Director, Trade Data Strategy and Management Lead - Services

Team/Role Overview: Trade and Working Capital Solutions (TWCS) within the Services organization is a dynamic, high‑growth global business offering working capital solutions across Banking, Capital Markets, Mergers and Acquisitions, and Citi Commercial Bank client segments in over 100 countries. As a critical component of the TWCS Business Execution team, the Data Organization is responsible for establishing and implementing the overall data strategy and governance framework, ensuring high‑quality data to drive business value.

• Lead the definition and execution of the Trade Data Strategy and roadmap, ensuring alignment with LOB product visions, design, channel alignment, on‑premise and cloud data strategy for the business and overall product experience.
• Manage a team of data managers responsible for delivering the Technology Book of Work specifically assigned to Data Strategy initiatives.
• Act as the Trade product representative within Data ART (Agile Release Train) scrum teams, collaborating with Technology and Operations to ensure the successful achievement of Data Objectives and Key Results (OKRs) defined by technology investments.
• Work in partnership with the Data Governance team to implement a robust data governance model, data quality, and data management frameworks across TWCS to ensure data integrity, security, curation, conformity to Citi standards and policies, and accessibility.
• Collaborate with Data Engineering teams to define requirements for data architecture, infrastructure, connectivity to internal and external data sources, and tools that support the overall data strategy.
• Identify opportunities to leverage data for business growth, operational efficiency, and enhanced client experience within the Trade business.
• Stay abreast of emerging data technologies, industry trends, and regulatory developments related to data management and analytics in the financial services sector, incorporating relevant insights into the TWCS data strategy.
• Establish and monitor key performance indicators (KPIs) and metrics to measure the success and impact of data initiatives, regularly reporting progress to senior management and stakeholders.
• Lead the creation of TWCS external data services (e.g., online reporting, cash‑flow analytics services, asset and data marketplaces, billing information), the self‑serve data consumption strategy and plan.
• Drive data‑driven decision‑making processes by providing insights and recommendations based on comprehensive data analysis.
• Foster strong partnerships with stakeholders across Business, Technology, Operations and lead the TWCS engagement with TTS PDS team on all data initiatives to ensure a unified approach to data strategy and management.
• Produce internal MI dashboards to support improved decision making across product operating model, profitability/unit cost, client returns, capital/RWA distribution, origination, operations metrics, resource allocation, client service, etc.
• Drive data analytics insights, using data to drive business actions and growth such as client origination, client cross‑sell, multi‑product, multi‑region, resource allocation, etc.
• Familiarity with risk analytics associated with real‑time risk management of a wholesale credit‑lending business and its associated risk management.

• Significant experience in data strategy, data management, or related consulting roles within financial services, with leadership experience.
• Proven ability to architect a clear data strategy that supports business objectives, including data acquisition, storage, processing, and consumption.
• Deep expertise in establishing and enforcing robust data governance policies, standards, and procedures (data ownership, stewardship, metadata management, data lineage).
• Proficiency in implementing data profiling, cleansing, validation, and continuous monitoring to ensure high data accuracy and reliability.
• In‑depth understanding of regulatory requirements in financial services (GDPR, CCPA, BCBS 239, data privacy laws) and translating them into actionable data policies.
• Strong grasp of data architecture principles (data warehousing, data lakes, data…