Manager, Data Science and Analytics

Filled
February 24, 2026
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Job Description

Company: Unilever

Role Overview

This position focuses on supply chain (SC) analytics leadership across multiple business units (“Collective companies”). The role blends:

  • Data science & analytics
  • Strategic planning
  • Stakeholder management
  • Operational decision support

You will lead the analytics function to improve service levels, inventory optimization, waste reduction, and cost efficiency, while influencing production and business strategy decisions.

Key Responsibilities

1. Strategic Alignment & Business Impact

  • Work closely with company teams to align analytics with strategic targets
  • Deliver insights tied to KPIs across supply chain performance
  • Provide foresight into upcoming risks and operational challenges

2. Supply Chain Analytics Leadership

  • Optimize production timing and product mix decisions
  • Generate insights on inventory, waste, cost, and service performance
  • Translate data into actionable operational strategies

3. Analytics Pillar Ownership

  • Lead analytics initiatives across the organization
  • Develop tools and frameworks to support decision-making
  • Manage projects end-to-end with clear milestones

4. Stakeholder Engagement

  • Influence senior leaders with data-driven recommendations
  • Present insights with compelling storytelling
  • Ensure visibility and accountability across teams

5. Team & Leadership

  • Lead analytics capability within the Collective structure
  • Drive adoption of data tools and decision frameworks

Required Skill Profile (Implied)

Although not explicitly listed, the role typically expects:

  • Experience in data science / analytics leadership
  • Strong supply chain or operations analytics background
  • Expertise in:
    • Python / SQL
    • BI tools (Power BI, Tableau)
    • Forecasting & optimization models
  • Strong communication and stakeholder management
  • Project and program management skills

Seniority Level Insight

This role sits between:

  • Senior Data Scientist
    and
  • Director of Analytics

It’s a people + strategy + execution role rather than purely technical modeling.

Who This Role Is Best For

You would be a strong fit if you:

✅ Have supply chain or operations analytics experience
✅ Want to move into leadership or already manage teams
✅ Enjoy influencing business decisions with data
✅ Are comfortable presenting to executives

Career Path From This Role

Typical progression:

Manager → Senior Manager → Director → Head of Data / VP Analytics