Description
The Digital Modernization Sector is seeking a highly qualified Business Analyst to support service delivery performance improvements and AI enablement initiatives within a Jira-based Agile Scrum environment. This role is focused on improving Service Level Requirement (SLR) performance processes, operationalizing AI capabilities, and reducing manual effort across service delivery workflows.
The Business Analyst will quickly translate operational friction into structured requirements, documentation, and automation initiatives. This position is embedded within a cross-functional Agile team and works closely with product leadership, data science, engineering, and service delivery stakeholders. This is not a general documentation role. It is execution-focused and improvement-driven.
Primary Responsibilities
The Business Analyst will support process improvement, automation, and AI enablement initiatives by translating operational needs into structured requirements, documentation, and backlog deliverables.
Key responsibilities include:
Analyze current-state workflows supporting Service Level Requirement (SLR) performance, including identification of manual processes, exclusion research, reconciliation activities, and reporting dependencies
Document existing operational workflows and define detailed requirements to support automation and system enhancement initiatives
Partner with data science and engineering teams to evaluate opportunities for automation, reporting improvements, and AI enablement
Design and implement structured intake processes for AI enablement requests, including submission criteria, prioritization inputs, and evaluation checkpoints
Develop and maintain Jira workflows to manage AI initiatives through intake, evaluation, delivery, and operationalization
Create clear user guides, reference materials, and operational documentation for AI-enabled applications
Document system capabilities, constraints, and practical usage scenarios to support adoption across stakeholder groups
Develop structured communications describing AI capabilities, use cases, and operational impact for executive leadership, operational teams, and delivery organizations
Elicit and document functional and non-functional requirements for automation initiatives, including workflow validation, ticket QA automation, and reporting enhancements
Translate business rules and operational pain points into structured Jira epics, user stories, and acceptance criteria
Maintain traceability between service performance objectives and backlog items
Develop process maps and workflow documentation to support engineering implementation
Support sprint planning, backlog refinement, QA validation, UAT activities, and operational rollout
Basic Qualifications
Bachelor’s degree with 4+ years of relevant experience (or Master’s with 2+ years)
Experience working within Agile Scrum environments
Demonstrated experience using Jira for backlog management and workflow tracking
Strong experience writing structured user stories, acceptance criteria, and requirements documentation
Experience documenting business processes, workflows, and operational procedures
Experience supporting automation, reporting, or system enhancement initiatives
Strong written communication skills, including development of user guides and executive-level summaries
Ability to operate effectively in a fully virtual, cross-functional environment
Preferred Qualifications
Experience supporting AI-enabled tools, automation initiatives, or data-driven workflows
Experience working with service delivery, performance metrics, or operational reporting frameworks
Familiarity with SLR or SLA performance models
Experience supporting QA automation, ticket review workflows, or workflow validation initiatives
Experience working in regulated or compliance-driven environments
Agile certification (IIBA-AAC, PMI-ACP, SAFe, or similar)
What Success Looks Like
AI enablement requests move through a structured and transparent intake process
Existing AI applications are supported by clear, practical documentation
Leadership has visibility into available AI capabilities and associated use cases
Automation requirements are well-defined, testable, and executable by engineering teams
SLR workflows with significant manual effort are documented and converted into improvement initiatives
Manual reconciliation and reporting effort is reduced through automation and workflow improvements
Backlog items are precise, measurable, and aligned to operational outcomes
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.
Original Posting:
February 19, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $73,450.00 - $132,775.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
About Leidos
Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.
Pay and Benefits
Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.
Securing Your Data
Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
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