Staff Technical Program Manager, Data

| San Francisco, CA
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About the Role:
Uber is looking for a Technical Program Manager (TPM) that will drive structure for large complex cross-team engineering initiatives in Data Platform organization spanning cloud, data governance, workflows automation, BI automation, and more.
What you will do:
A strong TPM in this role will move fluidly from the big picture to the minutiae so that their teams can deliver strategic multi-functional technical projects. You will work with engineering managers and engineers to estimate work efforts, define milestones, and manage resources. You are a bridge and a connector for the company and will work to clarify priorities while driving teams to be highly effective and develop broad domain and technical knowledge, mentoring where needed.
TPM work also involves the following:

  • Leading all aspects of project progress, resolving dependencies, evaluating risks, and communicating status to upper management and project team members.
  • Engaging and energizing your teams to achieve goals.
  • Proactively removing obstacles to drive momentum, progress, and results.
  • Identifying communication gaps, managing issues, team concerns, and providing support to teams balancing opposing priorities.
  • Contributing to the management of the multi-functional strategic planning and business planning process, leading conversations with key team members to develop concepts for strategic initiatives, and developing those into detailed program / project plans (including roadmaps, funding planning, resource planning and hiring goals).
  • Implementing continuous improvements to the engineering organization and the program management process.
  • Share program/project process frameworks, tools, and standard methodologies that can be adopted throughout the organization.


Basic Qualifications:

  • Proven track record as a TPM, Engineering Manager, and/or Architect in a software, SaaS, or systems development environment.
  • Technical proficiency with an ability to understand technical architecture, challenges, risks, and propose alternatives. Ideally in large distributed systems, Data Warehousing, and/or Data Lake.
  • Technical degree in computer science or related field.
  • Key TPM skills such as:
  1. Proven cross-team and cross-org team management.
  2. Metrics driven: experience determining effective program KPI's and using them to measure program success and issues.
  3. Strong organizational skills to prioritize tasks without losing sight of the highest priority items.
  4. Identifying process gaps, measuring progress, and balancing engineering and product efficiency with process overhead.


Preferred Qualifications:

  • Experience in Hadoop ecosystem, i.e. large scale Data Analytics using HDFS, YARN, Hive, Kafka, Spark.
  • Experience as a developer which includes writing, testing, and deploying code.


The Uber Technical Program Management (TPM) team plays a critical role completing high-impact org-wide initiatives and continuously improving processes to increase the efficiency of our product and engineering organizations.
The Data Platform organization powers several use cases across Product, Engineering, Data Science and Operations groups spanning Rides, Eats, Delivery, Safety, Maps and many other areas. Data volumes at Uber have experienced exponential growth, and Uber's systems rely heavily on these rich datasets to derive insights and make real-time decisions. To power these many critical analytics use cases and at a large scale, Uber's Data Platform is engineered to be one of the most sophisticated in the world.

More Information on Uber
Uber operates in the 3PL: Third Party Logistics industry. The company is located in San Francisco, CA, New York City, NY, Chicago, IL and Seattle, WA. Uber was founded in 2009. It has 21000 total employees. It offers perks and benefits such as Volunteer in local community, Partners with nonprofits, Friends outside of work, Eat lunch together, Intracompany committees and OKR operational model. To see all 65 open jobs at Uber, click here.
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