What are the responsibilities and job description for the Data Trust and Governance Lead position at Uber Corporate?
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 (CommOps) 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 areas
6. 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 CommOps on Google Cloud Platform BigQuery, along with overall resource usage in CloudBox 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 CommOps 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 [](;br>
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](;br>
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.
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 (CommOps) 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 areas
6. 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 CommOps on Google Cloud Platform BigQuery, along with overall resource usage in CloudBox 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 CommOps 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 [](;br>
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](;br>
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.
Salary : $185,000 - $205,500