Product Manager

Keysight Technologies Malaysia Sdn. Bhd.; Penang; On-site; MYR 90,000 - 180,000; Full time

Job summary

Keysight Technologies Malaysia Sdn. Bhd. is seeking a Product Manager to lead data-driven products, AI solutions, analytics, and digital capabilities that enhance planning, decision-making, productivity, and operational efficiency.

The role requires collaboration with Product Planning, R&D, IT, Data/AI teams to translate business needs into product requirements, drive roadmaps, and measure success with KPIs in a fast-paced tech environment.

Qualifications

• Bachelor’s degree in Data Science, Data Analytics, Engineering, Information Technology, Information Systems, Computer Science, Business Analytics, Business Information Systems, Technology Management, or related.
• 2–5 years of experience in product management, data analytics, BI, software/data solutions, digital transformation or related tech roles.
• Experience in data analysis and data-driven decision-making; translate findings into product actions.
• Familiarity with product requirements, user stories, data requirements, acceptance criteria, roadmaps; knowledge of Agile.
• Knowledge of data technologies including SQL, Power BI, Python; cloud data platforms an advantage.
• Interest in AI, GenAI, analytics, automation, or digital solutions; ability to work with technical teams.
• Strong analytical, problem-solving, and communication skills; cross-functional collaboration.
• Ability to balance business value, user needs, data insights, and technical feasibility.

Responsibilities

• Product & Portfolio Planning: define scope, roadmaps, priorities, requirements, and plans for data, AI, and digital solutions.
• Product Development & Execution: coordinate across teams; support backlog and deployment.
• Data Analysis & Insights: analyze data to identify trends and translate into product recommendations.
• AI-Enabled Product Solutions: identify AI opportunities and support deployment and adoption.
• Data & Technical Requirements: gather data rules, user stories, and acceptance criteria; ensure alignment with needs.
• Product Metrics & Analytics: define KPIs and track usage, adoption, quality, and cycle time.
• Quality Assurance & Data Validation: support testing and validation of data and AI products.
• Stakeholder Engagement & Communication: align requirements and decisions across teams.
• Product Adoption & Continuous Improvement: support launches, onboarding, feedback, and improvements.

Skills

Data analysis

Product management

Stakeholder management

Communication

Cross-functional collaboration

Agile practices

Data-driven decision making

Education

Bachelor’s degree in Data Science / Data Analytics / Engineering / IT / CS / Business Analytics

Tools

SQL

Power BI

Python

Cloud data platforms

Job description

Keysight Technologies Malaysia Sdn. Bhd. 4.6 View all jobs

Keysight is a mission-critical design enablement partner for organizations solving the world’s most complex engineering challenges. With deep engineering expertise and leading design, emulation, and test solutions, our ~16,800 employees help customers in over 100 countries accelerate innovation across communications, automotive, energy, quantum, aerospace and defense, semiconductor, and artificial intelligence markets. Learn more

At Keysight, people come together to explore new ideas, challenge what's possible, and advance the technologies defining the future. Here, you'll find opportunities to do your best work, take your career further, and thrive in an Learn more

Overview

Keysight is a mission-critical design enablement partner for organizations solving the world’s most complex engineering challenges. With deep engineering expertise and leading design, emulation, and test solutions, our ~16,800 employees help customers in over 100 countries accelerate innovation across communications, automotive, energy, quantum, aerospace and defense, semiconductor, and artificial intelligence markets. Learn more

At Keysight, people come together to explore new ideas, challenge what's possible, and advance the technologies defining the future. Here, you'll find opportunities to do your best work, take your career further, and thrive in an Learn more

Responsibilities

Role Overview

• The Product Manager supports the development and delivery of data-driven products, AI solutions, analytics, and digital capabilities that improve planning, decision-making, productivity, and operational efficiency.
• The role combines product management, data analysis, business understanding, and technical knowledge to translate business needs and data insights into product requirements and practical digital solutions.
• The successful candidate will work cross-functionally with Product Planning, R&D, Business Engineering, Data/AI teams, and IT to support product development from requirements gathering and analysis through testing, deployment, adoption, and continuous improvement.

