AI Analytics & Enablement - Vice President

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

Whether you’re at the start of your career or looking to discover your next adventure, your story begins here.  At Citi, you’ll have the opportunity to expand your skills and make a difference at one of the world’s most global banks.  We’re fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning.  You’ll also have the chance to give back and make a positive impact where we live and work through volunteerism.

At the forefront of transforming Internal Audit, the Digital Solutions and Innovation (DSI) team is a powerhouse of AI-driven ingenuity. We design and deploy cutting-edge AI/ML solutions that empower audit professionals to work smarter, faster, and with deeper insight. Our mission is to reimagine how audits are conducted—leveraging advanced technologies like Large Language Models (LLMs), AI agents, and cloud-native architectures to deliver scalable, intelligent tools that enhance efficiency, deepen insights, and empower auditors with elevated capabilities for assurance.

We operate with a startup mindset inside a global enterprise—rapidly prototyping, iterating, and deploying solutions that make a real impact. Our culture is rooted in curiosity, experimentation, and a relentless drive to innovate. If you're passionate about pushing boundaries and building the future of audit, this is the team for you.

This role involves performing analytics on AI usage, driving the strategic oversight and reporting to senior leadership and ensuring AI capabilities deliver value-added assurance, identifying areas of opportunity for continuous improvement, glean broader and deeper insights, enable efficiencies, and promote better quality and consistency in Internal Audit. In addition, this role aims to cultivate a thriving culture of AI literacy and accelerate the effective adoption of AI at Internal Audit through the development and delivery of training initiatives.

Role Overview:

The AI Analytics & Enablement Lead Analyst is a pivotal role focused on overseeing, analyzing, monitoring, and enabling the effective use and continuous improvement of AI capabilities integrated with Internal Audit's applications. This role requires a strong understanding of AI/ML concepts and techniques, including generative AI, agile methodologies, cloud computing, and intelligent chatbots.

A significant success factor will be the automation and continuous monitoring of AI tool performance, robust documentation of metrics, and clear, impactful communication and presentation of results to pertinent audiences, including senior leadership. This role requires strong literacy in AI, coupled with a creative, imaginative, forward-looking attitude, and a total quality assurance orientation to drive positive and measurable impact on DSI and Internal Audit.

This role will also be focused on supporting the development and delivery of AI training initiatives, encompassing key AI/ML concepts and practical application of Citi’s and Internal Audit’s AI capabilities, along with ethical and risk considerations. This involves designing tailored curricula and continuously refining training based on feedback to foster a culture of AI literacy and accelerate the effective adoption of AI throughout Internal Audit.

This is more than a job; it's an opportunity to leave an indelible mark on how a global financial institution leverages AI to safeguard its future. If you are passionate about innovation, possess an unyielding drive for excellence, and are ready to empower an entire function with the power of artificial intelligence, we invite you to apply.

Responsibilities:

• Perform in-depth analytics on AI/ML usage to understand trends, patterns, and pain points, implementing a sustainable feedback loop to ensure positive, continually improving user experiences and tool optimization.

• Monitor and analyze the performance and impact of deployed AI/ML tools within the integrated audit systems, identifying areas for enhancement to continuously increase adoption.

• Design, develop, and deliver comprehensive training programs, workshops, and user documentation for Internal Audit personnel on the effective and ethical use of AI tools and capabilities.

• Prepare and present executive-level status decks and reports on AI tool utilization, performance metrics, training effectiveness, and strategic insights to senior leadership, clearly articulating the value proposition and areas for strategic focus.

• Translate complex AI concepts and analytical findings into clear, actionable insights for non-technical stakeholders, fostering a deeper understanding and adoption of AI within Internal Audit.

• Continuously gather and synthesize feedback from Internal Audit users to inform continuous improvement of AI tools, training content, and user support mechanisms.

• Assess current AI/ML capabilities and chart a path for continuous improvement of their value and impact based on usage data and user feedback.

• Help shape the direction of machine learning and artificial intelligence capabilities in DSI by providing data-driven insights on user needs and adoption challenges.

• Support the preparation of model risk management (MRM) documentation related to AI tool performance and accuracy.

• Apply strong project management skills to develop and execute plans for analytics initiatives, reporting cycles, and training rollouts, demonstrating progress toward objectives.

• Utilize excellent communication skills to ideate, educate, and present internally and externally, often at senior levels, acting as a key proponent for AI adoption.

Qualifications:

• 8+ years' experience in AI/ML analytics, performance monitoring, and enabling user adoption, preferably within a financial services or audit context.

• Extensive experience in analytics, reporting, and visualization for the analysis and presentation of results in Tableau or similar. Cognos Analytics experience is a plus.

• Strong understanding of AI/ML use cases, with experience in analyzing and reporting on their effectiveness and user engagement.

• Extensive experience with data extraction and transformation, including testing and using APIs.

• Solid understanding of data structures and data models for effective data analysis and reporting.

• Understanding of conversational AI concepts, including intents, entities, dialogs, actions, journeys, and experiences, to analyze chatbot performance and user interactions.

• Understanding of application usability and user experience (UI/UX) to inform effective training and adoption strategies.

• Proven ability to develop and deliver effective training programs and materials to diverse audiences.

• Demonstrable experience working with stakeholders and exceeding their expectations in communication and delivery.

• Possess an innovative, forward-looking, and imaginative mindset to continually reach for new horizons in AI capabilities.

• Takes responsibility and accountability for planning, execution, and delivery of analytics and training initiatives.

• Adept at developing new ideas and improving current processes related to AI analytics, usage monitoring and training.

• Considers broad implications of decisions to different functions and units.

Knowledge and Skills:

• Proficiency in data visualization and business intelligence tools such as Tableau, IBM Cognos, Power BI, MicroStrategy, or similar.

• Adept at using “storytelling” to convey complex ideas and results in a visually appealing and easy-to-understand manner

• Advanced level Python coding for data analysis and ETL process automation.

• Advanced SQL for data querying and extraction.

• Analysis and reporting of AI/ML model performance metrics and user engagement.

• Analytics experience over AI, machine learning, NLP, NLU, LLMs, generative AI or similar.

• Strong orientation for UI/UX design. Experience developing Figma mock-ups is a plus.

• SaaS environments and cloud computing knowledge is preferable.

• Agile and waterfall project management methodologies; JIRA is a plus.

• Excellent presentation, public speaking, and written communication skills to articulate complex analytical findings, benefits, and training concepts.

• Familiarity with the Financial Services industry and/or auditing practices is a plus.

Education:

• Bachelor's degree in Data Science, Computer Science, MIS, or related discipline.

• Master's degree is a plus.

• CISA, PMP, Agile/Scrum, Cloud Computing, Six Sigma, or related certifications are a plus.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Take the next step in your career, apply for this role at Citi today

https://jobs.citi.com/dei

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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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