
Senior Vice President, Third Party Application Engineering
BNY Mellon2 months ago
Pune, IndiaStaff+
Responsibilities
- Partner with business and technology teams to gather, analyze, and document requirements for Eagle PACE Performance workflows, reporting, and data processing.
- Define the overall technical direction for Eagle PACE Performance system configurations and translate business needs into functional requirements, process flows, user stories, and acceptance criteria.
- Document performance calculation workflows, reporting processes, data lineage, business rules, control points, and system interactions.
- Configure and maintain Eagle PACE Performance calculation setup, parameters, system settings, inputs, and related workflow processing.
- Support performance measurement workflows, including calculation, validation, reconciliation, reporting, exception handling, and data-quality checks.
- Partner with engineering and data teams on data integration, APIs, warehouse mapping, and downstream reporting solution design.
- Ensure consistent business definitions across Eagle, reporting platforms, and downstream consumers.
- Lead testing, implementation, and change management for new or enhanced workflows and reporting capabilities.
Requirements
- Bachelor’s degree in computer science or a related discipline, or equivalent work experience; an advanced degree is preferred.
- 10–12 years of experience in a similar role.
- Strong experience with Eagle PACE Performance or related Eagle platforms, including data flows, business processes, reporting capabilities, and performance-related workflows.
- Experience supporting performance measurement, performance reporting, or investment operations workflows, with an understanding of performance calculation concepts and controls.
- Strong understanding of financial data including holdings, transactions, reference data, pricing, foreign exchange, corporate actions, cash activity, benchmark data, and account structures.
- Experience documenting business workflows, system interactions, data mappings, and functional requirements.
- Strong SQL skills; Python experience for data analysis, validation, or automation is preferred.
- Experience with technology teams on data integration, APIs, data warehousing, downstream reporting solutions, and ETL/ELT processes.
- Experience with reconciliations, exception handling, workflow controls, and reporting or data-quality controls in financial data environments.
- Experience working in Agile delivery environments and strong communication skills across business, operations, and technology teams.