VP Lead Data Scientist - Global Payments & Liquidity

We are seeking a visionary and hands-on Vice President-level Lead Data Scientist to join our Global Payments & Liquidity (GPL) team. In this role, you will work with senior leaders to uncover insights, solve complex problems, and build data-driven solutions that fuel growth, improve products, and deepen customer engagement.
You will analyze product portfolios, identify strategic opportunities, and design solutions that deepen customer relationships and accelerate GPL's growth.
In this role you will:

• Partner and consult with business leaders to understand strategic goals and translate them into data science initiatives.

• Lead the design and implementation of complex solutions and deliverables by utilizing advanced statistical techniques and Machine learning models.

• Collaborate with data engineering and business analysts to ensure scalable and secure deployment of analytics solutions.

• Enforce and establish best practices related to data quality and governance.

• Ensure data quality, model accuracy, and reproducibility through rigorous validation and documentation.

• Communicate insights and recommendations clearly to both technical and non-technical stakeholders.

Required Qualifications:

• 5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of hands-on programming using SQL
• 5+ years of Python experience
• 1+ years of experience in a leadership or mentorship role
• Must have completed a Master's degree level or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, Business Analytics, or computer science

Desired Qualifications:

• Prior experience supporting Agile product teams in a corporate environment
• Strong understanding of banking products and services, including Treasury/Transaction Services in areas such as payables and receivables and working capital solutions
• Knowledge of cloud platforms (e.g., AWS, Azure) and data visualization tools (e.g., Power BI, Tableau).

Job Expectations:

• This role will be required to work on-site in Charlotte, NC. Candidates outside of commuting distance must be willing to relocate.

Base Salary Range for Charlotte, NC: $139,000.00 - $217,000.00 annually. Role is eligible for annual discretionary performance bonus.
Posting End Date:
1 Aug 2025
*Job posting may come down early due to volume of applicants.
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