Reference Data Senior Analyst - Technology Product Management - AVP

Organization & Department Overview

The Master and Reference Data (MRD) organization is responsible for providing authoritative sources of reference data across the enterprise, through implementing state-of-the-art technologies and operational processes which promote the collection, storage, analysis, and distribution of product, pricing, account, and corporate action data. The MRD organization works in partnership with data clients across global business lines, deploying solutions to increase competitiveness through restructuring business processes, simplifying information access, and providing business intelligence around critical data.

The Technology Product Management Senior Analyst is an intermediate-level position responsible for liaising between business users, operations, and technologists to define product requirements, manage backlogs, and drive platform enhancements. The overall objective of this role is to contribute to continuous iterative exploration, product feature definition, and data analysis to maximize business value and platform adoption.

Team Overview

This Corporate Actions Product & Data Team works on a global strategic technology platform - Global Corporate Action Event Repository. Major tasks involve - processing Vendor Data Feeds, Analyzing and Researching Data, Working on Swift Messages, User Interface, Data publishing to downstream clients (via Cloud, custom publisher), Rules and Governance, Audit, Compliance. Coverage, Completeness, Accuracy, and Timeliness of information are the key drivers. Client and User requirements drive the overall product roadmap. It is a global team.

Job Description

• Create Business and Function Requirements
• Data Modelling, Mapping
• Data Mining and Transformation
• SQL Proficiency
• Work closely with IT, PM and Operations partners
• Develop Interfaces - Web GUI / API
• Work with Data Providers Vendors (Internal & External)
• Define EPICs and User Stories based on Client Requirements
• Work with Stakeholders
• Documentation and User Training
• Identify opportunities for automation, process streamlining, and AI-ready data use cases