiar with metric system and data warehouse architecture; experience with metric/track management is a plus;
7. Understanding of common data products and analysis frameworks in internet industry; hands-on experience with mainstream BI tools (e.g., Tableau, PowerBI), experience in building A/B testing platforms.
8. Strong reporting and communication skills in Chinese.

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Job Description:

As a Data Product Services Engineer , you will play a key role in supporting the development, integration, and security of data platforms that power bp's enterprise applications. You'll work hands-on with architects and engineers to maintain performance, ensure resilience, and uphold compliance standards across bp's cloud and data environments. This position offers a strong foundation for expanding your platform engineering expertise while contributing to practical, enterprise-level solutions.

You'll be part of a collaborative team of engineers and product managers, working in close partnership with technology and business stakeholders to advance data initiatives that support bp's digital transformation and enhance its platform capabilities.

What You'll Deliver

• Support the configuration, integration, and maintenance of data platforms used across the enterprise.
• Assist with CI/CD pipeline implementation and Infrastructure-as-Code (IaC) to increase automation and consistency.
• Help monitor and improve the performance, availability, and reliability of cloud-based data services.
• Collaborate on core security operations, including identity access management, system monitoring, and incident remediation.
• Participate in the design and deployment of data pipelines and platform features in cloud environments.
• Contribute to technical documentation, platform testing, and continuous improvement of engineering processes.
• Help ensure data systems meet internal compliance, governance, and security standards.

What You'll Bring

Technical Qualifications

• Bachelor's degree in technology, engineering, or a related field-or equivalent hands-on experience.
• 2-4 years of experience in IT, platform engineering, or data engineering roles.
• Familiarity with CI/CD tools and Infrastructure-as-Code frameworks such as Terraform, Azure Bicep, or AWS CDK.
• Scripting experience in Python, Java, or Scala for automation and integration tasks.
• Exposure to data pipeline technologies like Apache Airflow, Spark, and Kafka.
• Knowledge of cloud environments (AWS, Azure, GCP) and cloud-native data platforms.
• Understanding of data modeling concepts, data lakes, and SQL/NoSQL databases.
• Strong collaboration skills and comfort working within structured engineering workflows.

Essential skills

• Practical experience with Azure, AWS, Databricks, and Palantir platforms.
• Knowledge of data ingestion, transformation workflows, and pipeline architecture.
• Awareness of security best practices and enterprise data governance.
• Familiarity with data visualization tools (e.g., Power BI, Tableau).
• Exposure to distributed systems and batch/real-time data processing.
• Eagerness to learn, grow, and adapt in a dynamic data engineering environment.

Preferred Skills

• Experience working in globally regulated, compliance-focused environments.
• Familiarity with AI/ML-driven data engineering approaches to enhance workflow automation and efficiency.

Why join our team?

At bp, we provide an excellent working environment and employee benefits such as an open and inclusive culture, a great work-life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others.

We support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly.

There are many aspects of our employees' lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, collaboration spaces in a modern office environment, and many others benefits.

Reinvent your career as you help our business meet the challenges of the future.

Apply now!

Travel Requirement
Negligible travel should be expected with this role

Relocation Assistance:
This role is eligible for relocation internationally

Remote Type:
This position is a hybrid of office/remote working

Skills:
Agility core practices, Agility core practices, Analytics, API and platform design, Business Analysis, Cloud Platforms, Coaching, Communication, Configuration management and release, Continuous deployment and release, Data Structures and Algorithms (Inactive), Digital Project Management, Documentation and knowledge sharing, Facilitation, Information Security, iOS and Android development, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Relational Data Modelling, Risk Management, Scripting, Service operations and resiliency, Software Design and Development, Source control and code management {+ 4 more}

Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp's recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. #J-18808-Ljbffr

Job Description:

As a

Data Product Services Engineer , you will play a key role in supporting the development, integration, and security of data platforms that power bp's enterprise applications. You'll work hands-on with architects and engineers to maintain performance, ensure resilience, and uphold compliance standards across bp's cloud and data environments. This position offers a strong foundation for expanding your platform engineering expertise while contributing to practical, enterprise-level solutions.

