We are seeking a Lead/Senior Business Analyst to join a Finance/IT transformation program focused on upstream data quality, interface standardization and end-to-end consistency of reporting outputs such as AUM, flows, revenues and related disclosures. The role sits at the intersection of Finance SMEs, multiple IT delivery teams and architecture, and is accountable for turning complex data and process needs into implementable requirements and verified outcomes. Responsibilities Decompose the upstream landscape, including sources, formats, frequency and controls, and clarify definitions such as static vs market vs fund valuation data Document data lineage to SIMSnew outputs and maintain an interface catalog, upstream data catalog, data definitions, lineage notes and an open questions log Elicit and structure business and data requirements, define acceptance criteria and align business rules across stakeholders Support solution design by clarifying intent, edge cases and dependencies with architecture and IT delivery teams Produce BRDs, user stories, process maps, decision logs and sign-off packs Facilitate workshops to resolve ambiguity in data definitions and ownership, establishing decision logs and explicit ownership/RACI structures Identify and track cross-workstream dependencies through RAID logs, confirm assumptions and maintain traceability across teams Define control descriptions and acceptance criteria that meet Finance quality, auditability and evidence requirements Support subsystem transition strategy, including platform migrations, and manage related dependencies Define data schedules and snapshot needs across daily, weekly and monthly cycles, with attention to month-end flash vs actual reporting windows Design and redesign business processes, approval workflows and associated control frameworks Requirements 7-15 years of overall IT experience, including senior business analysis within Agile delivery environments Proficiency in requirement gathering, FRD/BRD creation, requirements elicitation, decomposition, prioritization and sign-off management Expertise in data and interface analysis, including source-to-target mappings, data quality issues and reconciliation logic Familiarity with interface catalogs, data dictionaries and data lineage documentation Background in asset management Finance data and reporting concepts, including AUM, flows and revenue components Knowledge of SQL and data analysis techniques Understanding of controls, evidence and auditability requirements within Finance reporting environments Skills in facilitating workshops, aligning multiple teams and managing conflicting priorities Capability to work independently and drive analysis activities with strong ownership and a self-driven working styl