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AI Business Analyst

AI Business Analyst

tap growth ai
  • Posted 7 months ago
  • Be among the first 10 applicants

Job Description

We're Hiring: AI Business Analyst!

We are looking for an experienced AI Business Analyst to join our dynamic team in Kuala Lumpur. The ideal candidate will possess a strong analytical mindset, combined with expertise in artificial intelligence technologies and business strategy. You will play a key role in driving data-driven decisions that enhance operational efficiency and support business objectives.

Key Responsibilities

  • Analyze and document current business processes; identify opportunities for AI and Gen AI integration to drive efficiency and automation.

  • Work with business stakeholders to elicit, validate, and document requirements and user stories.

  • Translate business needs into functional and technical specifications for AI-driven solutions.

  • Partner with data science, engineering, and product teams to shape AI solution design and ensure alignment with business goals.

  • Support POCs, pilots, and rollout of AI/Gen AI initiatives across insurance operations.

  • Facilitate workshops, requirement-gathering sessions, and process walkthroughs.

  • Conduct impact assessments, gap analyses, and process redesign where necessary.

  • Support UAT planning, execution, and user readiness for AI or automation-driven implementations.

  • Track AI solution performance post-launch and identify opportunities for continuous improvement.

Required Skills & Experience

  • 7–10 years of experience as a Business Analyst / Process Analyst.

  • Strong domain knowledge in Insurance(e.g., policy, claims, operations).

  • Practical experience in AI or Gen AI–enabled projects, automation, or digital transformation.

  • Strong capability in mapping, analyzing, and optimizing business processes.

  • Expertise in writing clear and detailed user stories, requirements documents, and process flows.

  • Solid techno-functional understanding; able to work closely with both business and technical teams.

  • Familiarity with Agile methodologies (Scrum, Kanban).

  • Excellent communication, stakeholder management, and documentation skills.

Nice to Have

  • Experience with workflow automation, RPA, or low-code/no-code platforms.

  • Exposure to machine learning, NLP, or AI model lifecycle concepts.

  • Certifications such as CBAP, Lean Six Sigma, or Agile Product Owner.

Ready to make an impact Apply now and let's innovate together!

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