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Associate Program Manager, Tech

AT Uber
Uber

Associate Program Manager, Tech

Hyderabad, India

About the Role

As a member of the GSS DAS PgM team, you will have the opportunity to drive the analysis behind various operations and product-related decisions @ Uber. You will perform a range of activities demonstrating your analytical thought leadership and will be involved in Program Managing multiple data-driven projects.

---- What You Will Do ----

  1. Design of KPI tracking systems for complex company-wide metrics across various Uber products and teams globally
  2. Performing analytical deep dives to drive product/strategy road-map
  3. Build data products from scratch using tech stacks like GenAI, NLP, ML, DE, etc
  4. Apply expertise in statistical analysis, data mining and visualization to own and deliver end to end analytical solution development
  5. Translate analytical solution into actionable insights and recommendations for the technical and non-technical audience in a clear, concise and persuasive way
  6. Maintain and continue to raise the bar for quality/efficiency of analytical solution delivery across the team
  7. Focus on long term improvements by building, maintaining, and documenting best practices within the team and seek continuous improvement opportunities
  8. Lead vendor data analysts in project execution
  9. Do all that it takes to drive and deliver multiple analytical and data engineering projects to partner teams across Uber

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---- What You Will Need ----
  1. BA/BS/MS in Physics, Economics, Applied Math, Statistics, Engineering, OR, Computer Science, or any other quantitative field
  2. Proficient in writing and understanding complex SQL queries
  3. Knowledge of latest ML algorithms such as GenAI, NLP, CV, recommendation systems
  4. Strong multi-tasking & project management skills, Keen sense of prioritization.
  5. Ability to thrive and deliver in an ambiguous environment
  6. Self-motivated and driven to deliver agreed results on-time.
  7. Good story-telling & articulation skills - ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience
  8. Strong influence and relationship management skills; comfortable interacting across all levels of stakeholders
  9. A minimum 2+ years' experience in an analytics/DE delivery role

---- Preferred Qualifications ----
  1. Programming background and expertise in solving a business problem using at least one of the following languages: Python, R
  2. Deep knowledge of NLP theory and an understanding of the latest innovations in Generative AI
  3. Experience with Big Data platforms like Spark, Hadoop, and their ecosystems (Hive, Pig)
  4. Experience working with large data sets and Hive database
  5. Experience of successfully managing small to medium-scale projects

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world 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.

Client-provided location(s): Hyderabad, Telangana, India
Job ID: Uber-140544
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • FSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Fertility Benefits
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Pet-friendly Office
    • Snacks
    • Some Meals Provided
    • On-Site Cafeteria
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K)
    • Company Equity
    • Performance Bonus
  • Professional Development

    • Work Visa Sponsorship
    • Associate or Rotational Training Program
    • Promote From Within
    • Mentor Program
    • Access to Online Courses
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)
    • Diversity, Equity, and Inclusion Program