Senior Business Analyst

Key Responsibilities

• Lead structured discovery, requirements elicitation, and alignment discussions with business, technical, vendor, application support, and leadership stakeholders.
• Translate business goals, pain points, improvement opportunities, risks, and operational needs into clear business, functional, non-functional, data, reporting, integration, enhancement, and support requirements.
• Develop and maintain high-quality analysis artifacts, including As-Is and To-Be process flows, user journeys, business rules, decision matrices, source-to-target mappings, data definitions, enhancement backlogs, acceptance criteria, and traceability documentation.
• Use AI-enabled productivity and analysis tools responsibly to accelerate documentation, synthesize stakeholder input, identify patterns or gaps, support backlog refinement, and improve requirements quality while validating outputs with human judgment.
• Assess opportunities for automation, analytics, and AI-enabled capabilities by helping define business value, feasibility, risks, controls, success measures, and adoption considerations.
• Support technology reviews, vendor evaluations, solution comparisons, application assessments, RFI/RFP activities, evaluation scorecards, and recommendation packages.
• Perform detailed data analysis to validate business assumptions, assess data quality, identify trends or anomalies, support reporting and integration needs, and confirm that solution outputs align with business expectations.
• Partner with architects, developers, data engineers, security, risk, and operations teams to clarify requirements, resolve design questions, define dependencies, and ensure solutions are scalable, secure, compliant, and maintainable.
• Support Agile, Waterfall, hybrid, and operational delivery models by contributing to backlog management, sprint readiness, enhancement intake, prioritization, acceptance criteria, change impact analysis, release readiness, and value-based decision-making.
• Ensure end-to-end requirements traceability across scope, design, development, testing, deployment, training, and post-implementation value realization.
• Lead UAT planning and execution support, including test scenario development, stakeholder coordination, defect triage, issue resolution, and sign-off readiness.
• Communicate complex technical, data, and process topics in clear business terms and tailor messaging for executives, project teams, vendors, and end users.

Required Qualifications

• Bachelor’s degree in Information Systems, Business, Data Analytics, Computer Science, or a related field; equivalent practical experience may be considered.
• 8+ years of experience as a Business Analyst, IT Business Analyst, Product Analyst, Data Analyst, or similar role supporting IT projects, enhancements, application changes, or operational technology initiatives.
• Demonstrated ability to lead requirements discovery/elicitation, stakeholder facilitation, process analysis, data analysis, solution definition, impact analysis, and cross-functional alignment for complex business and technology needs.
• Strong experience developing business, functional, non-functional, data, reporting, integration, and acceptance requirements.
• Strong data analysis skills, including the ability to profile data, identify trends or anomalies, validate outputs, define business rules, and support source-to-target mapping.
• Experience working with enterprise systems, APIs, integrations, data flows, reporting platforms, or migration efforts.
• Working knowledge of Agile, Waterfall, and hybrid delivery models, including backlog management, sprint readiness, UAT, and release support.
• Familiarity with AI-enabled tools and concepts, including responsible use of generative AI, automation opportunities, data quality considerations, model/output validation, and business value assessment.
• Proven ability to communicate clearly with executive stakeholders, business users, vendors, architects, developers, testers, and operational teams.
• Strong critical thinking, problem framing, facilitation, documentation, prioritization, and decision-support skills
• Strong emotional intelligence and interpersonal skills, with the ability to build trust, read stakeholder dynamics, navigate ambiguity, manage conflict constructively, influence without authority, and communicate with empathy, professionalism, and confidence.
• Ability to be open and flexible while upholding standards.

Preferred Qualifications

• Experience with enterprise platforms or business applications in Finance and/or Investments space.
• Familiarity with product management practices, including outcome definition, prioritization, roadmap support, customer/user journey mapping, and value realization.
• Relevant certifications such as CBAP, CCBA, PMI-PBA, CSPO, CSM, SAFe, Agile, data analytics, cloud, or AI-related certifications.
• Balances traditional business analysis discipline with practical data analysis, application knowledge, enhancement delivery, and value-oriented thinking.
• Uses AI and analytics to improve efficiency, but applies sound judgment to validate facts, clarify ambiguity, identify risks, and protect business integrity.
• Creates clear, decision-ready artifacts that help stakeholders understand scope, trade-offs, dependencies, value, and implementation impacts.
• Builds trust across business, technology, vendor, and application support teams by translating complexity into actionable direction, measurable outcomes, and practical improvements.