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Data Trust and Governance Lead

Uber

Data Trust and Governance Lead

Uber

·

On-site

·

Full-time

·

2w ago

About the Role:

We are looking for a senior leader to own the Data Trust and Governance for Customer Support Data (CSD) team within Uber's Community Operation (Comm Ops) organization. This role is critical to ensuring that our data remains reliable, consistent, and trusted as we scale support operations and invest in AI-driven analytics.

CSD is measured by the quality, reliability, and cost-efficiency of the data we deliver. As the platform evolves, maintaining trust in data becomes increasingly complex and requires dedicated ownership. This role will establish and drive governance standards across data quality, lineage, metric definitions, and data lifecycle management.

This is a high-impact role that sits at the intersection of data, engineering, analytics, and business operations. The person in this role will work closely with cross-functional teams to ensure that customer support data is accurate, well-defined, and usable at scale - both for human decision-making and AI-driven use cases.

What You Will Do:

  1. Establish and Enforce Data Quality:** Define, document, and enforce comprehensive data quality rules, policies, and standards specifically for all customer support datasets.2. Data Observability: Establish, document, and be accountable for the implementation and operationalization of data observability requirements and actioning plans for customer support data.3. Master & Metadata Management: Manage and ensure the quality and governance of Master Data Management (MDM) and Metadata Management (MDM) standards. This includes identifying, defining, and managing Critical Data Elements (CDEs) to guarantee consistent business measurement.4. Metric Definition and Usability: Own the definition and validation of technical metrics, lineage documentation, access rules, and compliance standards. Develop a centralized, reliable, and comprehensive document or tool for metric definition and usability, accessible to both human and AI agents.5. Operational Governance Alignment: Lead the coordination of people, process, and technology alignment to implement governance for key operational areas6. Drive Data Modernization: Lead the implementation of "shift left" data governance to support data modernization initiatives.7. Govern Cost: Manage and govern the cost associated with compute and storage utilization for Comm Ops on GCP Big Query, along with overall resource usage in Cloud Box and on-premise environments.8. Manage Data Security and Lifecycle Management (DLM): Ensure secure access and sharing of customer support data assets. Define, review, and remain accountable for implementing Data Lifecycle Management (DLM) policies to ensure proper retention, archival, and retrieval of critical Customer Support data assets, in alignment with Uber's security, compliance requirements, and Comm Ops business needs.**

Basic Qualifications:

  1. 5+ years of experience in data governance, quality assurance and master data management
  2. Masters degree in computer science or similar field
  3. Overall 10+ years of professional experience experience in data and analytics domains
  4. Proven track record of driving cross-functional alignment across engineering, analytics, and business teams
  5. Deep understanding of data models, metrics, lineage, and data lifecycle management
  6. Ability to operate independently and bring structure to ambiguous, complex problem spaces
  7. Strong communication skills, with the ability to work effectively with both technical and non-technical stakeholders

Preferred Qualifications:

  1. Context and semantic engineering for agent AI data and analytics work
  2. Exposure to AI/ML or AI-ready data foundations
  3. Experience with large-scale data platforms or data modernization
  4. Strong understanding of customer support business metrics and analytics
  5. Ability to drive alignment across cross-functional teams
  6. Strong ownership and ability to operate in ambiguity
  • For New York, NY-based roles: The base salary range for this role is USD**$185,000 per year**
  • USD**$205,500 per year**.

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.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity 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.

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.

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Uber 소개

Uber

Uber

Public

Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.

10,001+

직원 수

San Francisco

본사 위치

$120B

기업 가치

리뷰

3.7

10개 리뷰

워라밸

3.2

보상

4.0

문화

4.1

커리어

3.4

경영진

2.8

68%

친구에게 추천

장점

Good compensation and pay

Flexible hours and schedule

Great team culture and colleagues

단점

Long hours and tight deadlines

High pressure and stressful environment

Poor management and lack of support

연봉 정보

15,354개 데이터

Mid/L4

Mid/L4 · Data Analyst

3개 리포트

$209,300

총 연봉

기본급

$161,000

주식

-

보너스

-

$203,580

$209,300

면접 경험

5개 면접

난이도

3.0

/ 5

소요 기간

14-28주

합격률

40%

경험

긍정 80%

보통 20%

부정 0%

면접 과정

1

Application Review

2

Online Assessment

3

Recruiter Screen

4

Technical Phone Screen

5

Case Study/Analytics Test

6

Final Loop/Panel Interview

7

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Case Study

Technical Knowledge