AI Business Analyst (Forward Deployment Engineer)

Citibank (Switzerland) AG; Jersey City, Northern (NJ, KY); On-site; Confidential; Full time

Job summary

Citibank (Switzerland) AG in Jersey City, NJ, is seeking an IT Business Senior Analyst (Forward Deployed Engineer - AI Solutions). This role works at the front lines translating business needs into scalable AI/GenAI solutions, bridging business strategy with ML engineering.

You will collaborate with data scientists, ML engineers, and business users to implement AI projects, ensure smooth integration, and guide the product roadmap while maintaining risk controls and governance.

Qualifications

• 4+ years in business analysis, systems integration, or tech consulting.
• Strong understanding of AI/GenAI technologies and LLMs.
• Programming experience (Python/SQL) preferred for scripting and troubleshooting.
• Proficiency in data analysis and MS Office; data science knowledge a plus.
• Excellent interpersonal and communication skills; ability to collaborate with technical and business teams.

Responsibilities

• Formulate system scope and objectives for AI/GenAI projects.
• Translate business requirements into technical specifications for data scientists and ML engineers.
• Support end-to-end AI implementation and integration with existing systems.
• Develop custom scripts, integrations, or workflows for AI applications.
• Bridge front-line users and AI research/engineering teams with feedback and roadmap input.
• Educate teams on leveraging AI solutions and best practices.
• Identify risks, data privacy, bias, and ethical considerations.
• Collaborate with analysts and stakeholders to achieve business objectives.
• Operate with some autonomy as SME to senior stakeholders.

Skills

AI/GenAI Knowledge

Python/SQL

Data Analysis

Stakeholder Management

Communication

Education

Bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics, or equivalent experience

Job description

Introduction The IT Business Senior Analyst (Forward Deployed Engineer - AI Solutions) is an intermediate-level position responsible for liaising between business users, data scientists, ML engineers, and technologists to translate business requirements into scalable AI/GenAI solutions. Operating as a Forward Deployed Engineer (FDE), this role works directly on the front lines of implementation, helping business units integrate and maximize the value of AI products and platforms. The overall objective of this role is to drive continuous iterative exploration of AI capabilities, design custom solutions, and bridge the gap between business strategy and advanced machine learning engineering.

Responsibilities

AI Solutioning & Translation: Formulate and define systems scope and objectives for complex AI/GenAI projects, fostering seamless communication and translating business requirements into technical specifications for Data Scientists and ML Engineers.

Implementation & Integration: Support the end-to-end AI implementation and system change processes—from translating Business Requirement Documents (BRDs) to functional specifications, through model deployment, testing, and integration with existing systems.

Customization & Scripting: Consult with business clients to determine functional specifications for AI applications, developing custom scripts, integrations, or workflows to tailor AI/GenAI products to the unique needs of the business.

Advanced Troubleshooting: Consult with users and clients to solve complex system and model integration issues through in-depth evaluation of business processes, AI/ML systems, and industry standards, recommending tailored technical solutions.

Feedback Loop & Product Advocacy: Act as a critical bridge between front-line business users and core AI research/engineering teams. Gather direct feedback, identify model performance pain points, and relay insights from the field to help guide the AI product roadmap.

Enablement & Training: Educate business and technical teams on how to leverage deployed AI solutions effectively, promoting best practices in prompt engineering, model interaction, and operational maintenance.

Risk & Impact Management: Identify and communicate risks and impacts (including AI model limitations, data privacy, bias, and ethical considerations), evaluating the business implications of applying GenAI/ML technologies to the current business environment.

Leadership & Collaboration: Act as advisor or coach to new or lower-level analysts and work as a team to achieve business objectives, performing other duties and functions as assigned.

Autonomy: Has the ability to operate with a limited level of direct supervision, exercising independence of judgment and autonomy while acting as an SME to senior stakeholders and/or other team members.

Compliance & Safeguarding: Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm’s reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications

Experience: 4+ years of relevant experience in business analysis, systems integration, or technical consulting.

AI/GenAI Knowledge: Strong understanding of AI/GenAI technologies, Large Language Models (LLMs), and machine learning workflows, with a proven ability to translate business solutions into AI-driven applications.

Programming Skills: Previous programming experience (e.g., Python, SQL, or R) is highly preferred to facilitate customization, scripting, and technical troubleshooting.

Data Analysis: Experience in data analysis with intermediate/advanced Microsoft Office Suite skills; familiarity with data science methodologies is a plus.

Stakeholder Management: Proven interpersonal, data analysis, diplomatic, and prioritization skills, with the ability to collaborate effectively with highly technical teams (Data Scientists, ML Engineers) and non-technical business leaders.

Communication: Consistently demonstrate clear, concise, and diplomatic written and verbal communication.

Adaptability: Proven ability to manage multiple activities, build/develop working relationships, and master new technologies quickly under pressure.

Execution: Demonstrated ability to approach work methodically with attention to detail and meet tight deadlines.

Education: Bachelor's degree/University degree in Computer Science, Information Systems, Data Science, Business Analytics, or equivalent experience.

This job description provides a high-level review of the types of work performed.

Other job-related duties may be assigned as required.

Time Type: Full time

Primary Location: Jersey City New Jersey United States

Primary Location Full Time Salary Range: $98,960.00 - $148,440.00. In addition to salary, Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.

Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays.

For additional information regarding Citi employee benefits, please visit citibenefits.com.

Available offerings may vary by jurisdiction, job level, and date of hire.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.