You'll be part of a collaborative team of engineers and product managers, working in close partnership with technology and business stakeholders to advance data initiatives that support bp's digital transformation and enhance its platform capabilities.

What You'll Deliver

Support the configuration, integration, and maintenance of data platforms used across the enterprise. Assist with CI/CD pipeline implementation and Infrastructure-as-Code (IaC) to increase automation and consistency. Help monitor and improve the performance, availability, and reliability of cloud-based data services. Collaborate on core security operations, including identity access management, system monitoring, and incident remediation. Participate in the design and deployment of data pipelines and platform features in cloud environments. Contribute to technical documentation, platform testing, and continuous improvement of engineering processes. Help ensure data systems meet internal compliance, governance, and security standards.

What You'll Bring

Technical Qualifications

Bachelor's degree in technology, engineering, or a related field-or equivalent hands-on experience. 2-4 years of experience in IT, platform engineering, or data engineering roles. Familiarity with CI/CD tools and Infrastructure-as-Code frameworks such as Terraform, Azure Bicep, or AWS CDK. Scripting experience in Python, Java, or Scala for automation and integration tasks. Exposure to data pipeline technologies like Apache Airflow, Spark, and Kafka. Knowledge of cloud environments (AWS, Azure, GCP) and cloud-native data platforms. Understanding of data modeling concepts, data lakes, and SQL/NoSQL databases. Strong collaboration skills and comfort working within structured engineering workflows.

Essential skills

Practical experience with Azure, AWS, Databricks, and Palantir platforms. Knowledge of data ingestion, transformation workflows, and pipeline architecture. Awareness of security best practices and enterprise data governance. Familiarity with data visualization tools (e.g., Power BI, Tableau). Exposure to distributed systems and batch/real-time data processing. Eagerness to learn, grow, and adapt in a dynamic data engineering environment.

Preferred Skills

Experience working in globally regulated, compliance-focused environments. Familiarity with AI/ML-driven data engineering approaches to enhance workflow automation and efficiency.

Why join our team?

At bp, we provide an excellent working environment and employee benefits such as an open and inclusive culture, a great work-life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others.

We support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly.

There are many aspects of our employees' lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, collaboration spaces in a modern office environment, and many others benefits.

Reinvent your career as you help our business meet the challenges of the future.

Apply now!

Travel Requirement Negligible travel should be expected with this role

Relocation Assistance: This role is eligible for relocation internationally

Remote Type: This position is a hybrid of office/remote working

Skills: Agility core practices, Agility core practices, Analytics, API and platform design, Business Analysis, Cloud Platforms, Coaching, Communication, Configuration management and release, Continuous deployment and release, Data Structures and Algorithms (Inactive), Digital Project Management, Documentation and knowledge sharing, Facilitation, Information Security, iOS and Android development, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Relational Data Modelling, Risk Management, Scripting, Service operations and resiliency, Software Design and Development, Source control and code management {+ 4 more}

Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp's recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. #J-18808-Ljbffr

Location

Malaysia - Kuala Lumpur

Travel required

Negligible travel should be expected with this role

Job category

Digital & technology

Relocation available

This role is not eligible for relocation

Job type

Professionals

Job code

RQ097094

Experience level

Intermediate

Job summary

Entity:

Technology

Job Family Group:

IT&S Group

Job Description:

As aSenior Data Product Services Engineer , you will play a critical role in architecting and securing bp’s enterprise data platforms. This position requires a strategic mindset and strong technical skill, as you help drive automation, system integration, and resilience across cloud-based environments. You will be collaborating with engineers, architects, and business partners to design and implement secure, scalable solutions while contributing to the long-term vision of bp’s data ecosystem.

You’ll work within a dynamic, high-performing team of engineers and product managers, collaborating closely with business and technology leaders to deliver impactful, enterprise-wide data initiatives. Your work will help shape the future of data infrastructure, security, and operational excellence at scale.

