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Director, Business Data Products & Enablement – Deposits & Lending

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-29
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 150000 - 230000 USD Yearly USD 150000.00 230000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Lead development and delivery of scalable, product-based data solutions across Deposits and Lending
  • Manage advanced analytics projects with significant scope and judgment
  • Lead a team of Data and Analytics professionals
  • Responsible for talent acquisition and coaching of data science professionals
  • Foster communication and partnership across all levels of the organization
  • Pursue business outcomes through increased revenue and efficiency
  • Provide strategic direction in data collection and advanced analytic concepts
  • Drive overall team standards to create an inclusive environment
  • Represent the team in various forums and cultivate relationships with Senior Leaders
  • Exercise sound judgment and foster a client centric culture
Requirements
  • Bachelor’s degree or equivalent education and related training or experience
  • 15 or more years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering
  • 10 or more years of progressive data science or analytics management experience
  • Ability to manage in a cross‑functional and collaborative team environment
  • Demonstrated ability to engage and manage diverse internal business partners
  • Innovative and strategic thinker
  • Experience in managing multiple projects with tight deadlines
  • Ability to maintain a high level of competency in statistical and analytical principles, tools and techniques
  • Understanding of various database environments (IBM DB2, Oracle)
  • Technical programming skills (SAS, SQL, Toad)
  • Exposure to applied data science tools (R, Python, SAS E‑Miner)
  • Familiarity with data visualization and BI tools (Tableau, Micro Strategy)
  • Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word)
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