> Markdown version of [/jobs/ext/4013220-system-analyst](https://www.wearedevelopers.com/jobs/ext/4013220-system-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # System Analyst - **Company:** Ampcus Inc - **Location:** Chantilly, VA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Business Systems, Open Source Technology, Scrum Methodology, Test Case - **Published:** October 29, 2026 - **Apply:** https://www.careerboard.com/us/en/find-jobs-in-United-States/-2C60AE8E53AF5027E7/ ## About the Role * 7+ years of experience in business analysis, product research, and Agile environments. * Strong understanding of AI technologies, use case development, and enterprise implementation. * Experience with vendor management, pilot coordination, and R&D activities. * Proficiency in Agile methodologies (including SAFe) and sprint planning. * Excellent communication, facilitation, and documentation skills. * Familiarity with business process mapping and reengineering. * Ability to work proactively, lead meetings/working sessions, and deliver client-ready artifacts and deliverables. Certifications (Required or Preferred): Required: * Certified Business Analysis Professional (CBAP) or PMI-PBA * Agile certification (eg, Certified Scrum Product Owner (CSPO), SAFe Agilest) Preferred: * Scrum Master certification * AI-related certifications * Project Management Professional (PMP) Reporting & Collaboration: * Reports to the AI Consultant Task Lead and collaborates with joint customer-AI Consultant AI Program teams. ## Description The Senior Business Systems Analyst will support the customer's Artificial Intelligence (AI) Program by providing business analyst support for product research, piloting, and business-area AI research and development (R&D). This role requires a blend of technical and analytical expertise, stakeholder engagement, and Agile experience to accelerate the delivery and adoption of AI capabilities. The analyst will work closely with the joint customer-AI Consultant teams to identify, evaluate, and deliver high-value AI use cases., * AI Systems/Product Research, Evaluation, and Piloting: * Maintain a tracker of AI-related products (commercial and open-source). * Coordinate technical and security requirements gathering across stakeholders. * Recommend products/models for proof-of-concept and pilot testing. * Conduct vendor risk assessments and document findings. * Manage project plans and documentation for product sourcing and acquisition. * Facilitate customer and vendor meetings and capture meeting notes. * Lead/support pilot coordination, including test case development, feedback analysis, and procurement recommendations. * Support PI planning to capture planning inputs and prioritize use case selection and PI readiness activities. Agile Sprint Team Support: * Support sprint-based development (or evaluation) for AI products and enhancements. * Update product backlogs with user stories, acceptance criteria, and assignments. * Develop sprint plans and prioritization schedules. * Deliver release notes and maintain change control logs. * Report on security-related incidents and provide weekly summaries. * Produce ad-hoc analysis reports and technical documentation. AI Research and Development (R&D): * Host design thinking and discovery sessions to identify emerging AI use cases. * Collaborate with the AI Program to prioritize use cases during PI planning. * Define business goals and map systems, processes, and applications at a technical level. * Propose AI solutions to meet business needs and report capability gaps. * Support business process reengineering efforts with planning and scoping. * Develop proofs-of-concept to demonstrate business value. * Write project plans outlining requirements, success criteria, and effort estimates. * Deliver results reports with findings, cost/delivery estimates, and recommendations. * Organize prioritization sessions to select use cases for production. * Partner with customer staff to deliver production-ready AI systems and processes.