Truist Data Profiling Director 

United States, North Carolina, Charlotte 

541252021

Regular or Temporary:

English (Required)

1st shift (United States of America)
Please review the following job description:

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Manage significant advanced analytics projects which involve broad latitude and judgment regarding the management of assigned projects including scoping, approach design, assignment of tasks, and accountability for deliverables.

8. Collect and formulate business requirements via interviews and user discussions

9. Document functional requirements, business processes, use-cases and other project artifacts

10. Write, execute and debug SQL queries to confirm data completeness, correctness, data transformation and data quality testing.

11. Leverage industry profiling tools Informatica Data Quality/ Attacama and be familiar with leading industry data governance tools like Alation and Manta.

12. Create data scorecards within Informatica Data Quality for inbound data feeds

13. Create, define and document maps for inbound data feeds to internal targets using industry toolsets

QUALIFICATIONS
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Bachelor’s degree or equivalent education and related training or experience, and 15 or more years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering
2. 10 or more years of progressive data science or analytics management experience with a diverse project focus and demonstrated results
3. Must be a people leader, able to manage in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights
4. Demonstrated ability to engage and manage a diverse set of internal business partners, product sets, and projects, connecting insights with execution and business impact
5. Innovative and strategic thinker with ability to connect to practical application, providing leadership on target initiatives, with a strong bias to action and focus on quantifiable business impact
6. Experience in managing multiple projects with tight deadlines in a collaborative environment, with ability to pivot and align resources to drive maximum impact
7. Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques. Champion application of emerging decision science techniques by supporting teammate training and development and building business partner awareness
8. Incumbent should have an 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), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word)

Preferred Qualifications:
1. Master’s or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. 15+ years of experience in Banking, Finance, Data Science, Analytics, Computer Science, Applied Mathematics, or Engineering