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Director, Business Data Products & Enablement – Deposits & Lending
TruistDirector leading data product solutions within Deposits and Lending at Truist. Responsible for data strategy and analytics projects to drive business value.
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesOraclePythonSQLTableau
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)