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Senior Manager, Supply Chain Planning & Analytics (eCommerce brand)
Senior Manager, Supply Chain Planning & Analytics (eCommerce brand)Hoxton Circle • New York, NY, US
Senior Manager, Supply Chain Planning & Analytics (eCommerce brand)

Senior Manager, Supply Chain Planning & Analytics (eCommerce brand)

Hoxton Circle • New York, NY, US
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  • [job_card.full_time]
[job_card.job_description]

Hybrid Role

Senior Manager, Supply Chain Planning & Analytics eCommerce Industry

Join a dynamic eCommerce company as a Senior Manager, Supply Chain Planning & Analytics where you'll lead forecasting, inventory planning, and business analytics initiatives.

This high-impact role sits at the intersection of operations, finance, and merchandising

  • acting as a trusted advisor to senior leadership and orchestrating the evolution of our planning capabilities in an increasingly digital landscape.

In this role, you will oversee executive-level planning deliverables, lead a high-performing analytics team, champion digital transformation initiatives, and drive the integration of AI / ML capabilities into our planning processes.

This is a leadership role where you'll oversee a team of 3.

Key Responsibilities

Strategic Planning & Forecasting

  • Lead Demand and Inventory Fulfilment Planning within the S&OP (Sales & Operations Planning) process across departments, integrating data driven drivers and business insights into cohesive business strategies
  • Develop rolling forecasts (weekly, monthly, quarterly) using advanced statistical methods and AI / ML models to achieve >

    • 85% forecast accuracy

  • Design scenario planning frameworks for supply chain disruptions, incorporating risk assessments and mitigation strategies
  • Partner cross-functionally with merchandising, finance, operations, manufacturing, and commercial teams to align business plans with revenue targets and margin goals
  • Lead inventory optimization strategies balancing service levels with working capital efficiency across our global distribution network
  • Manage seasonal collection planning and limited edition releases unique to luxury markets

    • Advanced Analytics & Business Intelligence

  • Translate complex data into executive-ready insights, delivering strategic recommendations to C-suite leadership
  • Build and maintain real-time dashboards tracking KPIs across sales performance, inventory health, forecast accuracy, and operational metrics
  • Implement predictive analytics for demand sensing, customer behavior modeling, and trend identification
  • Lead competitive intelligence analysis and market trend monitoring to inform strategic planning
  • Develop pricing and promotional effectiveness models in collaboration with commercial teams
  • Champion data governance standards and ensure data quality across planning systems

    • Digital Transformation & Technology Leadership

  • Drive AI / ML integration into planning processes, serving as orchestrator of human-AI collaborative workflows
  • Lead technology selection and implementation projects for planning systems (SAP IBP, Anaplan, o9, JDA / Blue Yonder)
  • Partner with IT and Engineering teams to automate reporting and scale data infrastructure (Snowflake, Tableau, Power BI)
  • Champion transition from manual Excel-based processes to integrated, cloud-based planning platforms
  • Develop and monitor AI model performance, ensuring continuous improvement and value realization
  • Build organizational capabilities in digital tools and advanced analytics methodologies

    • Cross-Functional Leadership & Stakeholder Management

  • Serve as primary planning liaison to executive leadership, presenting monthly business reviews and strategic recommendations
  • Consolidate inputs from planning, merchandising, finance, and operations into unified strategic narratives
  • Facilitate weekly S&OP meetings and monthly integrated business planning sessions
  • Manage relationships with key technology vendors and external partners
  • Drive change management initiatives supporting digital transformation and process optimization

    • Team Development & Organizational Capability Building

  • Lead and develop a team of 2-3 professionals including demand planners, supply planners, business analysts, and data scientists
  • Set clear OKRs, drive execution of high-impact projects, and foster culture of continuous learning
  • Develop team capabilities in AI / ML tools, statistical modeling, and advanced planning methodologies
  • Support career development through mentoring, cross-training, and stretch assignments
  • Build succession planning pipeline for critical planning roles

    • Risk Management & Business Continuity

  • Develop multi-scenario contingency plans for supply chain disruptions
  • Lead crisis response planning and execution during disruptions
  • Implement early warning systems for demand volatility and supply constraints

    • Innovation & Continuous Improvement

  • Identify opportunities to enhance forecast accuracy through emerging technologies
  • Improving planning cycle time
  • Deploy strategic evolution of KPIs and performance management frameworks

    • Requirements

  • Bachelor's degree in Business, Finance, Engineering, Supply Chain, Operations Research, or Analytics
  • 6+ years experience in operations planning, supply chain analytics, demand planning, or related functions
  • 2 years in leadership roles with direct report management experience
  • Preferred industry experience in eCommerce, Consumer Goods, FMCG, Retail, etc.
  • Demonstrated success in S&OP process leadership and cross-functional program management
  • Track record of digital transformation initiatives and technology implementations
  • MBA or relevant Master's degree preferred
  • APICS / ASCM certification (CPIM, CSCP) strongly preferred
  • Additional certifications in data science, project management (PMP), or Lean Six Sigma valued

    • Technical Competencies

  • Must have SQL
  • Must have R or Python
  • Advanced Excel modeling including VBA, complex formulas, and large dataset manipulation
  • Statistical software proficiency : R, Python, or SAS for predictive modeling preferred
  • BI / Visualization tools : Tableau, Power BI, Looker, or similar platforms
  • Planning systems : Experience with SAP IBP, Anaplan, o9, JDA / Blue Yonder, or similar
  • Database skills : experience with SQL, Snowflake, BigQuery, or similar preferred
  • AI / ML understanding : Familiarity with machine learning concepts and applications in planning

    • Hybrid Schedule :

  • 3 days per week in office in Manhattan office

    • Compensation :

  • $150k-$160k base salary + cash bonus and flexible for the perfect candidate
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