Senior Reference Data Product Manager

Citi; Belfast City District; On-site; GBP 60,000 - 90,000; Full time

Job summary

Citi is seeking a Technology Product Management Senior Analyst to bridge business users, operations, and technologists. The role focuses on defining product requirements, managing backlogs, and driving platform enhancements for the Global Corporate Action Event Repository.

You will engage with data providers and vendors, develop EPICs and user stories, and contribute to automation and AI-ready data use cases while ensuring governance and quality across the data platform.

Qualifications

• Strong ability to capture business and product requirements and write functional specifications
• Experience with data analysis and testing in collaboration with Dev/QA/Operations
• Understanding of Data Vendor/Data Source Hierarchy for Golden Copy
• Experience with business process reengineering and data modelling concepts
• Proven ability to work under pressure with attention to detail

Responsibilities

• 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
• Collaborate with Data Providers Vendors (Internal & External)
• Define EPICs and User Stories based on Client Requirements
• Engage with Stakeholders
• Documentation and User Training
• Identify opportunities for automation and AI-ready data use cases

Skills

Analytical skills

Writing skills

Data analysis

Stakeholder management

Communication

Attention to detail

Process reengineering

Education

Bachelor's degree

Tools

SQL

Data Modelling

Web GUI/API

Job description

Citi is seeking a Technology Product Management Senior Analyst to bridge business users, operations, and technologists. The role focuses on defining product requirements, managing backlogs, and driving platform enhancements for the Global Corporate Action Event Repository.

You will engage with data providers and vendors, develop EPICs and user stories, and contribute to automation and AI-ready data use cases while ensuring governance and quality across the data platform.