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.
