Retail Banking Analytics Manager - Charlotte

Citi • O'fallon, MO

1d • $145,840 - $218,760 • Hybrid

About The Position

Citi is seeking a Retail Banking Analytics Manager to lead a high-performing team of data analysts within the Wealth Intelligence organization. Reporting directly to the Head of Retail Performance Execution, this role uses advanced analytics to shape the strategic direction of Citi’s US Retail Banking and Citigold businesses. The manager turns complex data into clear business decisions that support deposit, lending, and investment growth.

This senior leadership role combines data science, financial services expertise, and executive-level influence. It includes full people-management responsibilities and ownership of an analytics function, with responsibility for leading AI adoption and applying AI and machine-learning methods to business challenges. The position is based in Charlotte, North Carolina, and follows a hybrid model of three days in the office and two days remotely.

Requirements

• At least 10 years of experience in analytics, financial or business analysis, or credit and risk analysis within financial services.
• Demonstrated ability to lead and develop analytical teams, including performance evaluation, hiring, and resource planning.
• Expert knowledge of advanced statistical techniques and experience applying them to achieve measurable business results.
• In-depth understanding of financial services business models and the ability to connect analytical outputs to commercial drivers.
• Practical experience using AI and machine-learning tools to solve business problems, including the ability to contribute directly to AI-driven analysis and guide a team in applying these techniques.
• Proficiency with data querying and compilation tools to extract and structure data sets for analysis at scale.
• Project planning and delivery management skills, including overseeing multiple workstreams and meeting senior stakeholder expectations.
• Analytical thought leadership and a record of shaping strategy through data.
• Ability to lead AI adoption within an analytics function by identifying measurable business value and translating it into team practices and outcomes.

Nice To Haves

• Master’s degree in a quantitative, analytical, or business-related discipline.
• Experience applying analytics in specialized domains such as marketing, risk, digital, or financial crime.
• Familiarity with data visualization techniques and tools for communicating complex findings to non-technical audiences.
• Creative problem-solving ability, including formulating analytical solutions for ambiguous or novel business challenges.

Responsibilities

• Lead a team of data analysts across concurrent projects, setting priorities, managing deliverables, and maintaining accountability for outcomes.
• Champion adoption of AI-driven approaches and develop the team’s capability in emerging AI methodologies relevant to retail banking.
• Partner with senior leadership to translate advanced analytics into strategic recommendations that optimize coverage models and improve frontline performance.
• Analyze large, complex internal and external data sets to evaluate business strategies and measure the effect of commercial decisions on deposit, lending, and investment growth.
• Design and implement data collection, processing, and cleaning workflows; apply statistical models, algorithms, and data visualization techniques for exploratory and predictive analysis.
• Identify and compile data sets using tools such as Python and SQL to predict, improve, and quantify the success of business-to-business outcomes.
• Document data requirements and analytical findings so that technical work supports actionable executive decisions.
• Assess risks associated with analytical outputs and business recommendations, ensuring sound judgment and adherence to applicable standards and regulatory requirements.
• Use AI-powered tools and machine-learning techniques as a hands-on contributor and team leader, embedding intelligent automation into analytics workflows to improve the speed and precision of business insights.
• Manage team performance, hiring, and resource planning.

Benefits

• Hybrid working model with three days in the office and two days remotely.
• Ongoing learning and development opportunities.
• Competitive compensation and financial wellbeing support.
• Medical, dental, and vision coverage.
• 401(k).
• Life, accident, and disability insurance.
• Wellness programs.
• Paid time off, including vacation, sick leave, and paid holidays.
• Eligible employees may receive discretionary and formulaic incentive and retention awards.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed