Shopee

AI Product Manager - Business Intelligence & Analytics

Posted: 13 hours ago

Boost Your Application

Stand out with our professional, ATS-friendly resume templates designed to get you noticed by recruiters.

Download Resume Templates

Job Description

About The TeamDrive the future of data-driven decision-making by building AI-powered analytics products that transform how our business uses data. You'll own the product roadmap for AI-enabled business intelligence, identifying high-impact opportunities and shipping solutions that measurably improve speed, quality, and cost-efficiency.Job DescriptionOwn the AI analytics roadmap – Define and execute the product strategy for AI-driven BI tools, aligned with business and data strategyIdentify and solve BI challenges – Pinpoint where AI can unlock value in reporting, self-service analytics, and process automationBuild products from concept to launch – Partner with stakeholders, data engineers, and analysts to design solutions, define requirements, and deliver on timeDrive measurable impact – Launch pilots, scale adoption, and track metrics (adoption rates, query efficiency, cost savings, time-to-insight) to prove ROIChampion AI adoption – Help teams integrate AI into daily analytics workflows and build an AI-first culture.RequirementsBachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.3-5 years product management experience, ideally in data or analytics.Experience with AI/LLM technologies, AI agents, or analytics automation, as well as familiarity with LLM orchestration frameworks.Strong BI fundamentals – Understanding of reporting systems, data modeling, and analytics platforms.Stakeholder management skills – Ability to align and influence across business, engineering, and data teams.Data-driven problem solver – Analytical mindset with proven ability to drive decisions with data.Self-starter mentality – Comfortable owning initiatives independently from ideation to launch.

Job Application Tips

  • Tailor your resume to highlight relevant experience for this position
  • Write a compelling cover letter that addresses the specific requirements
  • Research the company culture and values before applying
  • Prepare examples of your work that demonstrate your skills
  • Follow up on your application after a reasonable time period