##### **About the Role**
##### As a Senior Operations Manager, you’ll play a key role in shaping and optimizing the processes for Riders and Drivers in MEA. This is a high-impact role where you’ll blend technical skills, strategic thinking, and collaborative project management to deliver solutions that scale.
##### You'll be part of the MEA Operations team, leading and contributing to projects alongside regional, sub-regional, and local operations partners. This role will focus heavily on data analysis, process improvement, and automation.
##### **What You'll Do:**
- ##### Design, implement, and oversee automation solutions to scale both new and existing processes—always with an eye toward efficiency and growth.
- ##### Leverage advanced analytics and business intelligence to uncover patterns, surface new opportunities, and challenge the status quo.
- ##### Prioritize and drive projects with clear goals, realistic timelines, and strong stakeholder coordination.
- ##### Partner with cross-functional teams to identify new features that enhance the experience for Riders and Drivers.
- ##### Act as an operational liaison with EMEA Central Ops, helping standardize and scale processes across global markets.
- ##### Ensure reliability and transparency in all active processes within the team's portfolio.
- ##### Develop and maintain key performance indicators (KPIs) and dashboards to monitor operational performance and identify areas for improvement.
- ##### Conduct in-depth data analysis to understand the impact of operational changes and identify opportunities for optimization.
- ##### Build and maintain data pipelines to ensure data accuracy and availability for analysis.
- ##### Communicate findings and recommendations to stakeholders through clear and concise presentations and reports.
##### **What You'll Need:**
- ##### Min 5 years of experience in similar roles, in fast-paced environments such as startups, strategy, operations, or analytics.
- ##### Strong programming skills in scripting languages, with proficiency in SQL and Python; experience with optimization methods is a plus.
- ##### Professional proficiency in English.
- ##### A problem-solver mindset—able to think scientifically, connect data to business decisions, and navigate ambiguity.
- ##### A proactive, flexible, and collaborative approach to evolving priorities.
- ##### Clear and effective communication skills, able to engage with both technical and non-technical stakeholders.
- ##### A self-starter attitude with a curiosity-driven mindset—comfortable tackling problems that don’t yet have a solution.
- ##### Experience building scalable solutions with potential for integration across multiple systems or frameworks.
- ##### Strong data visualization skills (e.g., Tableau, Looker, or similar).
- ##### Experience with statistical modeling and data analysis techniques.
##### **Bonus Points**
- Experience with machine learning
- Familiarity with optimization models (e.g., classifiers, regressions, forecasting) for both deterministic and stochastic scenarios
