Data Operations Lead - Cloud Modernization & Governance

General Dynamics Information Technology; Fairfax (VA); On-site; USD 170,000 - 229,000; Full time

Benefits offered by this job

Flexible work weeks

Paid time off

401(k) with company match

Health and dental benefits

Job summary

General Dynamics Information Technology seeks a Data Operations Support Lead to oversee the CMM Data Modernization and Governance program, driving data platforms, pipelines, and governance, with hands‑on leadership over a team.

The role focuses on operational health, incident resolution, and collaboration with governance stakeholders to meet AO's analytics goals and data quality standards.

Qualifications

• 10+ years IT management experience with data governance, modernization, and operation support.
• Bachelor’s degree from an accredited college or university.
• PMP certification and ITIL foundation knowledge or equivalent experience in IT service management.

Responsibilities

• Lead daily operations for CMM data platforms, pipelines, integrations, applications, analytics environments, and data products.
• Oversee data quality, governance, and incident management across multiple teams.
• Maintain runbooks, escalation paths, and system documentation.
• Manage RAID logs, risk, and incident post-mortems; drive continuous improvement in reliability and efficiency.
• Support cloud data platforms in AWS, including analytics and AI/ML services; coordinate upgrades and environment management.
• Build dashboards and metrics for availability, performance, and data quality; report progress and risks.

Skills

Data Operations

Enterprise Data

Information Technology Management

Education

Bachelor's degree

PMP Certification

ITIL Foundation

Job description

General Dynamics Information Technology seeks a Data Operations Support Lead to oversee the CMM Data Modernization and Governance program, driving data platforms, pipelines, and governance, with hands‑on leadership over a team.

The role focuses on operational health, incident resolution, and collaboration with governance stakeholders to meet AO's analytics goals and data quality standards.