What You’ll Deliver

• Design and enhance enterprise architecture, security models, and platform services for core data systems.
• Implement end-to-end security controls across cloud data platforms, ensuring compliance with regulatory and industry standards.
• Optimize system performance, availability, and scalability to support operational excellence.
• Contribute to technology modernization efforts and integrations with enterprise IT systems.
• Develop automated tools for security monitoring, vulnerability assessments, and identity management.
• Leverage DevOps practices, CI/CD pipelines, and Infrastructure-as-Code (IaC) to streamline platform deployment and consistency.
• Support disaster recovery planning and high availability for enterprise platforms.
• Collaborate with engineering and operations teams to ensure alignment between technical solutions and business goals.
• Offer strategic guidance on platform investments, risk management, and continuous improvement initiatives.
• Partner with senior engineers to shape future-facing technical roadmaps and reduce operational complexity.

Required Skills & Experience

• Bachelor’s degree or equivalent experience in Technology, Engineering, or a related field.
• proven experience in large-scale enterprise technology, platform operations, or security engineering.
• Proficiency with CI/CD practices, DevOps workflows, and Infrastructure-as-Code tools (e.g., AWS CDK, Azure Bicep).
• Strong understanding of ITIL frameworks, Agile methodologies, and enterprise governance.
• Hands-on experience with big data technologies such as Apache Spark, Hadoop, Kafka, and Flink.
• Proficient in working with cloud platforms (AWS, Azure, GCP) and cloud-native data tools (BigQuery, Snowflake, Redshift, Databricks).
• Programming expertise in SQL, Python, or Scala, with experience in data platform engineering.
• Solid knowledge of distributed systems, data modeling, and data warehousing architecture.

Core Skills

• Experience working with Microsoft Azure, AWS, Databricks, and Palantir.
• In-depth knowledge of data ingestion pipelines, data governance, and security practices.
• Proven ability to support multi-cloud environments—balancing cost, performance, and resiliency.
• Familiarity with distributed query processing, performance tuning, and data indexing.
• Exposure to both batch and real-time data streaming architectures.

Preferred Qualifications

• Experience operating in complex, regulated enterprise environments with a focus on compliance and risk management.
• Familiarity with AI/ML-driven data workflows and automation in data engineering contexts.

Why join our team?

At bp, we provide an excellent working environment and employee benefits such as an open and inclusive culture, a great work-life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others.

We support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly.

There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, collaboration spaces in a modern office environment, and many others benefits.

Reinvent your career as you help our business meet the challenges of the future.

Apply now!

Travel Requirement

Negligible travel should be expected with this role

Relocation Assistance:

This role is not eligible for relocation

Remote Type:

This position is a hybrid of office/remote working

Skills:

Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving

Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status,neurodiversity/neurocognitivefunctioning, veteran status or disabilitystatus.Individualswith an accessibility need may request anadjustment/accommodationrelated to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request anadjustment/accommodationrelated to the recruitmentprocess,pleasecontact us .

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

#J-18808-Ljbffr

Averis Federal Territory of Kuala Lumpur, Malaysia

Data Product Owner (Finance Systems)

Averis Federal Territory of Kuala Lumpur, Malaysia

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IT & Digital Recruitment - Industry 4.0 | IoT | Data | AI | Machine Learning | RPA | Cyber Security | SAP | Infra | Cloud Computing | Mobile App

The Opportunity

Lead the digital transformation of finance operations across a $35B global manufacturing group. You'll architect and ship data products that transform how 120+ companies manage financial operations, moving from fragmented systems to a unified, real-time platform that powers critical business decisions.

Why This Role Matters

You'll transform how finance operations work across one of Southeast Asia's largest organizations. Your products will enable real-time visibility across 120+ entities, automate complex multi-company consolidations, and empower finance teams to focus on strategic analysis instead of manual processes.

Key Responsibilities

• Partner with Finance leadership to reimagine financial processes through technology
• Champion digital solutions by demonstrating value through pilots and quick wins, not enforcing compliance
• Build and launch finance modules iteratively (Reconciliation, AR/AP, Reporting)
• Navigate stakeholder resistance by making your products so useful that teams choose them over existing processes
• Bridge finance and technology teams to deliver solutions that work for both
• Transform financial operations into scalable digital products that establish patterns for enterprise-wide adoption

You're Perfect If You Have

• Experience implementing data or business intelligence initiatives or B2B data products at agriculture or manufacturing companies, with the finance teams as the end user
• Finance fluency - understand the finance domain without being trapped by traditional approaches
• Understand SAP modules (FICO/MM/BW) and ERP data structures
• Change management skills - proven ability to win over skeptical users through product-led adoption
• Builder mindset - can prototype solutions quickly while planning for enterprise scale

