Overview
Working Hours: Full time 37.5 hours per week - Monday to Friday. The Senior Business Analyst plays a pivotal role in enabling ND&I's tooling portfolio by translating product vision and business needs into clear, structured requirements that ensure effective design, build, testing and adoption across both AI enabled and in life digital tools.
Responsibilities
- Partner with Product Managers (AI & Automation and In Life Tools) to refine use cases, features and backlog items, ensuring they are well defined, value aligned and ready for development.
- Elicit, analyse and document high quality functional and non functional requirements across ND&I, producing clear artefacts such as use cases, acceptance criteria and simple process or data views.
- Break down complex business problems into structured components, enabling aligned solution design and predictable delivery across operational and technical teams.
- Collaborate with OSS/IT, technical system leads and Application Engineers to assess feasibility and surface integration, data and security implications early, without owning technical design.
- Support AI & Automation initiatives by documenting automation use cases, business rules, decision logic and required data inputs/outputs, and by helping define measurable success criteria.
- Support lifecycle management of in life tools by capturing enhancement needs, assessing impacts across teams and ensuring governance documentation remains complete and auditable.
- Support issue and incident management for ND&I tools by analysing reported problems or defects, clarifying expected behaviour, and working with Product Managers, OSS/IT and delivery teams to enable timely resolution and reduce recurrence.
- Provide BA support to POCs, pilots and MVPs by refining scope, defining acceptance criteria and coordinating structured user feedback.
- Support UAT planning and execution, validating delivered functionality against agreed requirements and business expectations.
- Maintain clear traceability between requirements, development outputs and intended business value throughout delivery.
Qualifications
- Strong experience as a Business Analyst within digital, tooling, OSS/IT or technology enabled environments.
- Proven ability to operate within agile, product led delivery models, including backlog refinement and working within multi disciplinary squads.
- Skilled in requirements engineering, problem decomposition, business rules definition and translating business needs into structured artefacts.
- Good understanding of data flows, system integrations and governance considerations in complex, multi system environments.
- Ability to support both structured systems development and emerging AI/automation use cases.
- Excellent communication, facilitation and documentation skills across operational and technical audiences.
- Experience supporting POCs, pilots or MVPs through requirements clarity, acceptance criteria and feedback evaluation.
- Comfortable managing ambiguity, multiple initiatives and proactively escalating risks or misalignment.