About the Role:

At Uber Eats Lat Am, our Automation & Advanced Analytics team is passionate about unlocking the power of data to solve real business problems. We focus on translating business needs into data science solutions, collaborating closely with teams across the region to drive impact on top-priority initiatives.

• As an Operations Manager
• Automation & Analytics, you'll play a key role in building and optimizing the processes that power our three-sided marketplace. This is a hands-on role that blends technical expertise, problem-solving, and project leadership.

You'll be part of the Lat Am Central Operations team, working alongside regional, sub-regional, and local teams to lead and support cross-functional projects.

What You'll Do:

Important: this is not a People Manager role.

• Design, implement, and scale automation solutions to streamline operations and drive efficiency.

• Use advanced analytics and business intelligence techniques to uncover insights, identify opportunities, and influence decision-making.

• Prioritize and manage high-impact projects from concept to delivery-coordinating with cross-functional stakeholders along the way.

• Identify and advocate for new product features that improve the experience for Eaters, Couriers, and Restaurants on our platform.

• Collaborate with Product and Engineering teams as an Operations partner, contributing to scalable and standardized processes across global regions.

• Maintain ongoing processes in the automation portfolio, ensuring transparency, reliability, and stakeholder trust.

What You'll Need:

• A minimum of 3 years of experience in operations, analytics, strategy, or a related field-ideally in fast-paced or high-growth environments.

• Strong technical foundation: Proficiency in Python, SQL, and optimization techniques is essential.

• Professional-level English proficiency.

• A problem-solving mindset that combines data, business acumen, and structured thinking.

• A proactive, flexible, and collaborative approach-comfortable navigating ambiguity and change.

• Excellent communication skills-able to translate complex technical concepts for diverse audiences.

• Experience building scalable solutions that integrate with broader systems and frameworks.

• A self-driven, curious attitude-you're always looking for smarter ways to solve tough problems.

Bonus Points

• Hands-on experience with optimization models (e.g., classification, regression, forecasting) for both deterministic and stochastic use cases.

• Background in machine learning.

• Familiarity with Streamlit and AI tools.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it forward, together.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.