CSIS AI Transformation and Enablement Senior Lead Analyst; SVP

Position Overview:

The Citi Security and Investigative Services (CSIS) AI Transformation and Enablement Senior Lead Analyst is a senior-level individual contributor responsible for leading AI-driven business transformation initiatives across the organization. Serving as a strategic partner to CSIS leadership, the role identifies, develops, and implements AI-enabled solutions that enhance operational effectiveness, improve decision-making, and accelerate innovation across the Security and Investigative functions and business operations.

The successful candidate will drive AI adoption by translating business needs into AI-enabled solution concepts, prototypes, intelligent workflows, and business capabilities. The role will lead proof-of-concept development, validate business value, and partner closely with Technology teams to industrialize, deploy, and support production-grade solutions. The role requires a blend of business transformation leadership, stakeholder engagement, change management, and applied AI and automation expertise to deliver measurable business outcomes and foster sustainable AI adoption across a complex, regulated environment.

Business

Description:

Citi Security and Investigative Services’ (CSIS) mission is to serve Citi and our clients by protecting their assets and reputation as the industry-leading provider of Security, Investigations, Crisis Management and Intelligence services. The CSIS AI Transformation and Enablement function serves as the strategic lead for AI adoption across the organization, driving business transformation through AI-enabled solutions, intelligent automation, and workflow modernization.

The team partners with business and technology stakeholders to identify high-value opportunities, accelerate adoption of enterprise AI capabilities, and deliver measurable improvements in operational effectiveness, productivity, and decision-making.

• Partner with CSIS leadership to identify, prioritize, and execute AI transformation opportunities that align with organizational objectives and strategic priorities.
• Develop AI adoption roadmaps, business cases, success metrics, and value realization frameworks to ensure measurable business outcomes.
• Serve as a trusted advisor to functional leaders on AI-enabled operating model improvements, workflow redesign, and automation opportunities.
• Lead structured process discovery and workflow redesign engagements with CSIS functional leaders, applying business analysis and process transformation methodologies to identify where AI and automation can deliver the greatest operational impact.

• Design, prototype, and validate AI-enabled solutions and intelligent automation concepts utilizing Citi-approved AI platforms, demonstrating business value and feasibility prior to implementation.
• Translate business requirements into scalable AI solutions that improve productivity, reduce manual effort, and strengthen operational effectiveness.
• Develop proof-of-concept automations, workflow prototypes, and integration patterns using Python and enterprise AI platforms to demonstrate business value and inform production solution design.
• Define and prototype API-based integration approaches between enterprise AI platforms and CSIS business processes, partnering with Technology teams responsible for enterprise implementation and operational support.
• In partnership with Technology, manage solution development, testing, documentation, version control, and deployment activities using enterprise development practices and Git Hub standards.

• Partner with CSIS functional leaders to embed AI capabilities directly into day-to-day workflows, enabling AI-augmented business processes rather than standalone technology solutions.
• Develop and maintain a CSIS AI knowledge repository, including prompt libraries, solution patterns, use cases, implementation guidance, and best practices.
• Drive the practical integration of enterprise AI platforms into CSIS's day-to-day operational workflows, ensuring solutions are embedded, sustainable, and adopted.

• Leverage data science, machine learning, natural language processing, and large language model capabilities as enabling instruments to design agentic workflows, automate knowledge-intensive business processes, and deliver measurable operational outcomes across CSIS.
• Design and deploy advanced AI-powered workflows capable of coordinating multi-step activities, synthesizing information, and supporting operational decision-making.
• Evaluate and recommend the most appropriate AI approaches, models, and platforms based on business requirements and technical feasibility.
• Identify emerging AI capabilities and assess their applicability to CSIS business challenges and operational objectives.