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Supports business development, growth, and proposal efforts through market research, competitive intelligence, contract analysis, reporting, CRM updates, and teaming partner research. The intern will analyze industry and agency trends, gather federal contracting data from USASpending and SAM.gov, assist with strategic account planning, participate in meetings, and track action items. This part-time role is designed for a currently enrolled college student seeking experience in data-driven sales planning and growth campaigns.

Lead the architecture, implementation, and continuous improvement of secure, scalable AWS and multi-cloud platforms supporting mission-critical federal applications. Responsibilities include DevSecOps, infrastructure as code, CI/CD, monitoring, testing automation, incident response, disaster recovery, containerized and serverless architectures, and compliance with FISMA, FedRAMP, DHS, and NIST frameworks. The role also guides authorization processes, platform innovation, and cross-functional architecture decisions.

Leads a large federal IT program supporting modernization, operations, and sustainment of a mission-critical public application. Oversees contract compliance, technical direction, budgets, schedules, deliverables, staffing, and multiple Agile DevSecOps teams. Serves as the primary government interface, manages program risks and reporting, coordinates release reviews, and supports transition activities. The role requires extensive program management experience, Agile leadership, public-sector IT knowledge, and the ability to obtain a Public Trust clearance.

Leads enterprise data architecture, DataOps, MLOps, data integration, migration, warehousing, lakehouse implementation, and AI/ML solutions for identity and biometrics programs. Designs data models and governance frameworks, builds AWS and Databricks pipelines, validates models, integrates analytics into DevSecOps workflows, evaluates architectural options, and mentors data and database teams handling sensitive government data.

Leads business and technical requirements for a large federal public-facing system. Bridges USCIS business owners and DevSecOps teams by developing process models, use cases, user stories, acceptance criteria, and functional specifications. Supports UAT, requirements traceability, Agile ceremonies, identity and biometrics requirements, accessibility and security standards, and documentation. Coaches embedded business analysts and collaborates with product, architecture, data, and engineering leaders.

Lead the vision, strategy, roadmap, governance, modernization, and continuous improvement of a CMS enterprise data platform. Align executives, business stakeholders, engineering, data, analytics, architecture, AI, and operations teams. Drive prioritization, PI planning, adoption, KPIs, data governance, interoperability, self-service analytics, APIs, and responsible AI initiatives while translating business objectives into measurable product outcomes.

Leads strategic execution of a public-facing CMS program, overseeing Agile delivery, stakeholder engagement, governance, modernization, task order performance, budgets, risks, resources, and executive reporting. Manages cross-functional teams of 15–25 personnel while aligning technical solutions with CMS mission objectives, user needs, federal regulations, and business outcomes. Coordinates data governance, platform operations, website consolidation, sprint execution, release management, and continuous improvement across CMS organizations and data communities.

Develop and deploy production-grade AI/ML solutions on Microsoft Azure. Build secure data pipelines, prepare and validate datasets, support NLP and machine learning workloads, and implement MLOps practices including CI/CD, monitoring, troubleshooting, and model lifecycle management. Collaborate with engineers, analysts, and stakeholders in Agile teams while producing architecture, testing, security, and operational documentation for regulated government environments.

Lead the design and implementation of statistical and AI/ML solutions for product safety analytics. Develop and evaluate predictive, anomaly detection, classification, regression, NLP, and product similarity models. Apply semantic analysis, data visualization, and storytelling to generate actionable insights. Optimize scalable data science workflows in Azure using modern development tools, Git-based collaboration, and CI/CD practices while partnering with technical and business stakeholders.

Designs, deploys, secures, automates, and maintains Azure infrastructure supporting federal data, analytics, application, and AI/ML workloads. Manages networking, identity, CI/CD, monitoring, infrastructure as code, cost optimization, disaster recovery, and compliance. Troubleshoots cloud environments and partners with data, software, cybersecurity, architecture, and government teams in Agile delivery settings.