Sr Business Analyst IT

Principals

• Leads feasibility assessments for complex business requests, leveraging AI-assisted research and data analytics to identify and recommend optimal solutions aligned with strategic goals.
• Conducts gap analysis between existing business systems and evolving customer requirements, informing backlog prioritization and sprint planning decisions.
• Collaborates with Product Owners, System Architects, and Agile development teams to refine epics into detailed user stories with clear acceptance criteria.
• Authors and maintains Agile artifacts including user stories, acceptance criteria, process flows, and technical specifications, leveraging AI-assisted documentation tools where appropriate.
• Leads complex data analysis initiatives using AI-powered analytics platforms and traditional tools, synthesizing findings into actionable product insights and strategic recommendations.
• PARTNERS WITH SENIOR MANAGEMENT, PRODUCT OWNERS, AND STAKEHOLDERS TO DEFINE PROGRAM VISION, EPIC-LEVEL ROADMAPS, AND OKRs THAT DRIVE MEASURABLE BUSINESS OUTCOMES.
• Develops release strategies, sprint planning inputs, and stakeholder communication frameworks to ensure transparent, iterative solution delivery.
• Effectively communicates program objectives, release cadences, and delivery status through Agile ceremonies, executive dashboards, and AI-generated insights.
• PROACTIVELY IDENTIFIES AND MANAGES CROSS-TEAM DEPENDENCIES AND ARCHITECTURAL RISKS, FACILITATING RESOLUTION THROUGH AGILE COORDINATION EVENTS AND ESCALATION PATHWAYS.
• DEFINES COMPREHENSIVE ACCEPTANCE FRAMEWORKS, DESIGNS BEHAVIOR-DRIVEN TEST STRATEGIES, AND OVERSEES ACCEPTANCE TESTING ACROSS MULTIPLE PRODUCT INCREMENTS AND RELEASE TRAINS.
• DRIVES CONTINUOUS IMPROVEMENT ACROSS THE BA FUNCTION BY LEADING RETROSPECTIVES, ESTABLISHING AGILE ANALYSIS BEST PRACTICES, AND CHAMPIONING AI TOOL ADOPTION.
• MENTORS AND COACHES LESS EXPERIENCED BUSINESS ANALYSTS ON AGILE ANALYSIS PRACTICES, AI TOOL ADOPTION, USER STORY CRAFTSMANSHIP, AND PROFESSIONAL DEVELOPMENT.

Skills and Abilities Required

• Advanced ability to translate business needs into strategic product roadmaps, well-structured user story hierarchies, and measurable Agile solutions.
• Expert-level experience leading requirements engineering within scaled Agile frameworks, translating enterprise-level needs into detailed story maps, process flows, and specifications for multiple delivery teams.
• Strong data literacy including SQL, data warehouse analysis, and AI-powered analytics platforms for advanced data-driven decision-making and predictive insights.
• Expert proficiency with enterprise Agile tools (e.g. Azure DevOps), AI productivity platforms, and Microsoft Office products.
• Previous experience facilitating and leading Agile ceremonies including backlog refinement, sprint planning, and cross-team coordination events for complex, multi-stream programs.
• Advanced experience with agentic AI tools, including designing and implementing AI-augmented analysis workflows, configuring intelligent requirements assistants including AI-powered requirements extraction, automated impact analysis, and intelligent documentation generation.
• Expertise in Agile scaling frameworks (SAFe, LeSS) with experience supporting PI Planning, Agile Release Trains, and multi-team coordination.
• Ability to work both independently and in a team-oriented, collaborative setting.
• Ability to lead through ambiguity in complex, scaled Agile environments with rapidly shifting priorities and multiple concurrent delivery streams.
• Ability to influence and align executive leadership, Product Owners, architects, and cross-functional teams around strategic analysis goals and AI-augmented delivery practices.
• Excellent problem-solving and analytical skills.
• Strong written and verbal communication skills.
• Strong interpersonal and stakeholder management skills.
• Ability to effectively prioritize and execute tasks in a complex environment.

Minimum Level of Preparation and Training Normally Required

• A bachelor’s degree in computer science, business administration, information systems, or a related field, or equivalent work experience.
• 3-5 years of direct work experience in a Business Analyst or similar capacity, including all aspects of process development and execution with demonstrated expertise in Agile delivery.
• IIBA Agile Analysis Certification (AAC), PMI-PBA, SAFe Product Owner/Product Manager, or equivalent Agile certification required.