Position Title:  Senior Business Analyst Digital & AI

• 4+ years of professional experience in Business Analysis/Product Management, with proven delivery of complex digital initiatives. 

• Strong capability in requirements elicitation, analysis, validation, and prioritization across diverse stakeholder groups. 

• Advanced analytical and structured problem‑solving skills, with the ability to operate effectively in ambiguous environments. 

• Proven experience working in Agile delivery environments (Scrum, Kanban), including backlog refinement and sprint planning. 

• Proficiency in business and system modeling techniques, including UML and BPMN. 

• Strong understanding of end‑to‑end SDLC and modern digital delivery practices. 

• Hands‑on experience with requirements and collaboration tools such as Jira, Confluence, and Miro. 

• Practical experience with LLMs, prompt engineering, and AI‑assisted workflows applied to analysis or documentation. 

• Understanding of AI/ML fundamentals, including NLP, intelligent automation, agentic AI, and feedback loop concepts. 

• Solid communication and facilitation skills, with the ability to influence stakeholders in complex, cross‑functional settings. 

• Ability to work autonomously, take ownership of outcomes, and operate with minimal supervision. 

• Strong written and verbal communication skills in English (minimum B2+). 

Discovery & Problem Framing 

• Lead end-to-end discovery activities to frame complex business problems, clarify ambiguity, and define measurable outcomes. 

• Facilitate workshops and interviews to identify stakeholder needs, pain points, and strategic objectives. 

• Synthesize insights into clear problem statements and solution hypotheses. 

  Requirements & Solution Design 

• Translate business needs into clear, testable functional and non-functional requirements. 

• Create and maintain analysis artifacts, including user stories, use cases, process flows, user journeys, data flows, and acceptance criteria. 

• Design future‑state processes and support solution scoping and estimation activities. 

• Apply AI‑enabled analysis techniques and prompt‑based workflows to enhance discovery and documentation where appropriate. 

Digital & AI Solution Delivery 

• Collaborate closely with engineering, architecture, data, and QA teams to ensure shared understanding of requirements and expected outcomes. 

• Support the design and delivery of AI‑enabled solutions, including automation, decision‑support, and intelligent agents. 

• Define and execute User Acceptance Testing (UAT), ensuring coverage of business scenarios and solution quality. 

• Provide Hypercare support post‑deployment to stabilize solutions and reinforce user confidence. 

Stakeholder Collaboration & Communication 

• Act as a key liaison between business and IT, ensuring consistent alignment throughout the delivery lifecycle. 

• Manage stakeholder expectations through structured communication, progress updates, and risk management. 

• Influence decision‑making in complex, cross‑functional environments. 

Data, Adoption & Continuous Improvement 

• Perform data analysis to validate assumptions, support decisions, and assess solution impact. 

• Monitor adoption and outcome metrics to ensure value realization. 

• Translate user feedback and insights into continuous product and process improvements. 

Ways of Working & Capability Building 

• Operate effectively in Agile delivery environments, supporting backlog refinement, sprint planning, and incremental delivery. 

• Mentor and coach junior Business Analysts, sharing best practices and raising overall capability. 

• Contribute to the continuous improvement of business analysis standards, tools, and methodologies.