Data Operations Support Lead

Type of Requisition:
Pipeline
Clearance Level Must Currently Possess:
None
Clearance Level Must Be Able to Obtain:
None Public Trust/Other Required:
None
Job Family:
IT Infrastructure and Operations Job Qualifications:
Skills:
Data Operations, Enterprise Data, Information Technology Management Certifications:
None Experience:
10 + years of related experience US Citizenship Required:
No
Job Description:

Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program. The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States.

GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Data Operations Support Lead will lead the CMM Data Modernization and Governance team in delivering an integrated data governance, engineering, data platform, reporting, analytics, and Artificial Intelligence (AI)/ Machine Learning (ML) capabilities that support operational decision-making and fulfill AO's data and analytics objectives in support of the CMM program.

The successful candidate will oversee the daily operational health of data pipelines, platforms, and governance processes within the CMM Data Modernization and Governance program. This role leads a team responsible for monitoring data flows, triaging and resolving data incidents, enforcing data quality and governance standards in production, and ensuring reliable, well-documented data operations across the program's workstreams. The ideal candidate combines hands-on data operations experience with team leadership skills and is comfortable acting as the operational point of escalation between technical teams, governance stakeholders, and business users.

The Data Operations Support Lead will execute the following responsibilities:

- Serve as the primary contract liaison, ensuring execution aligns with strategic goals and overseeing daily operational matters.

- Lead daily operations for CMM data platforms, pipelines, integrations, applications, analytics environments, and data products.

- Establish and manage procedures for monitoring, incident response, problem management, service requests, maintenance, and releases.

- Monitor platform availability, performance, capacity, and pipeline health against SLAs; resolve critical incidents and conduct root‑cause analysis.

- Coordinate production support across cloud, data engineering, application, BI/analytics, cybersecurity, and infrastructure teams.

- Maintain runbooks, knowledge articles, escalation paths, and system documentation.

- Manage RAID logs and perform risk identification, communication, and mitigation.

- Oversee operational performance of ETL/ELT pipelines, APIs, CDC processes, integrations, data lakes, and warehouses; address pipeline failures and data quality issues.

- Support cloud data platforms in AWS, including analytics and AI/ML services; coordinate upgrades, patching, and environment management.

- Support capacity planning, performance tuning, resilience, backup/recovery, and disaster recovery activities.

- Partner with Data Governance/Data Engineering to operationalize data quality rules, metadata, lineage, and stewardship processes.

- Monitor and remediate data quality exceptions, operational risks, and audit findings.

- Promote automation for monitoring, deployments, testing, incident response, and operational reporting; support CI/CD, IaC, observability, and SRE best practices.

- Build dashboards and metrics for availability, performance, pipeline health, data quality, and incident trends; identify reliability and efficiency improvements.

- Lead incident management for high‑priority issues, coordinate escalations, and facilitate post‑incident reviews.

- Support change and release management; assess operational impacts of architecture, application, data, and platfo