Data Manager Role

OpenDataJobs•Washington, DC

About The Position

The work Data Managers run the recurring operations that keep data accurate, current, usable, and available to the people who depend on it. They manage intake, validation, correction, publication, issue handling, service routines, and the handoffs between data producers, technical teams, stewards, and consumers. This is an operating role with responsibility for making the data lifecycle work in practice. Data Managers use metrics, controls, and workflow improvements to reduce avoidable errors and delays, while coordinating with Data Governance Specialists on standards, Metadata Management Specialists on context, and Data Inventory Managers on enterprise coverage. They own execution and continuous improvement of day-to-day data operations. What you'll build: * Data-intake, validation, correction, and publication workflows with clear owners and service expectations. * Data-quality checks, reconciliations, issue queues, and root-cause improvement routines. * Operational dashboards and reporting that show timeliness, completeness, accuracy, and unresolved issues. * Working agreements and handoffs among data producers, stewards, engineers, and data consumers. * Repeatable processes for maintaining datasets used in reporting, analytics, or artificial intelligence applications. Who you are: You see recurring work as a system to improve. You can establish a reliable cadence, spot weak handoffs, and use evidence to make data operations more dependable without turning every exception into a new manual process. You can move between detail and coordination. You are comfortable inspecting data, resolving issues with the people closest to the source, and explaining operational performance to leaders who need a clear view of risk and progress.

Requirements

Experience operating data-quality, data-lifecycle, publication, or data-service processes.
Working ability with structured data, SQL, validation methods, and reconciliation techniques.
Experience with workflow design, issue management, service metrics, and continuous improvement.
Ability to coordinate data producers, technical teams, stewards, and consumers.
Clear judgment about data accuracy, timeliness, traceability, and operational risk.

Responsibilities

Run recurring operations to keep data accurate, current, usable, and available.
Manage data intake, validation, correction, and publication.
Handle issues, service routines, and handoffs between data producers, technical teams, stewards, and consumers.
Use metrics, controls, and workflow improvements to reduce errors and delays.
Coordinate with Data Governance Specialists, Metadata Management Specialists, and Data Inventory Managers.
Own execution and continuous improvement of day-to-day data operations.
Establish data-intake, validation, correction, and publication workflows with clear owners and service expectations.
Implement data-quality checks, reconciliations, issue queues, and root-cause improvement routines.
Develop operational dashboards and reporting that show timeliness, completeness, accuracy, and unresolved issues.
Create working agreements and handoffs among data producers, stewards, engineers, and data consumers.
Develop repeatable processes for maintaining datasets used in reporting, analytics, or artificial intelligence applications.
Establish a reliable cadence for recurring work.
Spot weak handoffs and use evidence to make data operations more dependable.
Inspect data and resolve issues with people closest to the source.
Explain operational performance to leaders.