General Dynamics Information Technology Logo

General Dynamics Information Technology

Data Operations Support Lead

Posted 23 Days Ago
Remote
Hiring Remotely in United States
170K-229K Annually
Expert/Leader
Remote
Hiring Remotely in United States
170K-229K Annually
Expert/Leader
Leads data operations and governance for a large cloud modernization program. Oversees data platforms, pipelines, integrations, analytics environments, incidents, service requests, releases, performance, resilience, and data quality. Coordinates cloud, engineering, application, cybersecurity, and infrastructure teams; maintains operational documentation, dashboards, metrics, and risk logs. Partners with governance and engineering teams to implement metadata, lineage, stewardship, automation, CI/CD, observability, and SRE practices. Leads personnel, manages escalations, briefs executives, and drives continuous operational improvement.
The summary above was generated by AI

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 platform changes.
  • Lead Data Operations personnel, assign priorities, ensure objectives are met, and mentor team members on operational best practices.
  • Continuously improve the CMM Data Operations operating model and provide transparent reporting on progress, risks, financials, and outcomes.
  • Provide COR and government leadership with analysis, research, alternatives, and solution/design recommendations upon request. 

QUALIFICATIONS

  • 10+ years’ experience in IT Management including technology solutions delivery with emphasis on data governance strategy, standards development, implementation, operation support, and change management services to accelerate modernization efforts.
  • The Task Lead must possess bachelor’s degree from an accredited college or university.
  • The Program Manager must possess a Project Management Professional Certification (PMP).
  • Expertise in overseeing teams dedicated to big data cloud solution architecture, cybersecurity, data management, business intelligence and analytics.
  • Excellent customer-facing skills with experience briefing senior executive leadership.
  • Experience operating or supporting master data management (MDM) platforms or enterprise data governance tooling.
  • Familiarity with data governance frameworks (e.g., DAMA-DMBOK) and regulatory/compliance considerations related to data privacy and security.
  • ITIL Foundation certification or equivalent experience with IT service management practices.
  • Experience supporting large-scale data platform migrations or modernization programs.
  • Familiarity with scripting or automation (e.g., Python, PowerShell) to streamline monitoring and operational tasks.
  • Experience with data observability or monitoring platforms (e.g., Monte Carlo, Collibra, Informatica).

The likely salary range for this position is $169,604 - $229,464. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

None

Telecommuting Options:

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

 



Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Similar Jobs

49 Minutes Ago
Remote or Hybrid
97K-164K Annually
Senior level
97K-164K Annually
Senior level
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Develop and maintain Master Data Management, data governance, stewardship, quality, and reference data processes. Partner with enterprise stakeholders and governance groups to define standards, validate master data, establish quality rules, support data owners, and prioritize initiatives. Lead requirements for system configuration changes while using data profiling, modeling, and analytics to improve data validity and consistency across systems.
Top Skills: AgileInformaticaProfiseePythonRestSemarchySoapSQL
50 Minutes Ago
Remote or Hybrid
97K-164K Annually
Senior level
97K-164K Annually
Senior level
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Develop and maintain master data management and integration capabilities, including data quality rules, governance processes, stewardship workflows, data validation, profiling, modeling, and integration design. Collaborate with enterprise stakeholders, data owners, stewards, and governance groups to define requirements, configure systems, and support strategic MDM initiatives. Use Python, SQL, AWS services, APIs, Dataiku, and ETL/MDM tools to improve data accuracy, consistency, transformation, and retention.
Top Skills: AgileAmazon RedshiftAPIsAws LambdaAws Step FunctionsDataikuETLInformaticaPl/SqlProfiseePythonSemarchySQL
50 Minutes Ago
Remote
USA
200K-300K Annually
Junior
200K-300K Annually
Junior
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Develop state estimation and navigation algorithms for autonomous systems operating in GPS-denied environments. Build production-grade C++ software for embedded Linux robotic platforms, create modeling and simulation tools, and implement comprehensive testing and validation. Collaborate on roadmap planning and agile execution while improving benchmarking and performance-analysis pipelines. The role requires professional C++ expertise, state estimation algorithm experience, sensor-fusion familiarity, and the ability to deploy reliable autonomy software.
Top Skills: Automated TestingBarometersC++CamerasCeresCi PipelinesEkfEmbedded LinuxGpsGraph-Based OptimizationGtsamImuLaser AltimetersMagnetometersMatlabOpenvinsParticle FiltersPythonSlamUkfVio

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account