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Truist

Director, Business Data Products & Enablement – Deposits & Lending

Truist

Director leading data product solutions within Deposits and Lending at Truist. Responsible for data strategy and analytics projects to drive business value.

Posted 6/24/2026full-timeCharlotte • North Carolina • 🇺🇸 United StatesLeadWebsite

ATS Keywords

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Hard Skills
data scienceanalytics managementstatistical principlesanalytical techniquesSASSQLRPythondata visualizationbusiness intelligence
Soft Skills
leadershipcommunicationcollaborationstrategic thinkingproject managementclient centricityteam buildingcoachingrelationship managementinnovative thinking
Tools & Technologies
IBM DB2OracleToadSAS E-MinerTableauMicroStrategyMicrosoft Office SuiteExcelPowerPointWord
Industry Keywords
BankingFinanceDecision ScienceApplied MathematicsEngineeringdata collectionadvanced analyticscross-functional teamsdiverse business partnersinclusive environment

Tech Stack

Tools & technologies
OraclePythonSQLTableau

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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, MicroStrategy)
  • Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word)

Benefits

Comp & perks
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Disability
  • Accidental death and dismemberment
  • Tax-preferred savings accounts
  • 401k plan
  • 10 days of vacation
  • 10 sick days
  • Paid holidays
  • Defined benefit pension plan (may be eligible)
  • Restricted stock units (may be eligible)
  • Deferred compensation plan (may be eligible)