AI Product Manager - Business Intelligence & Analytics
Shopee
Tanggal: 1 minggu yang lalu
Kota: Pekerjaan jarak jauh, Pekerjaan jarak jauh
Jenis kontrak: Penuh waktu
Jarak jauh
About The Team
Drive 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 Description
Drive 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 Description
- Own the AI analytics roadmap – Define and execute the product strategy for AI-driven BI tools, aligned with business and data strategy
- Identify and solve BI challenges – Pinpoint where AI can unlock value in reporting, self-service analytics, and process automation
- Build products from concept to launch – Partner with stakeholders, data engineers, and analysts to design solutions, define requirements, and deliver on time
- Drive measurable impact – Launch pilots, scale adoption, and track metrics (adoption rates, query efficiency, cost savings, time-to-insight) to prove ROI
- Champion AI adoption – Help teams integrate AI into daily analytics workflows and build an AI-first culture.
- Bachelor’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.
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