Model Ops Project Manager Senior

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Other

Clearance Level Must Be Able to Obtain:

Confidential

Public Trust/Other Required:

BI Full 6C (T4)

Job Family:

Program Delivery and Execution

Job Qualifications:

Skills:

Agile Fundamentals, Cross-Functional Teamwork, External Stakeholders, Modeling, Project Management Standards

Certifications:

None

Experience:

7 + years of related experience

US Citizenship Required:

Yes

Job Description:

Opportunity for an experienced Project Manager to join an IT Operations Program for a federal government customer. We are seeking a highly skilled Project Manager to lead and coordinate complex threat research and assessment projects. This role involves overseeing the design and development of advanced threat detection methods, leveraging cutting-edge data analytics, machine learning, and statistical modeling processes. The successful candidate will work closely with diverse teams to develop actionable intelligence updates, maintain existing models, and ensure consistent performance optimization for operational environments. The selected candidate will support both the design and operational maintenance of threat assessment techniques. By managing resources and ensuring alignment with security mandates, the Project Manager will play a key role in safeguarding U.S. interests through sophisticated data analysis and intelligence-backed decision-making. As part of an agile team, you will:

• Adapt to evolving data requirements and collaborate in a dynamic, fast-paced environment.
• Work with agile team(s) to execute sprint planning, backlog prioritization, and delivery cadence for a portfolio of production models.
• Own the full AI/ML model lifecycle from data analysis and feature engineering through development, training, testing, validation, deployment, and continuous monitoring.
• Translate classified and open-source intelligence on emerging threats into behavioral models that identify new targeting approaches for agency enforcement to support Direct Threat Research modeling initiatives.
• Manage cross-functional collaboration between technical teams and government stakeholders to ensure model outputs are operationally actionable.
• Have prior experience working on operational and maintenance activities for analytical models.
• Experience coordinating with government agencies or security organizations is a significant asset.

MEANINGFUL WORK AND PERSONAL IMPACT

As a Model Ops Project Manager, the work you’ll do at GDIT will be impactful to the CBP mission.. Key responsibilities include:

• Manage end-to-end project activities, including the design, development, testing, and delivery of customized threat assessment solutions in collaboration with stakeholders.
• Oversee all phases of threat assessment projects, ensuring deliverables include research findings, machine learning model documentation, rule sets, and the necessary recommendations for operational integration.
• Manage the application of machine learning tools and algorithms to detect patterns and correlations that enhance threat predictions.
• Oversee the profiling, clustering, and classification of various data sources for advanced analytics, including structuring data for machine learning processes and data visualizations.
• Understanding of statistical modeling techniques (e.g., Regression, Machine Learning, GLMs, Decision Trees) and experience with data-mining tools.
• Direct analyses such as variance analysis, sensitivity, and specificity studies to evaluate the behavior and precision of threat assessment mechanisms.
• Produce detailed reports, including executive summaries, comparative analyses, and presentations to explain project outcomes to both technical and non-technical audiences.
• Lead efforts to update, refresh, and maintain machine learning models and rule sets, addressing changes in threat behaviors or data sources.
• Preparing and delivering presentations or briefings on leadership as needed.
• Demonstrating strong time management, multitasking, and prioritization skills in a fast-paced environment.

WHAT YOU’LL NEED TO SUCCEED

• Minimum of seven (7) years of experience in AI/ML model development, data science operations, or quantitative analytics with direct experience managing production machine learning models in an operational environment.
• Demonstrated technical expertise across the full model lifecycle with machine learning frameworks and statistical modeling techniques including regression, decision trees,