Key Responsibilities

• Product & Portfolio Planning: Support product scope, roadmaps, priorities, requirements, and implementation plans for data, AI, and digital solutions, ensuring alignment with business objectives and user needs.
• Product Development & Execution: Coordinate product development across Product Planning, R&D, Business Engineering, IT, Data, and AI teams; support requirements definition, backlog prioritization, development, testing, deployment, and continuous improvement.
• Data Analysis & Insights: Analyze business, product, and operational data to identify trends, patterns, gaps, and improvement opportunities; translate findings into actionable insights and product recommendations.
• AI-Enabled Product Solutions: Identify and evaluate AI, GenAI, analytics, automation, and digital opportunities that improve planning, decision-making, and productivity; support solutions from concept and proof-of-concept through deployment and adoption.
• Data & Technical Requirements: Gather and document data requirements, business rules, user stories, system requirements and acceptance criteria; collaborate with technical teams to ensure solutions address business and user needs.
• Product Metrics & Analytics: Define and track product KPIs, including usage, adoption, quality, productivity, cycle time, and user feedback; leverage performance data to identify opportunities for product enhancement.
• Quality Assurance & Data Validation: Support functional testing, data validation, user acceptance testing, and solution reviews to ensure data, AI, and digital products meet defined requirements and quality expectations.
• Stakeholder Engagement & Communication: Work with business and technical stakeholders to understand requirements, communicate product updates, document decisions, and build alignment across cross-functional teams.
• Product Adoption & Continuous Improvement: Support product launches, user onboarding, training, feedback collection, usage analysis, and continuous improvement to increase adoption and business value.

Qualifications

Qualifications

• Bachelor’s degree in Data Science, Data Analytics, Engineering, Information Technology, Information Systems, Computer Science, Business Analytics, Business Information Systems, Technology Management, Business Technology, or a related discipline.

• Minimum of 2–5 years of relevant experience in product management, data analytics, business intelligence, software/data solutions, digital transformation, or related technology roles, preferably within a technology organization.
• Experience in data analysis and data-driven decision-making, with the ability to analyze datasets, identify trends and patterns, develop insights, and translate findings into product recommendations and business actions.
• Familiarity with product requirements, user stories, business rules, data requirements, acceptance criteria, and product roadmaps, with an understanding of Agile product development and the software development lifecycle.
• Working knowledge of data technologies and software/data concepts, including data visualization, databases, data models, data pipelines, and system integration. Experience with SQL, Power BI, Python, cloud data platforms, or comparable technologies is an advantage.
• Exposure to or strong interest in AI, machine learning, GenAI, analytics, automation, or digital solutions, with the ability to work effectively with technical teams to support solution development and deployment.
• Strong analytical, problem-solving, and critical-thinking skills, with the ability to translate business needs and technical information into clear, practical solutions.
• Strong stakeholder management and communication skills, with the ability to collaborate across business, engineering, data, AI, and other cross-functional teams and communicate effectively with technical and non-technical audiences.
• Ability to balance business value, user needs, data insights, technical feasibility, and attention to detail, while operating effectively in a fast-paced and evolving technology environment.
• Agile, Scrum, Lean, Six Sigma, data analytics, AI, or cloud-related certification is an added advantage.

Why This Role Matters

• This role sits at the intersection of product management, data, technology, and digital transformation, turning business needs and data insights into practical digital solutions that deliver measurable business value.

• By supporting data-driven product decisions, cross-functional collaboration, and continuous improvement, this role helps deliver solutions that enhance user experience, improve productivity, and accelerate the adoption of AI and digital capabilities across the organization.

***Keysight is an Equal Opportunity Employer.***