Nice to Have

• Curiosity about data challenges beyond finance domains
• SQL skills and experience working directly with financial data
• Background in finance transformation or finance operations at tech companies
• Experience with product costing, management reporting, or FP&A systems
• Familiarity with master data governance and change control processes

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Finance and Information Technology
• Industries Information Services and Outsourcing and Offshoring Consulting

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Location Malaysia - Kuala Lumpur Travel required Negligible travel should be expected with this role Job category Digital & technology Relocation available This role is not eligible for relocation Job type Professionals Job code RQ097094 Experience level Intermediate Job summary

Entity: Technology Job Family Group: IT&S Group Job Description: As a Senior Data Product Services Engineer , you will play a critical role in architecting and securing bp’s enterprise data platforms. This position requires a strategic mindset and strong technical skill, as you help drive automation, system integration, and resilience across cloud-based environments. You will be collaborating with engineers, architects, and business partners to design and implement secure, scalable solutions while contributing to the long-term vision of bp’s data ecosystem. You’ll work within a dynamic, high-performing team of engineers and product managers, collaborating closely with business and technology leaders to deliver impactful, enterprise-wide data initiatives. Your work will help shape the future of data infrastructure, security, and operational excellence at scale. What You’ll Deliver Design and enhance enterprise architecture, security models, and platform services for core data systems. Implement end-to-end security controls across cloud data platforms, ensuring compliance with regulatory and industry standards. Optimize system performance, availability, and scalability to support operational excellence. Contribute to technology modernization efforts and integrations with enterprise IT systems. Develop automated tools for security monitoring, vulnerability assessments, and identity management. Leverage DevOps practices, CI/CD pipelines, and Infrastructure-as-Code (IaC) to streamline platform deployment and consistency. Support disaster recovery planning and high availability for enterprise platforms. Collaborate with engineering and operations teams to ensure alignment between technical solutions and business goals. Offer strategic guidance on platform investments, risk management, and continuous improvement initiatives. Partner with senior engineers to shape future-facing technical roadmaps and reduce operational complexity. Required Skills & Experience Bachelor’s degree or equivalent experience in Technology, Engineering, or a related field. proven experience in large-scale enterprise technology, platform operations, or security engineering. Proficiency with CI/CD practices, DevOps workflows, and Infrastructure-as-Code tools (e.g., AWS CDK, Azure Bicep). Strong understanding of ITIL frameworks, Agile methodologies, and enterprise governance. Hands-on experience with big data technologies such as Apache Spark, Hadoop, Kafka, and Flink. Proficient in working with cloud platforms (AWS, Azure, GCP) and cloud-native data tools (BigQuery, Snowflake, Redshift, Databricks). Programming expertise in SQL, Python, or Scala, with experience in data platform engineering. Solid knowledge of distributed systems, data modeling, and data warehousing architecture. Core Skills Experience working with Microsoft Azure, AWS, Databricks, and Palantir. In-depth knowledge of data ingestion pipelines, data governance, and security practices. Proven ability to support multi-cloud environments—balancing cost, performance, and resiliency. Familiarity with distributed query processing, performance tuning, and data indexing. Exposure to both batch and real-time data streaming architectures. Preferred Qualifications Experience operating in complex, regulated enterprise environments with a focus on compliance and risk management. Familiarity with AI/ML-driven data workflows and automation in data engineering contexts. Why join our team? At bp, we provide an excellent working environment and employee benefits such as an open and inclusive culture, a great work-life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others. We support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, collaboration spaces in a modern office environment, and many others benefits. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status,neurodiversity/neurocognitivefunctioning, veteran status or disabilitystatus.Individualswith an accessibility need may request anadjustment/accommodationrelated to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request anadjustment/accommodationrelated to the recruitmentprocess,please contact us . If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

#J-18808-Ljbffr

This job is a Product Data Manager focused on leading AI solutions in various business areas. You might like this job because you'll shape the future of customer experience, ensuring safe and effective use of AI while collaborating with different teams to drive improvements.

