Recovery AI & Automation PMO (SPX)

Shopee; Indonesia; On-site; IDR 360,000,000 - 480,000,000; Full time

Job summary

Shopee is hiring for an AI & Automation Delivery role in Indonesia. You will drive the AI/automation roadmap from idea to live, turning operational pain points into concrete requirements for Product and Tech while collaborating across teams.

You will build dashboards to quantify impact, track accuracy and time savings, and report outcomes to stakeholders. Ideal candidates have 1–3 years in related fields and hands-on AI tooling experience.

Qualifications

• Bachelor's degree in Computer Science, Data Analytics, Industrial Engineering, Business or related field.
• 1-3 years of experience in project or program management, product operations, data analytics, or process automation, ideally in logistics or e-commerce.
• Hands-on experience using AI tools (e.g. LLM prompting, AI-assisted workflows) to solve real operational problems.
• Strong analytical skills, with proficiency in Excel/Google Sheets and working knowledge of SQL or a BI tool.
• Ability to turn operational pain points into clear requirements, user stories, and test cases for Product/Tech.
• Strong communication and stakeholder management, from ground Ops to Product and Tech.
• Structured, self-driven, and comfortable with ambiguity and cross-functional work in a fast-paced environment.

Responsibilities

• Drive the team's AI and automation roadmap from idea to pilot to live, with milestones and owners.
• Review processes step by step to identify how AI/automation can improve speed, accuracy, and productivity.
• Scale and continuously improve existing AI solutions, tracking quality and adoption.
• Turn operational pain points into clear requirements, user stories, and test cases for Product and Tech.
• Support the build, testing, and rollout of new systems and features, tracking issues to resolution.
• Build dashboards and analyses to track progress, accuracy, and business impact of initiatives.
• Quantify benefits (time saved, costs reduced, recovery improved) and report to stakeholders.

Skills

Project management

Product operations

Data analytics

Process automation

Stakeholder management

Communication

Education

Bachelor's degree in Computer Science, Data Analytics, Industrial Engineering, Business

Tools

SQL

BI tools

Excel/Google Sheets

Job description

Job Description:

AI & Automation Delivery

• Drive the team's AI and automation roadmap, taking use cases from idea to pilot to live, with clear milestones and owners.
• Review current processes step by step to find where AI and automation can improve speed, accuracy, and productivity.
• Scale and continuously improve existing AI solutions, tracking quality and adoption.

Product & Tech Collaboration

• Turn operational pain points into clear requirements, user stories, and test cases for Product and Tech.
• Support the build, testing, and rollout of new systems and features, and track issues through to resolution.

Data & Impact Tracking

• Build dashboards and analyses to track the progress, accuracy, and business impact of each initiative.
• Quantify the benefits of each project (time saved, manpower freed up, cost reduced, recovery improved) and report them to stakeholders.
• Turn data into insights that help the team prevent issues upstream, not just resolve them.

Requirements:

Must-have

• Bachelor's degree in Computer Science, Data Analytics, Industrial Engineering, Business, or a related field.
• 1-3 years of experience in project or program management, product operations, data analytics, or process automation, ideally in logistics or e-commerce.
• Hands-on experience using AI tools (e.g. LLM prompting, AI-assisted workflows) to solve real operational problems.
• Strong analytical skills, with proficiency in Excel/Google Sheets and working knowledge of SQL or a BI tool.
• Ability to turn operational pain points into clear requirements, user stories, and test cases for Product/Tech.
• Strong communication and stakeholder management, from ground Ops to Product and Tech.
• Structured, self-driven, and comfortable with ambiguity and cross-functional work in a fast-paced environment.

Nice-to-have

• Basic Python or scripting skills, or experience with low-code/no-code automation tools.
• Familiarity with APIs, OCR/computer vision, or how ML models are evaluated (accuracy, false positives).
• Experience with system rollouts or UAT for internal workflow or case management tools.
• Exposure in logistics field.