Business System Analyst

Performance Contracting Group • Lenexa, KS

1d • Onsite

About The Position

Performance Contracting Group (PCG) is seeking a Business Systems Analyst to support the Headquarters in Lenexa, KS. This role acts as a liaison between business partners, product ownership, development teams, enterprise applications, architecture, project management, and emerging technology teams. The Business Systems Analyst will translate business needs into clear requirements, practical solution options, intake-ready business cases, measurable outcomes, and delivery-ready work items. A key aspect of this role is supporting PCG’s growing AI portfolio and managing the project intake process from initial idea through to planning or execution.

Requirements

• Strong business analysis skills, including elicitation, facilitation, process mapping, requirements definition, user story writing, and acceptance criteria development.
• Strong understanding of project intake, portfolio funnel management, canvas facilitation, charter development, discovery readiness, intake governance, and project handoff practices.
• Ability to evaluate incoming requests for business value, urgency, readiness, stakeholder alignment, technical dependency, support impact, regulatory/compliance drivers, and appropriate delivery path.
• Comfort working in PPM, SharePoint/Teams project intake folders, Azure DevOps, and related tools to maintain accurate intake status, documentation links, backlog traceability, and decision history.
• Ability to define and improve intake KPIs such as first BSA touchpoint, canvas completion, backlog readiness, first-touch PBI quality, and request aging.
• Ability to work with cross-functional teams in a fast-paced Agile/Scrum or DevOps-oriented environment.
• Strong communication skills with the ability to explain technical concepts in business language and business needs in delivery-ready language.
• Advanced problem-solving skills, curiosity, critical thinking, and the ability to ask strong questions that reveal risks, dependencies, gaps, and future-state opportunities.
• Practical understanding of AI concepts, including generative AI, AI agents, prompt engineering, knowledge sources, retrieval, model limitations, output validation, governance, and adoption considerations.
• Comfort experimenting with approved AI tools to improve delivery, automate repetitive work, draft artifacts, analyze information, and accelerate discovery while maintaining accountability for accuracy and quality.
• Proficient in Microsoft 365, Teams, SharePoint, Excel, PowerPoint, Word, OneNote, Azure DevOps, and related collaboration tools.
• College degree in IT-related studies or equivalent work experience. Early-career BSA experience with strong learning agility.

Nice To Haves

• Experience with D365 Finance & Operations, Power BI, Power Platform, Copilot Studio, Azure AI Foundry, SQL, or ServiceNow is preferred.
• Hands-on experience helping business teams move from idea to practical solution through structured intake, canvas, charter, discovery, prioritization, and delivery readiness.
• AI experience may include facilitating AI use case discovery, building or supporting prototypes, creating prompt libraries, documenting agent requirements, supporting AI adoption, defining support models for agents, or improving manual business processes through Copilot-enabled workflows.
• Certified Scrum Master or equivalent Agile fundamentals.
• Interest in intake, AI, automation, or process improvement.
• Certified Product Owner, D365 experience, project intake/canvas exposure, or hands-on use of approved AI tools.
• Agile/DevOps experience, advanced troubleshooting or Tier 3 support, intake ownership, discovery facilitation, AI use case discovery, or agent/project documentation.
• PMI-ACP, advanced Product Owner certification, proven experience maturing intake/discovery processes, AI adoption, governance-aware experimentation, or complex transformation.
• Ability to coach BSAs, establish reusable intake/discovery standards and templates, guide AI/business innovation intake, and improve BSA delivery practices across the department.

