Data Reporting and Analytics Lead

Clearance Level None Category Data  Science and Data Engineering Location Remote , Working from the USA

Key Skills For Success Business Intelligence Tools

Data Analysis

Data Modeling

Data Reporting

Datasets

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REQ#:
RQ225048

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Public Trust:
None

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Requisition Type:
Pipeline

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Your Impact

Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens.

Job Description
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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 Sr.
Reporting and Analytics Lead will be part of the CMM Data Modernization and Governance team responsible for 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 be responsible for delivering advanced reporting, analytics, and AI/ML capabilities that provide data-driven decision-support tools and actionable insights to users and stakeholders of the CMM application. This role oversees design, development, integration, and continuous enhancement of dashboards, reporting tools, predictive analytics, and AI/ML capabilities in alignment with strict federal compliance requirements.

The Sr.
Reporting and Analytics Lead will execute the following responsibilities:

• Lead the design, development, and integration of configurable dashboards, self-service reporting capabilities, and predictive analytics within the CMM application.
• Coordinate and implement data replication or feeds required to support downstream stakeholders and external systems.
• Continuously monitor system performance to ensure 95% or greater of analytical queries meet defined Service Level Agreement (SLA) response times monthly, including dashboard load times of five seconds or less.
• Drive user adoption of dashboards and reporting tools, with monthly usage across targets users.
• Collaborate with product owners, data engineers, and UX designers to ensure seamless integration of analytics features into the CMM user experience.
• Translate reporting requirements and KPIs into report designs, semantic models, and reusable datasets.
• Build and enhance dashboards and reports in approved BI tools, ensuring performance and usability at scale.
• Implement and validate SQL logic, calculations, and metric definitions used across reporting products.
• Coordinate with Data Engineering to resolve upstream data issues and improve data readiness for reporting.
• Apply visualization standards and documentation so reports are consistent, interpretable, and support adoption.
• Ensure reporting artifacts comply with privacy, access control, and data handling requirements.

• Lead AI/ML solution design and implementation with adherence to government compliance standards
• Establish, maintain, and oversee a master AI/ML Capability Register documenting all proposed, in-review, approved, and rejected capabilities, including status tracking, submission dates, and authorization history.
• Implement responsible AI/ML practices aligned with federal requirements, ensuring transparency, risk mitigation, fairness, and compliance.

• MA/MS degree with 12+ years of general experience in information systems and 10+ years of specialized experience.
• Experience may be considered in lieu of degree as follows: HS (16+ years), AA/AS (14+ years), BA/BS (12+ years), Doctorate Degree/Ph.D. (9+ years).
• Expertise in python, SQL and data transformations supporting large-scale analytical data systems.
• Strong hands‑on experience with BI tools such as Power BI, Tableau, or Qlik.
• Advanced SQL skills and experience…