Lead Design Insights & Validation Research

Hewlett Packard Co.

Singapore

On-site

SGD 120,000 - 180,000

Full time

3 days ago
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Job summary

HP Singapore is seeking a Design Insights & Validation Research Lead to steer end-to-end research from problem framing to insight delivery across product experiences. You will design and run qualitative and quantitative studies, synthesize findings into clear recommendations, and collaborate with Design, Product, Engineering, and Business partners to shape decisions.

In this role, you will contribute to scalable research practices, explore AI-assisted workflows, and communicate insights through

Qualifications

  • Experience leading end-to-end UX research projects.
  • Ability to design and execute qualitative and quantitative studies.
  • Strong synthesis and storytelling to inform product decisions.
  • Collaborates with cross-functional teams across Design, Product, Engineering, and Business.

Responsibilities

  • Lead end-to-end research initiatives across projects and workstreams.
  • Design, execute, and analyze qualitative and quantitative studies.
  • Synthesize findings into actionable insights for product and experience decisions.
  • Collaborate with Design, Product, Engineering, and Business teams to align objectives.
  • Develop and improve research frameworks, tools, templates, and best practices.

Skills

UX research
Qualitative methods
Quantitative methods
Stakeholder collaboration
Storytelling

Education

Bachelor's or Master's in Human Factors, Psychology, Social Sciences, HCI, Design Research

Tools

UserTesting
Suzy
Qualtrics
AI-assisted research tools

Job description

HP Singapore is seeking a Design Insights & Validation Research Lead to steer end-to-end research from problem framing to insight delivery across product experiences. You will design and run qualitative and quantitative studies, synthesize findings into clear recommendations, and collaborate with Design, Product, Engineering, and Business partners to shape decisions.

In this role, you will contribute to scalable research practices, explore AI-assisted workflows, and communicate insights through

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