Job
Description
The IMPaCT Team integrates Cross Border Data Clearance, the Enterprise Data Office, Transfers, and Records and Information Management. The Enterprise CBDC (Transfer Office) builds and implements Citi's enterprise-wide data transfer framework and operating model. This framework ensures regulatory adherence, minimizes operational risks, and promotes effective data governance. We are seeking a dynamic Senior Vice President (SVP) to lead and operationalize the cross-border data transfer clearance process for a major business segment. This role requires expertise in regulatory execution, data transfers, and process leadership, with a strong emphasis on automation, AI tooling, strategic communication, and data-driven insights. The SVP will be responsible for defining and scaling the enterprise data transfer framework, advising business partners, and ensuring timely and compliant execution across jurisdictions. A deep understanding of data transfer regulations, strong leadership skills, and a proven ability to drive results are essential for this role within the Data Transfers Office. The SVP will also be responsible for facilitating governance and oversight, operational risk management, and controls leadership, focusing on data transfers. This includes supporting data transfer capabilities, ensuring compliance with the Citi Global Transfers Policy, identifying and managing operational risks, and ensuring effective controls and monitoring. Leveraging technologies such as AI and machine learning to optimize data transfer processes, enhance risk detection, and improve efficiency will be a key aspect of this role. Key Responsibilities: - Leadership & Operational Excellence: Lead cross-border data clearance activities for a major business segment, covering data transfers, outsourcing, localization, and data sovereignty. Manage operations, ensure regulatory adherence, and drive process efficiency through technology and automation. - Strategic Operating Model: Design and implement a scalable and efficient operating model aligned with Citi's global data transfer framework. Optimize processes, incorporating AI-driven solutions for decision-making and risk management. - Cross-Functional Collaboration: Collaborate with global legal, compliance, technology, and business teams. Build consensus and foster collaboration between technical and non-technical teams. - Innovation & Automation: Drive product and automation development, including AI-powered decision support systems, workflow integrations, and intelligent dashboards. Stay abreast of AI advancements and champion their adoption. - Data Governance & Ownership: Own and maintain the business-aligned Data Transfer Register, ensuring traceability, accuracy, and audit readiness. Establish data governance policies and leverage technology to automate data quality checks. - Data-Driven Insights & Analytics: Conduct in-depth analysis to evaluate process performance and provide data-driven recommendations. Leverage AI-powered analytics for insights into data transfer patterns and trends. - Advisory & Guidance: Advise business partners on framework implementation, regulatory interpretation, and best practices for data transfers. Develop training materials and highlight the benefits of technology and AI. - Knowledge Management & Content Creation: Produce high-quality content (playbooks, guidance, FAQs) to simplify and scale process knowledge related to data transfers and AI. - Risk Management & Mitigation: Proactively review execution quality, escalate risks, and develop remediation strategies. Leverage AI-powered risk detection tools. - Data Transfers Governance: Facilitate activities to support governance and oversight of data transfers, operational risk management, and controls leadership. - Risk Identification and Management: Identify and manage operational risks associated with data transfers. Conduct Control Effectiveness Assessment, Controls Enhancement, Policy and Procedure Assessment, Issue Management, and Risk and Controls Reporting. Qualifications & Experience: - Experience: 12+ years in data transfers, regulatory operations, legal, compliance, or data governance within global financial institutions. - Team Leadership: Proven success in managing and developing cross-functional teams. - Regulatory Knowledge: Strong knowledge of international laws and cross-border regulations related to data transfers (GDPR, CCPA, etc.). - Technical Proficiency: Hands-on experience with automation tools, workflow platforms, and AI integration. A solid understanding of AI concepts and machine learning is highly desirable. - Risk & Control Expertise: Expertise in risk and control frameworks related to data transfers, privacy, and operational risk. - Consulting Experience: Prior consulting experience is beneficial. - Certifications: CIPP/CIPM/CIPT/CISA certifications are an advantage. Certifications related to AI, data science, or cloud computing are also valued. - Technical Skills: Mastery of MS Office tools. Proficiency in data analytics tools, programming languages (Python), is a plus. Ideal Candidate Profile: The ideal candidate will possess adaptability & resilience, problem-solving & innovation, collaboration & influence, industry knowledge, analytical & leadership skills, communication mastery, and a passion for leveraging technology and AI. Education: Bachelor's/University degree, Master's degree preferred.,
