This is a senior individual-contributor program management role requiring the candidate to define, launch, and scale programs independently, influence senior stakeholders without direct authority, and represent TR inbound readiness in leadership-level reviews (MBRs, SSOPs, Peak Summit, Leadership review cycles).
Key job responsibilities
• Own end-to-end short-term and long-term planning, forecasting, and capacity management for TR Inbound Supply Chain operations, executing both Business-As-Usual (BAU) and Peak event readiness
• Lead Monthly MBRs, driving structured discussions with Operations and Business to align on targets, risks, and mitigations
• Own business accountability for forecast accuracy metrics — driving root-cause analysis and corrective action when actuals deviate from plan, and building forward-looking guardrails to catch deviations earlier
• Drive tactical execution and mid-cycle course-correction mechanisms to ensure inbound actuals trend closer to plan forecast, particularly through peak and event windows
• Lead deal ASIN-level inventory ramp-up planning for promotional and peak events, ensuring inventory availability is synchronized with demand and vendor capacity
• Own vendor experience for inbound — including capacity commitments, delivery compliance, and operational management, escalating and resolving systemic vendor risks
• Own seller experience metrics tied to inbound flow, ensuring seller-facing SLAs and visibility are maintained through planning and execution
• Own delivery experience across the inbound network, spanning pre-delivery experience metrics (e.g., appointment scheduling, on-time arrivals, dock readiness) and post-delivery experience metrics (e.g., receive SLA, discrepancy resolution)
• Identify and drive cost optimization initiatives across inbound operations, partnering with Finance to quantify, prioritize, and track savings
• Contribute to VBI programs, Business MBRs, and Event Learning Reviews, translating insights into measurable, owner-assigned actions
• Support S&OP alignment by synchronizing inbound and capacity inputs across TR, adopting and adapting best practices from the broader ROW network
• Identify process gaps and design scalable, proactive issue-resolution mechanisms rather than reactive escalation
• Identify and document technical and data requirements for TR planning workflows; partner with SCOT, SHARP, and other technology teams to onboard planning capabilities and automation features
• Support network design and planning inputs for OP1/OP2/3YF long-range planning cycles
• Gather requirements and conceptualize inbound network solutions and supply chain models; make optimal trade-offs between schedule, resources, scope, and cost
• Work cross-functionally to remove blockers and launch new programs; manage technical integration touchpoints across retail, fulfillment, transportation, and finance technologies
• Set up end-to-end operational and financial performance measurement processes to track program impact against forecast, cost, and experience metrics
Basic qualifications
- 6+ years of experience in Supply Chain Planning, Network Design, Program/Project Management, or Operations Strategy within a large-scale or multi-country fulfillment environment- Proven track record independently owning and delivering ambiguous, cross-functional programs with measurable business impact
- Strong analytical skills with proficiency in Excel, SQL, and Tableau
- Strong business acumen, including the ability to calculate high-level ROI and partner with finance on cost-benefit analysis
- Excellent written and oral communication skills, with experience presenting to senior leadership
- Data-driven decision-making ability and comfort operating with significant ambiguity
- Self-starter who can function independently with limited guidance
- Bachelor's Degree in Engineering, Logistics, Supply Chain, or a similar field
Preferred qualifications
- Master's Degree in Supply Chain Management, Business Administration (MBA), Industrial Engineering, Operations Research, or a related field- Proficiency in Python for data analysis and automation
- Experience with machine learning, AI applications, or advanced business analytics
- Demonstrated ownership driving standardization across multi-country or multi-node networks
- Ability to break down complex problems into manageable components with a logical, step-by-step approach
- Experience with process design, process analysis, and mechanism-building
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