Business Analyst

• Independently lead working sessions with client stakeholders and subject matter experts, requirements workshops, application walkthroughs, feedback sessions, and capability reviews, probing beyond stated requests to understand the underlying business need, challenge assumptions, and identify gaps and edge cases.

• Translate product direction, design concepts, and client needs into structured functional requirements, user journeys, process flows, business rules, and user stories with clear business context and testable acceptance criteria.

• Maintain traceability from business needs through requirements, stories, testing, and client feedback.

• Collaborate with distributed onsite and offshore development teams to refine the backlog, provide rapid functional clarification during development, and ensure the original business intent is preserved as solutions are designed and built.

• Partner with QA to define business scenarios and expected outcomes, review and challenge test coverage beyond the happy path and perform selective hands-on validation of important workflows.

• Prepare client working teams to evaluate functionality in realistic scenarios and lead UAT and application validation sessions.

• Capture, categorize, and triage client feedback, distinguishing defects, usability improvements, configuration needs, client-specific requirements, and reusable product enhancements, and drive findings to resolution with named owners.

• Provide functional readiness recommendations to product leadership for features and pilots, along with analysis that informs product refinement, positioning, and go-to-market messaging.

• Develop functional expectations and evaluation scenarios for AI-assisted capabilities, considering output quality, consistency, explainability, guardrails, and human-review patterns where AI behavior differs from deterministic functionality.

The platform incorporates AI-assisted functionality, and experience with AI-enabled products will be a differentiating capability for this role. The Senior Business Analyst is not expected to be an AI engineer or data scientist, but should be able, or strongly motivated, to understand how AI-enabled functionality differs from traditional deterministic application behavior, and to help define how such capabilities are specified, evaluated, and validated from a business and user perspective.

• 8+ years of experience in Business Analysis, Product Business Analysis, Business Systems Analysis, or a comparable role supporting enterprise technology products or solutions.

• Strong experience analyzing business processes and translating complex business needs into structured functional requirements.

• Ability to rapidly develop functional understanding of complex enterprise business processes without requiring deep prior expertise in a specific business domain.

• Demonstrated experience leading substantive client or stakeholder working sessions, with the ability to engage stakeholders through questioning, analysis, and constructive challenge rather than simply documenting requested functionality.

• Strong experience developing user stories and clear, testable acceptance criteria; hands-on proficiency with Jira in Agile product-development environments.

• Demonstrated experience collaborating with software development teams to refine and groom requirements, and a strong functional understanding of software development and testing lifecycles.

• Experience developing test scenarios, reviewing QA test cases, supporting functional testing, and participating in UAT.

• Ability to identify business-process gaps, edge cases, exceptions, dependencies, risks, and impacts.

• Experience working with distributed teams, including onsite and offshore development and QA teams.

• Excellent written and verbal communication skills, including workshop facilitation, presentation, and stakeholder management; ability to synthesize complex or unstructured discussions into clear decisions, requirements, and actions.

• Bachelor's degree in Business, Information Systems, Computer Science, Engineering, or related discipline.

• Experience supporting the development or implementation of enterprise SaaS or configurable software products.

• Experience working simultaneously across product development and client implementation or pilot initiatives.

• Experience with AI-enabled, Generative AI, or intelligent workflow applications, including evaluating AI capabilities from a business and user perspective.

• Domain exposure to enterprise IT delivery: portfolio/project management, IT intake and governance, vendor management, procurement, consulting, or PMO operations.

• Experience with process-modeling, journey-mapping, wireframing, or collaboration tools such as Visio, Lucidchart, Miro, Figma, or similar platforms.

• CBAP, PMI-PBA, or comparable Business Analysis certification is a plus.