Product Owner (AI Trade Planning), Digital Venture job opportunity at Makro PRO.

Home Jobs In Thailand Tag: Digital Venture Product Owner (AI Trade Planning), Digital Venture position at Makro PRO


Date2025-10-22T09:01:26.078Z bot
Makro PRO Product Owner (AI Trade Planning), Digital Venture
Experience: 6-years
Pattern: Full-time
Country:
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Status:

Digital Venture

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loacation Bangkok, Thailand
loacation Bangkok....Thailand

The Product Owner – AI Trade Planning will be responsible for defining and delivering products that automate campaign and assortment planning. The ideal candidate will have a strong foundation in machine learning concepts, data-driven decision-making, and product strategy, coupled with a deep understanding of e-commerce merchandising and campaign workflows. This role requires a unique blend of business acumen and technical understanding - someone who can work with campaign planners and data scientists to build tools to automate manual campaign setup with intelligent automation. Key Responsibilities Product Strategy & Vision Define the roadmap for AI/ML-based trade planning and campaign automation tools Translate campaign team workflows into scalable, data-driven systems for SKU and collection selection Identify and prioritize opportunities for automation and personalization using machine learning Collaboration & Execution Partner with data science, engineering, and campaign teams to design, test, and deploy AI-based solutions for trade planning. Work with AI/ML teams to conceptualize models that optimize product inclusion, campaign timing, and personalization. Collaborate with marketing, merchandising, and analytics stakeholders to align system outputs with business goals. Product Design & Delivery Define product requirements, user stories, and acceptance criteria for automation tools. Oversee prototype development, pilot programs, and scaling of ML-driven trade planning systems. Evaluate and iterate on product performance using measurable success metrics (e.g., revenue uplift, manual effort reduction, personalization accuracy). Data & Insights Leverage historical campaign data, user behavior, and product performance to inform model design and prioritization. Analyze results and create data-driven business presentations for leadership review. Serve as the business liaison for AI/ML initiatives - interpreting model outcomes for non-technical stakeholders. Change Management Drive adoption of AI-led trade planning among campaign teams through clear communication, documentation, and training. Work cross-functionally to ensure smooth integration of AI solutions into existing workflows and planning cycles. Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or similar quantitative discipline. Experience: 3 - 6 years of experience in Product Management, Data Product Management, or E-commerce Operations Prior experience working on AI/ML-enabled products, personalization, or recommendation systems is highly desirable. Strong understanding of: Campaign planning, merchandising, or trade promotions in e-commerce ML concepts such as clustering, classification, ranking, and recommendation engines (familiarity, not coding-level expertise) Data analytics tools (SQL, Mixpanel, Power BI, or equivalent) Skills: Ability to translate complex technical ideas into practical business applications. Strong analytical and quantitative problem-solving skills. Proficiency in preparing structured, high-quality business presentations. Excellent stakeholder management and communication abilities. Comfortable working with data scientists, engineers, and marketing stakeholders simultaneously. Preferred Attributes Prior experience in retail or e-commerce product management. Exposure to campaign automation, personalization engines, or AI recommendation systems. Demonstrated ability to deliver products that reduced manual workflows through automation. Curiosity and aptitude for learning new AI tools and technologies.

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