We’re hiring an experienced Product & Data Manager to lead the design, delivery, and adoption of AI-based solutions and Agentic AI across Customer Service, Business Development, Sales, Operations, Compliance, Partnerships, Marketing etc. You’ll own the product strategy, cross-functional execution, risk & governance, and measurable business outcomes as we deploy autonomous and semi-autonomous AI agents to scale workflows, improve decision quality, and elevate customer experience.

Responsibilities:

• Define the product vision, roadmap and commercial use cases for AI-based solutions and agentic AI across the organisation (Customer Service, Sales, Marketing, BD, Ops, Compliance, Partnerships etc.).
• Translate business processes into safe, testable agent workflows (single-agent and multi-agent patterns), prioritizing ROI, risk and compliance.
• Lead end-to-end delivery: discovery, design, engineering sprints, integration, testing, stakeholder training, implementation and production rollout.
• Build robust guardrails: prompt and tool governance, hallucination mitigation, human-in-the-loop escalation, access controls and logging for auditability.
• Partner with Compliance, Legal, and Security to maintain data privacy, regulatory reporting and mitigation plans for agent behaviour.
• Define KPIs, A/B experiments and quantitative evaluations (cost per transaction, time to resolution, accuracy, escalation rate, NPS, false positive/negative rates) and deliver measurable improvements.
• Evangelize AI-based solutions and agent capabilities internally; run pilots, change management and skilling/reskilling programs

Job Requirements

Must have qualifications:

• 5+ years product management with 2+ years delivering AI/ML products or automation solutions (enterprise or fintech preferred).
• Demonstrated experience launching automation solutions, production AI or RPA systems end-to-end
• Strong technical fluency: API integrations, LLMs, agent frameworks (or comparable experience), observability, model evaluation etc.
• Experience working with regulated environments (payments, fintech, or healthcare) — comfortable translating regulation into product constraints.
• Excellent stakeholder management: can lead cross-functional squads (engineers, data scientists, security, compliance, customer ops).
• Data-driven mindset — comfortable with analytics, experiment design and measuring ROI.

Skills

New Product Development

Product Management

Product Knowledge

Company Benefits Medical Benefits

Inpatient & outpatient medical benefits are provided to all full time staff.

Fast Growth Startup

We provide ample opportunities for career advancement and personal growth within our dynamic environment.

Fully Stocked Pantry

Our pantry is restocked every 2 weeks to keep you fueled throughout the day. Free food yasss!

Weekly Activities

Weekly badminton, futsal and running session after work. All on house. Just come with your racket and sports gear, and let the fun begin!

Performance appraisal will be conducted twice a year.

Laptop/Desktop/Mobile Phone Provided

We provide the necessary devices for you to do the job.

MoneyMatch is a multi-national financial technology firm focusing on international payments. Our award winning digital platform has successfully executed over MYR 950 million in transactions covering cross-border trade payments and individual remittances. We've achieved such rapid success by optimizing our treasury operations with machine learning algorithms and integration with blockchain solutions for swifter.

#J-18808-Ljbffr

This job is a Product Data Manager focused on leading AI solutions in various business areas. You might like this job because you'll shape the future of customer experience, ensuring safe and effective use of AI while collaborating with different teams to drive improvements.

We’re hiring an experienced Product & Data Manager to lead the design, delivery, and adoption of AI-based solutions and Agentic AI across Customer Service, Business Development, Sales, Operations, Compliance, Partnerships, Marketing etc. You’ll own the product strategy, cross-functional execution, risk & governance, and measurable business outcomes as we deploy autonomous and semi-autonomous AI agents to scale workflows, improve decision quality, and elevate customer experience.

Responsibilities:

• Define the product vision, roadmap and commercial use cases for AI-based solutions and agentic AI across the organisation (Customer Service, Sales, Marketing, BD, Ops, Compliance, Partnerships etc.).
• Translate business processes into safe, testable agent workflows (single-agent and multi-agent patterns), prioritizing ROI, risk and compliance.
• Lead end-to-end delivery: discovery, design, engineering sprints, integration, testing, stakeholder training, implementation and production rollout.
• Build robust guardrails: prompt and tool governance, hallucination mitigation, human-in-the-loop escalation, access controls and logging for auditability.
• Partner with Compliance, Legal, and Security to maintain data privacy, regulatory reporting and mitigation plans for agent behaviour.
• Define KPIs, A/B experiments and quantitative evaluations (cost per transaction, time to resolution, accuracy, escalation rate, NPS, false positive/negative rates) and deliver measurable improvements.
• Evangelize AI-based solutions and agent capabilities internally; run pilots, change management and skilling/reskilling programs

