Master and Reference Data Strategy Group Manager

Overview

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients.

Citi’s Mission and Value Proposition explain what we do and Strategy explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve.

The Master and Reference Data Strategy Group Manager is responsible for defining and establishing the Enterprise-wide Master and Reference Data Strategy for the enterprise in coordination with the Data Governance team. The overall objective is to support the creation, maintenance and adoption of a unified and consistently defined fit-for-purpose enterprise-wide Reference and Master Data domains.

This role is responsible for the governance framework and supporting processes to effectively govern and embed Master and Reference Data across Citi. The responsibilities will include designing relevant processes to govern domain level capabilities and data lifecycle capabilities, and/or integrate demand and supply, while managing delivery across Operations, Technology, Risk and Controls, Finance, Risk and Compliance processes. A good understanding of business processes across client onboarding, operations, risk and finance within the financial services industry and data management is essential.

The role entails leading a team of professionals. This position requires a thorough understanding of enterprise data capabilities combined with practical experience of implementing them in a complex organization. Excellent communication skills are required to influence internally, often at a senior level.

• Full management responsibility of a team of professionals, including management of people, to include performance evaluation, compensation, hiring, disciplinary actions/terminations and budget approval
• Lead the design, reviews and ratification of Master and Reference Data Governance framework and supporting processes for domain level and data capabilities across Citi
• Develop detailed processes that are aligned to the Reference Data strategy / architecture enablement
• Ensure alignment to the enterprise data governance policy and standards to meet its specific requirements
• Influences and negotiates with senior leaders (across functions); may communicate and negotiate with external parties
• Develops and manages the strategy (architectural or adoption or governance or portfolio) for a group (portfolio) of domain
• Ensure the Enterprise Reference Data processes and tooling are created and implemented in a manner that creates value for businesses to adopt
• Partner with Functions, Businesses and Regions to identify gaps in current data domain and lifecycle governance and management processes, and ensure data governance objectives, framework, and processes are well understood and meets business needs and regulatory requirements
• Drive the successful delivery of all MRD projects ensuring stream lead and business expectation is always met or exceeded on requirements, time, cost and quality

• 10+ years of experience, Banking or Finance industry preferred in a quantitative field (e.g. engineering, computer science, business, economics, finance, statistics, and/or analytics)
• Deep knowledge of financial data, along with an understanding of regulatory, compliance, risk management and financial management concerns
• Proven ability to act independently, work quickly and with careful attention to detail, juggle multiple priorities and thrive in a varied, fast-paced environment
• Excellent organizational skills with ability to manage multiple projects simultaneously
• Strong analytical and problem-solving skills, appreciation of the enterprise data vision
• Self-motivated, with the ability to make decisions in the absence of detailed…