Risk Finance Data Management Manager

Truist•Charlotte, NC

4d•Hybrid

About The Position

Responsible for understanding, disseminating and adopting Enterprise Data Management requirements for Data that resides in each function source system and/or data assets. Responsible for maintaining the integrity of data during the transfer from source systems into data assets through provisioning to Data Output Owners and Data Consumers. Applies a comprehensive understanding of end-to-end data processes/flows and concepts to implement frameworks, processes, controls, models, and solutions to ensure data is effectively managed across the organization or within a specific business unit. Be able to set the standards for fit for use when applying data into business decisions. Drives data stewardship and other relevant data accountability structures across business and technology organizations to ensure data is effectively managed. Drives organizational change as necessary to implement data frameworks, processes, controls, etc. across the organization or within a given business unit. Defines or supports others in the definition and on-going maintenance/management of data. Drives out the identification and mitigation of data issues as necessary to support organization priorities. Identifies and champions the implementation of data process and practice improvements.

Requirements

Bachelor degree in Computer Science, CIS, Computer Engineering, Mechanical Engineering, or related field with a technical focus.
6 years of progressive experience in Analyst or IT Consulting positions.
In-depth knowledge of principles, practices, theories, and/or methodologies associated with the data management and data governance discipline.
Adhering to data management practices including data change management and demand management.
Working in Data Warehouse, ETL, and Business Intelligence projects within the financial industry.
ETL design and architectural-based solutions.
Managing small data projects.
Knowledge of the financial industry's competitive landscape and data best practices.
Ability to interpret and explain complex information to a range of audiences and build consensus among different stakeholders.
Utilizing experience with: SQL, Unix, Linux, ORACLE DB.
Utilizing experience with: ETL - Ab Initio Architectural and Administrative Task.
Utilizing experience with: Ab Initio Control Center Scheduler.
Utilizing experience with: Ab Initio Enterprise Metadata Environment for Data Lineage.
Utilizing experience with: Waterfall SDLC and/or Agile/Lean methodologies.
Utilizing experience with: Root cause analysis for critical data issues.
Utilizing experience with: Microsoft Office software products.
Utilizing experience with: Data Management.
Utilizing experience with: Banking and Credit Card Payment Processing Systems.

Responsibilities

Maintaining the integrity of data during the transfer from source systems into data assets through provisioning to Data Output Owners and Data Consumers.
Implementing frameworks, processes, controls, models, and solutions to ensure data is effectively managed across the organization or within a specific business unit.
Setting the standards for fit for use when applying data into business decisions.
Driving data stewardship and other relevant data accountability structures across business and technology organizations.
Driving organizational change as necessary to implement data frameworks, processes, controls, etc.
Defining or supporting others in the definition and on-going maintenance/management of data.
Driving out the identification and mitigation of data issues as necessary to support organization priorities.
Identifying and championing the implementation of data process and practice improvements.