Business Analyst

This role will support Business Analysis activities for the Common App program and AI use cases. The Common Application Program at Client focuses on assessing, procuring, and modernizing the enterprise application components and solutions. This includes upgrading end-of-life and end-of-support technologies, acquiring new capabilities, and ensuring continued alignment with organizational strategy. Projects under Common App also include broader transformation initiatives. In addition, the Client is expanding its AI Center of Excellence initiatives to responsibly integrate AI into organizational functions.

The Contingent worker will be expected to deliver the following activities over the course of the engagement:

• Facilitate sessions with stakeholders to gather business, functional, and non-functional requirements.
• Document requirements as BRDs, user stories, use cases, and acceptance criteria.
• Maintain a requirements traceability matrix across all delivery phases.
• Validate requirements with stakeholders and vendors for clarity and alignment.
• Support ongoing refinement, prioritization, and requirements change control.

• Identify process gaps, pain points, and improvement opportunities.
• Design future state (TO-BE) processes aligned with policies and operational goals.
• Create process maps, swim lanes, and related models for stakeholder communication.
• Collaborate with Client teams and vendors to ensure feasible, compliant designs.

• Leverage AI for requirements definition and provide expertise in guiding Client teams on using AI for business analysis.
• Risk & Compliance Assessment identifying potential risks such as bias, regulatory implications, privacy issues, and ethical concerns.
• Success Metrics Definition defining AI performance KPIs such as accuracy, precision, business ROI, cost savings, or customer satisfaction improvements.
• Model Explainability Requirements determining the level of transparency needed for users, auditors, or regulators.
• Human-in-the-Loop Design mapping when humans should review, override, or monitor AI outputs.
• Change Management Planning assessing training needs, user adoption challenges, and operational transition planning.
• UAT Planning for AI designing acceptance criteria specific to AI outputs, edge cases, and model behavior scenarios.
• Post-Deployment Monitoring Framework identifying how to track model drift, data quality, and continuous performance over time.

• Identify impacted stakeholders and assess needs and change impacts.
• Support business readiness and cutover planning.

• Maintain and refine requirements and user stories in Azure Dev Ops.
• Ensure items have clear acceptance criteria and prioritization.
• Support sprint planning, refinement, and reviews.
• Track BA artifacts and align with testing and defect management.
• Coordinate with teams to keep documentation current.

• Develop and maintain BRDs, functional specs, process maps, and procedure documents.
• Provide input for training materials and job aids.
• Conduct or support stakeholder walkthroughs of new processes and capabilities.

• Demonstrated experience as a business analyst in software implementations or deployments.
• Proficient in programming languages such as Java, C++/C, and Oracle database.
• Expertise in Excel including macros.
• Strong understanding of technical concepts, principles, and terminology.
• Knowledge and expertise in AI usage in Business Analysis.
• Extensive experience in data profiling, analysis, and querying.
• Experience working on data integration projects.
• Experience developing detailed functional and technical requirements.
• Knowledge of data science concepts, data products, and data requirements gathering.
• Experience working within Agile framework and Dev Ops (Azure Dev Ops preferred).
• Excellent analytical, critical thinking, and problem-solving abilities.
• Familiarity with automated testing tools.
• Ability to work effectively in a team environment with both employees and consultants.
• Strong communication skills across technical and business teams.
• Proven organizational and coordination skills.
• Strong adaptability in fast-paced environments.

• BS in Computer Science, Information Systems, or related field (or equivalent experience).
• 10+ years of Business Analysis experience in IT projects including cloud and data integration.
• Programming experience preferred.

• IIBA ECBA / CCBA / CBAP / AAC
• IQBBA CFLBA
• IREB CPRE
• PMI-PBA
• Agile, Dev Ops, or Data Management certifications are a plus.