Strategic Data Product Manager - AI & Analytics Impact

Dyson; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Dyson is seeking a Data Product Manager to define the strategy and roadmap for data-driven assets and AI-enabled products in Singapore. You will collaborate with business and technical stakeholders to set priorities and oversee delivery.

The role requires a strong analytical mindset, experience with data platforms, SQL, and AI/ML workflows, and the ability to translate complex requirements into actionable features for cross-functional teams.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related STEM field.
• Minimum 7 years' experience in product or technical project management related to AI, data analytics, data management, or business intelligence.
• Proficient in SQL and knowledge of data processing, architecture and modern data platforms.
• Working experience with Data Science applications and AI/ML workflows.

Responsibilities

• Develop a deep understanding of business goals to inform delivery priorities and recommendations.
• Communicate with business stakeholders to shape requirements and translate them into actionable features.
• Define and execute product roadmaps that drive measurable business outcomes and plan resources.
• Collaborate with technical teams to ensure timely delivery of high-quality data products and solutions.
• Monitor post-launch performance, adoption, and iterate to maximize business impact.
• Advocate for best practices in AI/ML, data governance, and user experience.
• Track emerging data/AI technology and industry trends to inform product execution.

Skills

Product management

SQL

AI/ML workflows

Data platforms

Stakeholder collaboration

Education

Bachelor's degree in Computer Science, Information Technology, or related STEM field

Job description

Dyson is seeking a Data Product Manager to define the strategy and roadmap for data-driven assets and AI-enabled products in Singapore. You will collaborate with business and technical stakeholders to set priorities and oversee delivery.

The role requires a strong analytical mindset, experience with data platforms, SQL, and AI/ML workflows, and the ability to translate complex requirements into actionable features for cross-functional teams.