Lead/Senior Business Analyst - Asset Management + Data

Lead/Senior Business Analyst

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