Job Requirements

Must have qualifications:

• 5+ years product management with 2+ years delivering AI/ML products or automation solutions (enterprise or fintech preferred).
• Demonstrated experience launching automation solutions, production AI or RPA systems end-to-end
• Strong technical fluency: API integrations, LLMs, agent frameworks (or comparable experience), observability, model evaluation etc.
• Experience working with regulated environments (payments, fintech, or healthcare) — comfortable translating regulation into product constraints.
• Excellent stakeholder management: can lead cross-functional squads (engineers, data scientists, security, compliance, customer ops).
• Data-driven mindset — comfortable with analytics, experiment design and measuring ROI.

Skills

New Product Development

Product Management

Product Knowledge

Company Benefits Medical Benefits

Inpatient & outpatient medical benefits are provided to all full time staff.

Fast Growth Startup

We provide ample opportunities for career advancement and personal growth within our dynamic environment.

Fully Stocked Pantry

Our pantry is restocked every 2 weeks to keep you fueled throughout the day. Free food yasss!

Weekly Activities

Weekly badminton, futsal and running session after work. All on house. Just come with your racket and sports gear, and let the fun begin!

Performance appraisal will be conducted twice a year.

Laptop/Desktop/Mobile Phone Provided

We provide the necessary devices for you to do the job.

MoneyMatch is a multi-national financial technology firm focusing on international payments. Our award winning digital platform has successfully executed over MYR 950 million in transactions covering cross-border trade payments and individual remittances. We've achieved such rapid success by optimizing our treasury operations with machine learning algorithms and integration with blockchain solutions for swifter.

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We are looking for a data savvy individual with a product mindset to join us as a Product Data Analyst within the Product Management department. The Product Analyst will work closely with the Head of Product and Product Managers, as well as the Data team, to help sharpen the Product teams analytics and insight generation capabilities.

You are passionate about providing data-driven insights to help various stakeholders make sound business decisions that ultimately translate to business results. You are unafraid of getting your hands dirty to understand the business and are able to think strategically to use different tools to derive insights that drive user experience and growth.

If you have strong analytical skills, a curious mindset, and a strong desire to help shape impactful products, come join us.

Skills & Qualification

A self-starter with good business acumen, a strong sense of ownership, and the ability to work effectively with stakeholders across various levels

Excellent written and verbal communication skills to articulate business opportunities, data requirements, and customer problems

Outstanding analytical skills, with a proven track record of interpreting complex data sets and translating them into actionable insights and recommendations

Well-versed in SQL and have at least 1-2 years of relevant experience using SQL

Ability to use data structuring and visualisation tools, with a particular emphasis on Metabase. Familiarity with additional tools is advantageous

A degree with high grades in a relevant business discipline, e.g. Analytics, Economics, Statistics, Engineering, Mathematics, or Business

Familiarity with UIUX and app funnels

Nice to have:

Experience in business projections modeling

Experience defining and launching customer facing experiments

Responsibilities

You will be working under the guidance of the Head of Product, individual Product Managers, the Data team and other stakeholders to help provide clear product insights and produce product performance tools, trackers, and more.

Product launches: you will support with the data monitoring of beta versions and experiment definition for new products and features, working closely with PMs to communicate results and define next steps.

Post product launches: you will help with monitoring and sharing of the performance of past product launches, and suggest potential improvements.

You will perform occasional deep dive data analysis to identify potential root causes for specific types of user problems, and help with identifying growth opportunities.

You will own and maintain the Product analytics library (dashboards, frontend data events library) and product analytics related framework utilized by the departments

Event naming would be pre-vetted / revised by the Product Analyst and BI team would do final checks

DBT work (including on product related topics) will continue to be handled by BI, but open to proposals for new DBT models by the Product Analyst

You will drive product insights sessions with the different squads to help the teams evaluate current implementations and brainstorm potential iterations.

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