Reference Data Lead – Technology Product Management – VP

Overview

As part of Citi’s Corporate Actions Product & Data Team, you will lead the definition of business and functional requirements for complex Corporate Action initiatives and drive the product backlog. You will partner with clients and cross-functional partners to shape data-driven solutions on a global platform, focusing on governance, data quality, and automated workflows. You will shape interfaces (Web GUI/API) and ensure timely deliveries through strong stakeholder engagement and release governance. This role offers scope to influence data models, vendor integrations, and AI-ready data use cases at scale.

Responsibilities

• Lead the creation of business and functional requirements, epics, and user stories for Corporate Action initiatives
• Drive product backlog management, refinement, and sprint prioritization
• Lead data modelling and mapping across vendors and internal feeds
• Perform data mining, profiling, transformation, and SQL-based validation
• Collaborate with Clients, Operations, IT, and PMO to align on roadmap and delivery
• Define interface strategy for Web GUI and API
• Coordinate engagements with Data Providers and Vendors
• Define and govern Golden Copy rules and vendor source hierarchy logic
• Identify automation opportunities and AI-ready data use cases
• Manage stakeholder expectations, roadmap delivery, training, and release governance

Key requirements

• Working with senior stakeholders to capture business and product requirements
• Strong analytical skills with experience documenting specifications, epics, and user stories
• Expertise in Master/Reference Data space (preferred Instrument or Corporate Actions lifecycle)
• Validation and testing in collaboration with Dev/QA/Operations
• Experience with business process reengineering, modern architectures (Cloud, APIs)
• Ability to work independently and manage multiple priorities under pressure
• Proficiency in SQL, data analysis, and understanding of data models
• Data oriented with excellent attention to detail

• Stakeholder management
• Clear written and verbal communication
• Analytical mindset and attention to detail
• SQL
• Data modelling
• API interfaces

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