Technical Lead Business Analyst - Wholesale Lending - Vice President

You are a highly motivated and experienced individual seeking to join Citibank's Regulatory and Analytics (R&A) team as a Vice President. Your primary focus will be on supporting the development and deployment of AI use cases in wholesale lending, as well as ensuring the implementation of best-in-class data quality management policies and procedures. Key Responsibilities: - AI Use Case Development in Wholesale Lending: - Act as a business subject matter expert (SME) in the development and integration of AI use cases for wholesale lending products. - Collaborate with business leaders, data scientists, and technology teams to define AI use cases, ensuring alignment with business objectives and regulatory requirements. - Provide business insights and guidance in the creation, testing, and integration of AI models and solutions. - Evaluate the impact of AI implementations on lending processes and outcomes. - Data Quality Management: - Support the development and implementation of best-in-class Data Quality management policies, procedures, and capabilities. - Work closely with business leaders, the Data Quality organization, Data Owners, Technology Owners, and Enterprise Data Office personnel teams to ensure data quality standards are met. - Participate in the continuous improvement, monitoring, control, and governance of Data Quality. - Contribute to programs aimed at enhancing data quality across the organization. - Regulatory Reporting Operating Model: - Assist in the implementation of a robust operating model across all regulatory reports supported by the Regulatory & Analytics team in EDO. - Ensure the operating model supports the end-to-end filing lifecycles of regulatory reports. - Collaborate with stakeholders to streamline processes and improve efficiency in regulatory reporting. - Subject Matter Expertise and Issue Resolution: - Provide subject matter expertise to address issues encountered during the production cycle of regulatory reports. - Offer tactical solution designs and guidance on interpretive issues relating to reporting instructions and their implementation. - Support the resolution of data-related issues to ensure accurate and timely regulatory filings. Qualifications: - Bachelor's degree in Finance, Business Administration, Data Science, or a related field - Minimum of 10 years of experience in the financial services industry, with a focus on wholesale lending and regulatory reporting. - Strong understanding of wholesale lending products and processes. - Familiarity with current AI technologies and their applications in the financial industry. - Solid grasp of regulatory frameworks such as FR-Y14, Shared National Credit, and 2052a and their reporting requirements within a large banking institution. - Experience in developing and implementing data quality management policies and procedures. - Excellent analytical, problem-solving, and communication skills. - Strong grasp of business intelligence and data visualization software: Excel, Tableau, PowerPoint - Ability to collaborate effectively with cross-functional teams and stakeholders. - Proven ability to provide subject matter expertise and resolve complex issues. Preferred Qualifications: - Intermediate to advanced skills with business intelligence and data visualization software: Microsoft Excel, Microsoft PowerPoint, Tableau - Certifications in data management or related fields 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. You are a highly motivated and experienced individual seeking to join Citibank's Regulatory and Analytics (R&A) team as a Vice President. Your primary focus will be on supporting the development and deployment of AI use cases in wholesale lending, as well as ensuring the implementation of best-in-class data quality management policies and procedures. Key Responsibilities: - AI Use Case Development in Wholesale Lending: - Act as a business subject matter expert (SME) in the development and integration of AI use cases for wholesale lending products. - Collaborate with business leaders, data scientists, and technology teams to define AI use cases, ensuring alignment with business objectives and regulatory requirements. - Provide business insights and guidance in the creation, testing, and integration of AI models and solutions. - Evaluate the impact of AI implementations on lending processes and outcomes. - Data Quality Management: - Support the development and implementation of best-in-class Data Quality management policies, procedures, and capabilities. - Work closely with business leaders, the Data Quality organization, Data Owners, Technology Owners, and Enterprise Data Office personnel teams to ensure data quality standards are met. - Participate in the continuous improvement, monitoring, control, and govern