Product Operations Manager- Global Intelligence

About The Role

Improve Uber's product impact on a global scale. Work with cross-functional partners to surface needs, prioritize, test, launch, and iterate on Uber's marketplace products. Develop and maintain Uber's Global Intelligence related product suite to power Uber's global delivery & mobility operations.

What The Candidate Will Do

• Oversee Uber's company wide relationships with external data providers and research agencies, including budgeting and procurement.
• Guide team that translates externally collected data into regular reporting and ad hoc research projects for Uber's executive & senior leadership teams (Sr Directors, Vice Presidents and Executives).
• Spearhead cross-functional teams for any initiatives that focus on competitive strategy and benchmarking for Uber globally.
• Leverage business metrics and competitive insights to optimize the end-to-end consumer experience and guide product improvements.
• Develop and manage comprehensive rollout plans, ensuring execution across regions and alignment of functional stakeholders.
• Drive semi-annual strategic planning, fostering a community of product leaders focused on scalable innovation and measurable outcomes.

Basic Qualifications:

• Bachelor's degree in Computer Science, Economics, Applied Mathematics, Engineering (any), Data Science, Business Administration, or a related field, plus five (5) years of progressive, post-baccalaureate experience in the job offered or a product operations-related occupation.
• Performing data analysis using Google Sheets, Microsoft Excel, and Looker.
• Conducting statistical analyses, including descriptive statistics, correlation, regression, and confidence interval estimation.
• Building and interpreting econometric models using R and Python.
• Utilizing project management frameworks and tools, including Jira, Asana, Airtable, or Microsoft Project.

Preferred Qualifications:

• Analyzing user requirements, procedures, and problems to automate or improve existing machine learning systems;
• Designing and implementing large scale customer experiments and Familiarity with experimentation techniques, including simulation or A/B testing;
• Developing relevant metrics and KPIs to measure performance by product teams.

For New York, NY-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 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. More details can be found at the following link https://jobs.uber.com/en/benefits., For New York, NY-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 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. More details can be found at the following link https://jobs.uber.com/en/benefits.