Lead Researcher

JAPFA LTD.


Date: 1 week ago
Area: Singapore, Singapore
Salary: SGD 4,500 - SGD 7,000 per month
Contract type: Full time

Job description

  • Internal Division Alignment (Conduct deep-dive interviews and workshops to uncover divisional pain points. Consolidate feedback into clear, prioritized problem statements.)
  • Hypothesis Framing & Validation (Translate business needs into testable digital-solution hypotheses. Design low-fidelity experiments (surveys, mockups, data queries) to validate assumptions.)
  • Co-Development with Solution Architect (Work closely with the Solution Architect to scope technical feasibility. Align technical prototypes to validated business hypotheses and KPIs.)
  • R&D Roadmapping & Agile Research Ops (Maintain a rolling 6–12 month research roadmap with clear milestones. Establish agile rituals (backlog grooming, sprint planning) for small research team.)
  • Change-Management & Adoption Planning (Identify organizational barriers; co-design adoption workshops and training. Develop lightweight playbooks for divisions to pilot and scale solutions.)

Mentorship & Knowledge Sharing (Mentor junior analysts and business-research interns. Lead “innovation play” sessions to propagate best practices.)



Educational Background:

Bachelor’s degree (or higher) in Business Research, Innovation Management or a closely related discipline.

    Professional Experience:

    • 3+ years in business research, product strategy, or innovation roles—ideally in digital‐product environments.
    • Demonstrated track record of framing problem statements, running hypothesis‐driven experiments, and hand-off to development teams.
    • Exposure to agrifood, manufacturing, or related industries is highly desirable

    Methodological Proficiency:

    • Design Thinking, Lean Startup, and Agile research frameworks (including sprint ceremonies, backlog management, and metrics).
    • Quantitative and qualitative research methods (workshops, surveys, user interviews, data analysis)

    Technical Literacy:

    • Comfortable interpreting data-analytics outputs (SQL, Python/R basics, BI tools).
    • Familiarity with emerging technologies (IoT, machine learning fundamentals, cloud platforms).
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