Senior Data Operations Manager

23 hours ago

Manila, National Capital Region, Philippines beBeeManagement Full time $90,000 - $120,000
Senior Data Operations Manager

We are seeking an accomplished Senior Data Operations Manager to spearhead our data-driven forecasting process, owning the monthly Machine Learning forecast generation and weekly overrides ingestion while driving new enhancements to our inventory management stack.

  • This role combines scientific rigor, product thinking, and delivery discipline, partnering deeply with Supply Chain leaders and Engineering to drive company-wide productivity, efficiency, and cost savings.

The ideal candidate will have experience in applied data science/analytics, leadership skills, and proficiency in Python, SQL, and BI/visualization tools. We are looking for someone who is an owner, continually raises the bar, and is open-minded, willing to examine their strongest convictions with humility.

Responsibilities
  • Forecasting & MLOps
    • Run monthly forecast generation and weekly ingestion with clear SLAs and guardrails.
    • Maintain and iterate models (feature engineering, retraining cadence, champion/challenger) and introduce new models when they beat baselines on accuracy and stability.
  • Inventory Management & Optimization
    • Upkeep and enhancements of inventory planning tools: allocation, replenishment, supply planning, shipment planning & container consolidation.
  • Stakeholder Partnership & Strategy (Supply Chain, Engineering)
    • Serve as the primary point of contact for Supply Chain leaders on tooling, reporting, and ad-hoc analytics requests.
  • Automation with LLMs & Agentic AI
    • Lead an automation program to remove manual, repetitive planner work using LLM copilots and agentic patterns.
  • Agile Delivery & Sprint Leadership
    • Partner with the Director of Operations Intelligence to translate business goals into a sequenced roadmap tied to measurable outcomes.
Requirements
  • Bachelor's or Master's in a quantitative field (Data Science, Statistics, OR, CS, Engineering, Economics, or similar).
  • Experience in applied data science/analytics with experience leading people or projects.
  • Proficiency in Python (pandas, scikit-learn/forecasting libs), SQL, and BI/visualization (e.g., Tableau/Power BI).

We offer a supportive, diverse, and global team with a growth mindset, flexible working environment, and great opportunities to get involved with exciting projects.

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