Sr Strategic Operations Manager, Consumer

Uber Technologies Inc.; San Francisco (CA); On-site; USD 131,000 - 145,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Benefits

Job summary

Uber Technologies Inc. in San Francisco is seeking a data-driven analytics professional to own search analytics end-to-end and shape how users discover restaurants, grocery, and retail on Uber Eats.

You will write complex SQL, build dashboards, and run experiments that influence ranking and allocation decisions. You will partner with Product, Data Science, S&P, Marketing, CRM, and regional Ops to translate data into actionable recommendations, manage multiple workstreams, and contribute to

Qualifications

• Bachelor's degree in a quantitative field (Statistics, Economics, Engineering, Computer Science, Mathematics) or equivalent practical experience.
• 5+ years of experience in analytics, business intelligence, data analysis, or analytically-heavy operations roles.
• Advanced SQL proficiency, write complex, production-quality queries against large-scale data warehouses (Hive/Presto or equivalent).
• Hands-on experience with Python or R for data manipulation, analysis, and automation.
• Experience building dashboards and automated reporting that serve cross-functional stakeholders.
• Demonstrated track record of using data to influence product or business decisions in a cross-functional environment.

Responsibilities

• Own search analytics end-to-end: Write complex SQL queries against large-scale datasets to analyze search ranking performance, cross-LOB store and item placement, and conversion patterns across categories.
• Build analytical products: Create and maintain dashboards, automated reporting, and monitoring tools that give Product, Ops, and Leadership real-time visibility into search health, ranking quality, and surface-level KPIs (conversion, GMV, engagement).
• Translate data into product influence: Synthesize operational and behavioral insights into clear recommendations that shape the search product roadmap, identifying ranking biases, surfacing gaps in cross-LOB allocation, and quantifying the impact of proposed changes.
• Collaborate cross-functionally: Work across Product, Data Science, S&P, Marketing, CRM, and regional Ops teams to ensure search strategy is grounded in data and aligned across stakeholders. Serve as the connective tissue between operational reality and product development.
• Manage programs and projects: Independently drive multiple workstreams from competitive search intelligence to new surface launches tracking details, managing timelines, and delivering in a fast-paced environment where priorities shift.
• Scale shared surface governance: Contribute to Share of Voice frameworks and traffic allocation governance across Restaurants, Grocery, and Retail on shared discovery surfaces.

Skills

Advanced SQL proficiency

Python or R

Dashboard development

Cross-functional influence

Data-driven decision making

Education

Bachelor's degree in a quantitative field

Tools

Hive/Presto

Excel/Google Sheets

Job description

About the Role

The Discovery team sits at the intersection of product analytics and operations within Uber Eats, owning one of the highest-leverage surfaces on the platform, how millions of eaters discover restaurants, grocery, and retail stores every day. This is not a traditional operations role. You will spend the majority of your time deep in data, writing complex SQL, building analytical frameworks, and running experiments that directly shape search ranking and cross-LOB placement across Uber Eats.

You will be the analytical backbone for Search, partnering hands-on with Product, Data Science, S&P, Marketing, CRM, and peer Ops teams to translate massive datasets into actionable insights that influence ranking algorithms, drive experimentation roadmaps, and optimize how traffic is allocated across restaurants, grocery, and retail. If you thrive on navigating ambiguity with data rather than playbooks, and want to see your analysis directly move product decisions at scale, this is the role.

What You'll Do

• Own search analytics end-to-end: Write complex SQL queries against large-scale datasets to analyze search ranking performance, cross-LOB store and item placement, and conversion patterns across categories
• Build analytical products: Create and maintain dashboards, automated reporting, and monitoring tools that give Product, Ops, and Leadership real-time visibility into search health, ranking quality, and surface-level KPIs (conversion, GMV, engagement)
• Translate data into product influence: Synthesize operational and behavioral insights into clear recommendations that shape the search product roadmap, identifying ranking biases, surfacing gaps in cross-LOB allocation, and quantifying the impact of proposed changes
• Collaborate cross-functionally: Work across Product, Data Science, S&P, Marketing, CRM, and regional Ops teams to ensure search strategy is grounded in data and aligned across stakeholders. Serve as the connective tissue between operational reality and product development
• Manage programs and projects: Independently drive multiple workstreams from competitive search intelligence to new surface launches tracking details, managing timelines, and delivering in a fast-paced environment where priorities shift
• Scale shared surface governance: Contribute to Share of Voice frameworks and traffic allocation governance across Restaurants, Grocery, and Retail on shared discovery surfaces

Basic Qualifications

• Bachelor's degree in a quantitative field (Statistics, Economics, Engineering, Computer Science, Mathematics) or equivalent practical experience
• 5+ years of experience in analytics, business intelligence, data analysis, or analytically-heavy operations roles
• Advanced SQL proficiency, write complex, production-quality queries against large-scale data warehouses (Hive/Presto or equivalent)
• Hands-on experience with Python or R for data manipulation, analysis, and automation
• Experience building dashboards and automated reporting that serve cross-functional stakeholders
• Demonstrated track record of using data to influence product or business decisions in a cross-functional environment

Preferred Qualifications

• 5+ years of professional work experience in a related field, such as consulting, investment banking, strategy, operations, or analytics
• Strong Excel/Google Sheets or SQL proficiency
• Ability to thrive in a fast-paced and ambiguous environment
• Experience problem-solving and proposing unique solutions to complex issues
• Strong experience building and executing complex processes
• Strong communication and presentation skills, including experience presenting data & insights to a sophisticated audience
• Experience with quantitative data analysis to provide deep measurable insights
• Strong collaboration and stakeholder management skills - building deep, trust-based relationships with teams and cross-functional partners
• Strong business judgment and critical thinking skills with the ability to use data to develop strategies and make decisions quickly

For New York City, NY-based roles: The base salary range for this role is USD $131,000 per year - USD $145,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD $131,000 per year - USD $145,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

Ready to Ride?

This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.