Senior Program Manager, Talent Intelligence

We're curious, we're thorough, we're predictive.

The Talent Intelligence team at Uber performs Labor Market Research which fuels our business strategy, workforce strategy, and talent acquisition strategy!

As a Talent Intelligence Program Manager, you'll wear multiple hats: you'll be the innovator, architect, storyteller, and driver! You'll be working directly with Uber leadership to understand business problems as related to Labor Markets, and you'll provide predictive, data-backed recommendations that optimize decisions.

What You'll Do:

- You'll atone for the changing market conditions by refining our TI mission, vision and values - building a nimble research structure and value proposition.

- Develop clear lanes for TI which evolve as Uber's needs evolve; a governance model which indicates where we play and where we don't.

- Plan and organize by developing the team's roadmap and priorities, keeping the team on track to reach the completion of critical research and projects aligned to Uber's mission.

- Architect TI research methodology, ensuring consistency in the way we collect information, analyze information, and share information across partner groups and leadership.

- Build products/tools/processes that reduce redundancies in work, and scale universally where needs for that type of research are universal.

- Influence partners with disparate ends around common goals, driving toward Uber first (OneUber) outcomes.

- Drive the team's continuous improvement; addressing gaps and opportunities to optimize the program at large.

- Refine reactive, proactive and predictive service lines.

- Partner closely with TA and people teams, using intelligence to influence where we look for talent, how we look for talent, and when we look for talent.

- Partner with, consult to, and present to senior leadership up to C-levels across all functions; influencing action from talent market insights.

Basic Qualifications

- Prior experience with quantitative and qualitative research and analysis methods, spanning across both historical and predictive.

- Experience using SQL to retrieve, merge, analyze structured and unstructured data from multiple data sources; following a 'best data from the best source' method.

- Program Management experience; experience managing programs with multiple projects to completion, rallying partners with different ends around collective outcomes.

- The ability to present research insights in a simple way, influencing partners across all levels (to include executive levels) around business, workforce, and talent acquisition strategies/decisions.

- Expert level experience with G-suite sheets, Google Data Studio and Tableau.

Preferred Qualifications:

- Understanding of technology applications and coding languages (e.g., R, DQLs)

- Experienced with app scripts for automation

- Experience with talent intelligence resources and tools like LinkedIn Insights, Emsi/Lightcast, Talent Neuron

- Experience with CRMs and ATS like Beamery, iCIMS

- Having worked in Recruiting/HR

For Chicago, IL-based roles: The base salary range for this role is USD$137,000 per year - USD$152,000 per year.

For Dallas, TX-based roles: The base salary range for this role is USD$137,000 per year - USD$152,000 per year.

For New York, NY-based roles: The base salary range for this role is USD$152,000 per year - USD$168,500 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$152,000 per year - USD$168,500 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$137,000 per year - USD$152,000 per year.

For Washington, DC-based roles: The base salary range for this role is USD$152,000 per year - USD$168,500 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. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits).

Uber is proud to be an Equal Opportunity/Affirmative Action 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](https://forms.gle/aDWTk9k6xtMU25Y5A).

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.