Responsibilities

• Serve as a liaison between business users, product owners, developers, architects, vendors, project management, and support teams.
• Lead discovery conversations to understand the business problem, current process, desired outcomes, stakeholders, risks, dependencies, and measures of success.
• Translate conceptual customer requirements into functional requirements, user stories, acceptance criteria, use cases, process flows, and supporting documentation.
• Document existing and future-state processes using appropriate artifacts like process maps, activity diagrams, data flow diagrams, use cases, decision logs, and functional specifications.
• Evaluate process improvements, system improvements, and technology-enabled efficiencies using knowledge of ERP, enterprise applications, integrations, reporting, and business operations.
• Serve as an owner and facilitator of the front-end project intake process, ensuring technology requests are captured, clarified, documented, and routed appropriately.
• Create and maintain project intake records in the approved PPM/intake tool.
• Set up and maintain intake documentation structure, including project folders, canvas documentation, supporting artifacts, stakeholder notes, and links.
• Lead or co-lead canvas sessions with stakeholders to clarify current state, desired future state, business outcomes, scope, assumptions, constraints, dependencies, risks, and expected value.
• Partner with Architecture, Project Management, Product Ownership, and business stakeholders to determine the appropriate path for requests.
• Prepare and maintain charter and discovery inputs, including stakeholder identification, product owner identification, current/future state documentation, problem statements, value framing, MVP boundaries, priority inputs, effort/t-shirt sizing support, and cost/benefit considerations.
• Improve the intake-to-discovery process by enhancing templates, documentation standards, status definitions, criteria for trackable work, handoff expectations, and visibility into request status.
• Ensure intake artifacts provide sufficient information for leadership review, prioritization, discovery resourcing, backlog creation, and planning.
• Partner with business teams to identify high-value AI use cases, define business outcomes, and differentiate practical opportunities from exploratory ideas.
• Support innovation efforts by helping intake, scope, prioritize, document, test, and communicate AI-enabled solutions.
• Develop AI project artifacts such as canvases, charters, functional specifications, prompt lists, support models, adoption plans, training inputs, and success measures.
• Work with technical teams to explore solutions using approved AI tools and platforms.
• Help business partners use AI responsibly by validating outputs, documenting assumptions, identifying data/security considerations, and reinforcing human review for business decisions.
• Evaluate AI-assisted process automation opportunities, including report automation, document review, workflow assistance, knowledge search, agent-enabled support, and business self-service scenarios.
• Assist with AI agent lifecycle activities, including stakeholder discovery, prompt and knowledge-source definition, testing, production readiness, release communication, feedback tracking, support intake, and continuous improvement.
• Prepare for and lead backlog grooming/refinement sessions with product owners and scrum teams.
• Validate that work items are complete, clear, testable, and ready for refinement, sprint planning, or planning review.
• Define business-driven acceptance criteria detailed enough for the team to determine when the work is complete.
• Create and maintain work items in the appropriate project management and DevOps tools.
• Use intake and discovery outputs to create strong problem statements, user stories, PBIs, bugs, decision records, and backlog items.
• Lead or support UAT and CRP activities by coordinating with SMEs, product owners, technical training, and scrum teams on test cases, test scenarios, issue tracking, and retesting.
• Assist with post-deployment activities, including issue triage, defect research, production bug diagnosis, root-cause analysis, and handoff to Application Support.
• Support knowledge transfer by documenting system configurations, expected behavior, support procedures, FAQs, troubleshooting steps, and training content.
• Work with Technical Training and business partners to develop adoption materials that help users understand new systems, process changes, and AI-enabled capabilities.
• Help establish practical support paths for AI tools and agents, including request categories, escalation paths, documentation needs, and service expectations.
• Anticipate, identify, and escalate issues, risks, blockers, support gaps, data concerns, security considerations, and adoption challenges.
• Promote the use of the Software Development Lifecycle and established internal IT processes while helping adapt those processes for emerging AI and low-code/no-code delivery models.
• Contribute to strong team morale, positive stakeholder relationships, and a culture of practical experimentation, responsible innovation, intake discipline, and continuous learning.

Benefits

• Competitive pay
• Incentive bonus plan
• Employee stock ownership plan (ESOP)
• 401(k) retirement savings plan with match
• Medical, prescription drug, dental, and vision insurance plans with flexible spending account option
• Life insurance, AD&D, and disability benefits
• Employee assistance program (EAP)
• Flexible paid time off policy and paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Associate degree