Sr. Business Analyst, AI & Automation

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Sr. Business Analyst, AI & Automation

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The Senior Business Analyst, AI & Automation identifies, evaluates, and advances business process improvement opportunities using robotic process automation, workflow automation, intelligent document processing, artificial intelligence, and related digital capabilities. The role leads business analysis activities across the automation lifecycle, including process discovery, feasibility assessment, requirements definition, business-case development, solution-design collaboration, User Acceptance Testing, change readiness, deployment support, and value realization.

The Senior Business Analyst serves as a trusted advisor to business stakeholders and partners with technical, data, security, architecture, and governance teams to deliver secure, scalable, supportable, and measurable business outcomes.

• Build and maintain consultative relationships with business unit executives and management.
• Serve as a subject matter expert on AI, automation, and process-improvement opportunities for assigned business areas.
• Facilitate discovery workshops to understand business challenges and opportunities for AI-assisted work.
• Educate stakeholders on available AI and automation capabilities and appropriate use cases.
• Support business readiness, process adoption, and change management activities.

• Manage demands from assigned business units, representing AI and Automation Service offerings.
• Identify opportunities to improve business processes through automation, AI, workflow optimization, or process redesign.
• Develop business requirements, business cases, and prioritization recommendations.
• Secure management and financial approvals.
• Escalate issues and take corrective action.
• Assess incoming AI and automation requests for business value, feasibility, expected outcomes, and alignment with organizational priorities.
• Document current-state and future-state processes to support evaluation of AI and automation opportunities.
• Develop business cases and value estimates for AI-enabled process improvements.
• Partner with technical teams to ensure business requirements are clearly defined and understood.
• Manage assigned automation opportunities through the full delivery lifecycle, including intake, process discovery, requirements definition, estimation, prioritization, design collaboration, User Acceptance Testing, change control, production readiness, deployment, hypercare, and benefits realization.
• Maintain visibility into assigned initiatives, dependencies, risks, decisions, approvals, delivery status, and business outcomes.
• Coordinate business and technical stakeholders to ensure that requirements remain traceable through design, testing, deployment, and operational transition.

• Participate in transformation initiatives.
• In conjunction with the business unit, develop AI and automation transformation roadmaps aligned to business objectives.
• Review project status reports and elevate issues as needed.
• Evaluate opportunities to improve employee productivity through AI-enabled solutions.
• Support implementation and adoption of AI, automation, and workflow optimization initiatives.
• Measure and report on business outcomes, process improvements, and value realization.
• Partner with data, security, and technology teams to ensure solutions comply with established standards and policies.
• Assess automation candidates for process stability, rules maturity, transaction volume, exception rates, data quality, system dependencies, security considerations, business continuity requirements, technical constraints, and expected value.
• Identify circumstances where process redesign, workflow automation, integration, RPA, intelligent document processing, conversational AI, Agentic AI, or a non-automation solution may be the most appropriate approach.
• Challenge requests constructively when automation would add unnecessary complexity, risk, or support cost.
• Support…