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The Director for the Data Transfer Office is one of the key leadership roles supporting the execution of Citi's enterprise data transfer and data use compliance framework. Reporting directly to the Head of Transfer Office within IMPaCT, this role is responsible for defining and implementing scalable, efficient processes to manage end-to-end clearance activities in line with data privacy, bank secrecy, data localization, and outsourcing requirements. It involves leveraging technology disciplines, AI governance, and regulatory frameworks to drive strategic transformation and operational efficiency.
Job Responsibility:
Lead and manage execution of the cross-border data transfer lifecycle, ensuring compliance with privacy, data outsourcing, localization, and sovereignty requirements
design and optimize regulatory processes, embedding legal and control requirements into simplified, reusable, and scalable workflows
conduct process maturity assessments and define future-state execution models aligned with enterprise data policy
act as a strategic thought partner to senior stakeholders in risk, compliance, technology, and business to embed data transfer governance
serve as escalation point for complex or high-risk data transfer cases requiring legal interpretation or senior stakeholder alignment
build and lead a high-performing team of governance professionals, fostering a culture of accountability, innovation, and responsible data and AI use
drive end-to-end simplification, redesigning complex approval and documentation paths while maintaining risk integrity
lead large-scale transformation efforts, applying automation, AI, and analytics to improve operational efficiency and control transparency
specifically address the intersection of generative AI and data protection frameworks
implement practical tools and case studies for responsible data use in AI processes
incorporate global regulatory perspectives and strategies, in AI data processing/responsible data use context
build, govern and maintain the Data Transfer Register to ensure accuracy, completeness, and audit traceability
collaborate with product and UX partners to implement intuitive, automation-friendly workflows that support policy adherence
create and deliver clear, scalable process guidance—playbooks, templates, training materials—to support global adoption
represent the function in audits, challenge forums, and regulatory reviews, defending execution rigor and driving continuous enhancement
partner with stakeholders and business leaders to influence action and desired strategy outcomes
develop and implement a dynamic people strategy that empowers employees, drives organizational agility, and enables business objectives in a rapidly evolving environment
Requirements:
15+ years of experience in privacy, data outsourcing, cross-border transfer governance, and regulatory compliance execution within large global institutions
proven ability in leading simplification programs at scale, transforming legacy processes into agile, compliant workflows
demonstrated experience in consulting roles, with a strong track record of driving strategic change, stakeholder alignment and process optimization across complex, matrixed environments
experience designing and implementing end-to-end regulatory frameworks and associated control environments
strong product management credentials, with expertise in program delivery, stakeholder management, and data-driven decision-making
deep understanding of technology disciplines, including metrics, analytics, and ability to drive enterprise change programs in a regulated environment
strong understanding of global privacy laws (e.g., GDPR), data residency/localization requirements, and third-party data transfer frameworks
demonstrated success in regulatory interaction, audit engagement, and stakeholder alignment across global teams
background in process transformation, including automation, policy-driven execution models, and metrics-based decision-making
track record of leading high-performing, cross-functional teams across geographies
experience in navigating the intersection of generative AI and data protection
proficiency in developing strategies for evolving data within global regulatory landscapes
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