Head of Operational Wealth Management Data - Citi Global Wealth Management - C16 - JERSEY CITY

Citi Global Wealth is a leading provider of financial solutions for affluent, high net worth, and ultra-high net worth clients globally. We are committed to service excellence and seizing opportunities for our clients through the wealth continuum. The technology organization is building a purpose-driven team to serve its globally diverse, digitally forward customers. We are seeking exceptional candidates who think digitally and differently, resolve problems in unconventional ways, and strive to provide a remarkable experience for our clients. We define success by our Citi Leadership Standards: Develops our People, Drives Value for Clients, Works as a Partner, Champions Progress, Lives our Values, and Delivers Results.

The Role

We are seeking a highly skilled and experienced senior data leader to join our Wealth Management Technology team. This pivotal role will be responsible for managing and optimizing operational data within middle office functions, with a specific focus on client, account, advisor, and financial data. The ideal candidate will manage critical Systems of Record (SORs) for Wealth Management, and support client and advisor-facing operational functions from a data perspective, while driving efforts to simplify our existing data landscape.

Responsibilities:

• Operational Data Management & Governance:
  • Define and implement operational data strategies and roadmaps for wealth management middle office functions, ensuring alignment with business objectives and regulatory mandates.
  • Establish and enforce robust data governance policies, standards, and best practices for operational data quality, integrity, and security across client, account, advisor, and financial data domains.
  • Manage and ensure the health, consistency, and completeness of critical Systems of Record (SORs), guaranteeing data accuracy and reliability.
  • Implement and oversee processes for client data survivorship, ensuring a single, accurate, and up-to-date view of client information across systems.
  • Develop and maintain data lineage, data dictionaries, and metadata management for operational data flows, ensuring comprehensive understanding of data assets.
• Operational Data Architecture, Performance & Scalability:
  • Design, develop, and maintain robust data models (conceptual, logical, physical) specifically tailored for operational systems, focusing on optimal performance, transactional integrity, and efficient data propagation.
  • Oversee the integration of various operational data sources, ensuring seamless data flow and consistency for downstream client and advisor-facing applications, while actively driving the simplification of the current complex data landscape.
  • Design and implement efficient, real-time, or near real-time data pipelines for operational data ingestion, transformation, and distribution, with a strong focus on scalability, resilience, and high availability.
  • Architect data solutions that are inherently scalable to accommodate growing data volumes and transaction rates, without compromising performance or stability.
  • Implement strategies to ensure the resiliency of operational data systems, including disaster recovery, backup mechanisms, and fault-tolerant designs, to minimize downtime and data loss.
  • Continuously monitor and optimize data systems for peak performance and uninterrupted availability, ensuring critical business operations have constant access to accurate data.
• Data Analysis & Remediation:
  • Conduct in-depth analysis of operational data to identify data quality issues, inconsistencies, and patterns related to client onboarding, account servicing, advisor activities, and transactional financial data.
  • Collaborate with business and technology teams to proactively identify and remediate operational data defects, implementing systemic solutions to prevent recurrence.
  • Utilize data profiling techniques to continuously monitor and improve the quality of data residing in SORs.
• Strategic Simplification & Landscape Optimization:
  • Actively identify opportunities to simplify and rationalize the existing operational data landscape, reducing redundancy, complexity, and technical debt.
  • Lead initiatives to consolidate data sources, streamline data flows, and deprecate legacy systems where appropriate, improving overall operational efficiency and reducing cost.
  • Champion best practices in data architecture and engineering that promote simplicity, maintainability, and agility within the wealth management technology stack.
• Support for Client & Advisor Facing Functions:
  • Provide critical data expertise and support for operational client and advisor-facing functions, ensuring timely access to accurate and reliable data th