Manager II, PgM Tech, Data Analytics Services

About the Team

At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and Uber’s GSS (Global Scaled Solutions) organization leads many of those capabilities such as data annotation for AI/ML innovation, app testing, localization/internationalization, map editing, data analytics, engineering and more. We combine technology and human intelligence optimally to run scaled programs.

At GSS, we deliver high quality scaled programs in operations, technology and data analytics for various Uber businesses, leveraging our deep vendor partner network capabilities to carry out the program execution. We are also extending our impact and reach beyond Uber – our tech+ops solutions coupled with Uber’s strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human in the loop solution for the industry.

About the Role

We are looking for an exceptional candidate to lead a portfolio of programs in the domain of data analytics, data engineering, reporting and insights, in the Data Analytics Services team of GSS. You will be responsible for scaling and overseeing company-wide programs focussed around data analytics services. You will have the opportunity to drive the analysis behind various product, engineering and operations related decisions @ Uber. You will perform a range of activities demonstrating your analytical thought leadership and will be involved in leading multiple data-driven projects. You will be leading a team of program managers in the domains of data analytics, data engineering and reporting, as well as help manage large vendor operations across multiple sites in driving this charter forward.

—- What You Will Do —-

1. Program delivery leadership – lead multiple data analytics programs at Uber, with the scope including (but not limited to)
2. Metrics and KPI design and development
3. BI, dashboards and reporting solutions design and development
4. Data engineering for analytics – pipelines, data mart design and implementation
5. Analytical deep dives, insights generation
6. Insights for experimentation (e.g., A/B testing) and other product initiatives
7. Vendor delivery management– develop, manage and maintain vendor relationships and delivery in the domains of data analytics, including their delivery performance and quality, vendor talent sourcing and selection, managing cost and financials, run vendor transitions when needed
8. Team management – develop, coach and mentor the team (including team leads) consisting of data analytics/engineering program managers and analysts, and enable their career development and performance management
9. Stakeholder management – engage with and actively manage the business relationships with Uber (and when needed, external) stakeholders across product, operations, engineering and other teams globally, with the ability to represent Data Analytics Services deeply, and the rest of GSS capabilities in general as well
10. Innovation and thought leadership – identify opportunities for automation and self service products and solutions in the data analytics domain, leverage leading disruptive technologies like genAI, and implement them at scale to realize business impact
11. Best practices – continually improve ways of work, enhance delivery maturity, elevate governance and impact
12. Culture champion – participate at GSS level overall, to drive organizational culture

—- What You Will Need —-

1. 10+ years of experience in the domains of data analytics, data engineering, reporting, insights generation – both from a technical perspective as well as in a consultative manner – solving for complex problems at scale
2. Technical familiarity and experience with leading data analytics tools and softwares (python, SQL, google suite and others)
3. Experience in stakeholder management – with internal or external ‘client’ stakeholders at senior levels, ability to engage strategically as well as manage tactical governance
4. Excellent team management and supervisory skills
5. Familiarity with managing vendors, or deep experience working in a client-vendor setup
6. Strong ability to communicate, bring clarity of thought in messaging for senior management as well as broader teams
7. Track record of driving innovation and continuous improvement in data analytics services
8. Strong collaboration skills and abilities – working across silos and team structures to drive impact effectively
9. Ability to work in a global organization across locations and time zones

—- Preferred Qualifications —-

1. Education in technical domains like engineering, econometrics, statistics, business management
2. Familiarity with software product/tech domain is a plus
3. Strong business acumen, willingness to take smart risks and grow
4. Ability to get hands-on and go deep and be very detail oriented where needed, and zoom out to see and manage the big picture
5. Sense of ownership – self starter who can take a charter and define goals, execute plans
6. Experience in handling large teams, and senior tenured reportees
7. Familiarity with genAI tech and tools, industry-leading ML capabilities as they apply to data analytics, is a plus. Ability to understand what new tech/tools can do, and be able to apply them in the context of business
8. Good prioritization and time management skills

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.

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