Senior Software Business Analyst

Job Details:

Job Location:

INDIANAPOLIS, IN 46205, Position Type:
Full Time, Education Level: Bachelor Degree, The Senior Software Business Analyst facilitates the complete and accurate capture of business requirements for complex initiatives and the responsible integration of artificial intelligence (AI) into the requirements elicitation phase of the software development life cycle (SDLC). This role assists with aligning business and technical objectives, resolves dependencies, and mentors other analysts with the goal of ensuring system functionality meets customer expectations.

The senior analyst adheres to standards for AI-assisted analysis, source quality, and traceability, and ensures requirements are human-validated and client-approved before development.

• Lead discovery for complex, cross-functional, or high-impact initiatives.
• Navigate competing priorities and significant ambiguity.
• Identify strategic needs and opportunities beyond stated requests.
• Coach others on effective elicitation techniques.
• Evaluate AI-assisted discovery approaches for complex initiatives and establish human-review expectations.
• Facilitate discovery and knowledge-based inputs for complex initiatives by resolving source conflicts, setting source-quality and versioning expectations, and ensuring unresolved technical questions are routed to appropriate subject-matter experts.

• Adhere to the established analysis approach and documentation standards for complex initiatives.
• Review critical requirements for quality, feasibility, and alignment.
• Resolve complex requirement conflicts and dependencies.
• Promote consistent, outcome-focused requirements practices.
• Adhere to guardrails for AI-assisted requirements practices and review high-impact outputs for quality, bias, security, and business alignment.
• Establish requirements quality gates for complex initiatives, including source traceability, testability, dependency management, and review of unsupported conclusions, assumptions, and misinterpretations.
• Ensure only human-validated, client-approved requirements become the development baseline.

• Lead enterprise or cross-functional process improvement efforts.
• Identify systemic issues and transformational opportunities.
• Assess organizational impacts and implementation risks.
• Influence leaders on process strategy and operating model changes.
• Assess AI-enabled process opportunities and related operational, governance, adoption, and implementation risks.

• Influence senior stakeholders and facilitate complex decisions.
• Resolve cross-functional conflicts and competing priorities.
• Present complex analysis and recommendations to leadership.
• Serve as a trusted advisor between business and technology teams.
• Set expectations for responsible AI-assisted communication and ensure sensitive or high-impact messages receive appropriate human review.
• Facilitate high-impact client and leadership decisions, establish decision-management practices, and ensure final accountability and approval remain with authorized people rather than AI tools.

• Guide solution analysis for complex architectures and interconnected systems.
• Challenge assumptions and assess long-term solution impacts.
• Influence design decisions to align business strategy and product direction.
• Connect business outcomes to technical investment decisions.
• Guide analysis of AI-enabled solutions, including responsible-use, governance, data, security, and long-term operational considerations.
• Govern fit-gap and solution analysis for complex products and architectures, ensuring AI-supported findings are evidence-based, technically reviewed where needed, and aligned with approved business outcomes.

• Lead scope and change analysis across programs or product areas.
• Resolve high-impact priority and dependency conflicts.
• Advise leadership on tradeoffs and change implications.
• Establish effective backlog and requirements governance practices.
• Establish governance for requirement baselines and change control so development proceeds only from human validated, client-approved requirements and requirement questions return to the BA/client approval process.

• Lead complex data analysis and define information requirements across solutions.
• Evaluate data governance, quality, integration, and reporting risks.
• Use…