Business Analyst

Responsibilities

• Develop a deep understanding of how enterprise systems, data platforms, and AI services interact—and how changes affect firm operations and initiatives.
• Partner with stakeholders to define AI use cases and success measures; document current-state pain points and future-state workflows.
• Elicit and translate requirements into actionable specifications (functional and non-functional), including data readiness, performance, availability, and auditability needs for AI-enabled features.
• Create and maintain artifacts such as business process models, data flow diagrams, prototypes, business requirements, use cases/user stories, acceptance criteria, and test cases.
• Support AI solution design by documenting model inputs/outputs, decision points, human-in-the-loop steps, and integration patterns (e.g., APIs, event streaming, batch pipelines).
• Partner with data and AI/ML teams on model lifecycle needs: training/validation data requirements, evaluation criteria, monitoring requirements (e.g., drift, performance), and operational handoffs.
• Collaborate with risk, privacy, security, and compliance stakeholders to capture AI-related controls and governance requirements (e.g., data handling, model transparency/explainability expectations, escalation paths).
• Analyze the lifecycle of financial transactions (e.g., checks, wires, ACH), tracking data generation, transformation, and consumption to support analytics and AI use cases.
• Gain proficiency in data ingestion tools (e.g., Qlik Replicate) and streaming platforms (e.g., Kafka) and help define requirements for reliable, scalable data movement.
• Execute and present written and verbal business systems impact analyses that identify high-impact, systemic solutions.
• Help reinforce Business Systems Analyst principles and practices across the team (standards, templates, requirement quality, and test readiness).

Requirements

• Minimum 3 years of experience designing and implementing functional systems and structured data processes.
• Bachelor’s degree required; emphasis in Computer Science or MIS preferred (or equivalent work experience).
• Experience translating requirements for data engineering, integrations, and/or analytics solutions.

Qualifications

• Proven experience as a Business Systems Analyst or Business Analyst in data- and platform-intensive environments.
• Experience supporting AI/ML-enabled products (or strong interest in learning), including model lifecycle considerations, evaluation, and monitoring.
• Ability to design new business processes and data usage patterns that improve efficiency and control.
• Ability to quickly grasp complex business processes and data relationships and turn them into clear, testable requirements.
• Experience or willingness to learn data replication (Qlik Replicate) and streaming technologies (Kafka).
• Strong skills in Microsoft Office to create working prototypes; ability to learn evolving reporting and analytics platforms (e.g., Tableau and other BI tools).
• Excellent communication skills, with the ability to convey technical concepts (data, integrations, AI behavior/limitations) to non-technical stakeholders.
• Familiarity with financial transactions (e.g., ACH, wires, checks) is a plus.