AI Readiness/Embedded Governance Strategy Lead
Salary not listed
Truist · Charlotte, NC
Govern · Found · posted 23 days ago
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Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)
Please review the following job description:
Accountable to design data architecture standards and solutions for the across data engineering, data platforms, AI / ML platforms, generative AI processes, self-service tools, data transformation tools. Further accountable for partnering with the technology and business teams to solution specific business processes and solutions.
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.
• Oversees data architecture for a specific business unit/corporate function (BU / CF), while collaborating closely with Enterprise Architecture, and guiding teams to support evolving strategic business and technical enterprise initiatives.
• Responsible for aligning data projects to the standards of the data strategy, architecture and enterprise architecture.
• Accountable for defining the conceptual, logical, and physical data models for their specific BU / CF.
• Accountable and responsible for instituting data architecture methodology across each BU / CF, as well as overseeing standardized processes for managing and storing data models in a centralized model repository.
• Partner with the technology, data delivery teams and BU / CF teams to architect solutions to meet specific audit issues, controls issues, MRAs, MRIAs, MRBAs and self identified issues.
• Manage the application inventory for their specific BU / CF and mapping those to the data architecture methodology and proposing process changes related to Data Architecture.
• Responsible for providing data architecture review and approval for each BU / CF as part of the Architecture Review Board, model governance & ethical practices committee for AI.
• Translate BU / CF requirements into technical implementations and schemas; determine technical solutions that can fulfill business needs and requests.
• Design proof-of-concept system prototypes for specific BU / CF with proper architecture.
• Stay up to speed on emerging industry and technologies while bringing those new practices to Truist.
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.
• Undergraduate degree in either computer science, analytics, data engineering, finance or equivalent degree
• At least 10 years of experience driving enterprise architecture, solution architecture, data architecture, data strategy, data execution, data engineering or software delivery
• Previous experience in defining, building and executing on an enterprise data management and governance program
• Expert problem solving skills and being able to define detailed strategies
• Expert in enterprise architecture, solution architecture and data architecture
• Expert in solution designs based upon business requirements
• Experience in meeting regulatory obligations and operating in a highly regulatory environment
• Experience in building a high performing team
Preferred Qualifications:
• Experience leading AI readiness, data governance,…
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