AI Readiness & Data Governance Strategy Lead

Jobtailor

Charlotte (NC)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

Truist is seeking an experienced Senior Enterprise Data Architect to design and govern our data architecture landscape across data platforms, AI/ML initiatives, and data transformation tools. You will align programs with enterprise standards and lead high-impact data programs within a regulated environment.

The role requires hands-on architecture leadership, strong collaboration with business and technology teams, and a track record of building high-performing data teams.

Qualifications

  • Undergraduate degree in computer science, analytics, data engineering, finance, or equivalent degree.
  • Experience driving enterprise architecture, solution architecture, data architecture, data strategy, data execution, data engineering, or software delivery.
  • Experience defining, building, and executing an enterprise data management and governance program.
  • Expert problem-solving skills and ability to define detailed strategies.
  • Expertise in enterprise architecture, solution architecture, and data architecture.
  • Experience meeting regulatory obligations and operating in a highly regulated environment.
  • Experience building a high-performing team.
  • Preferred: Experience leading AI readiness, data governance, data quality, lineage, and metadata management initiatives.
  • Preferred: Ability to embed governance, controls, and risk management into business processes and data product lifecycles.
  • Preferred: Experience partnering across Business, Technology, Risk, Compliance, Audit, and Data & Analytics organizations.
  • Preferred: Knowledge of AI/ML, Generative AI, Responsible AI, and model governance practices in regulated environments.
  • Preferred: Experience implementing data product operating models, business ownership frameworks, and stewardship programs.
  • Preferred: Executive communication, influence, and organizational change leadership skills.
  • English language fluency required.

Responsibilities

  • Design data architecture standards and solutions across data engineering, data platforms, AI/ML platforms, generative AI processes, self-service tools, and data transformation tools.
  • Partner with technology and business teams to develop solutions for specific business processes and needs.
  • Oversee data architecture for a specific business unit or corporate function while collaborating with Enterprise Architecture.
  • Align data projects with data strategy, data architecture, and enterprise architecture standards.
  • Define conceptual, logical, and physical data models.
  • Institute data architecture methodology and oversee centralized management of data models.
  • Architect solutions for audit issues, controls issues, MRAs, MRIAs, MRBAs, and self-identified issues.
  • Manage application inventory and map applications to data architecture methodology.
  • Provide data architecture review and approval through the Architecture Review Board and AI model governance and ethical practices committee.
  • Translate business unit requirements into technical implementations and schemas.
  • Design proof-of-concept system prototypes
  • Monitor emerging industry practices and technologies and bring new practices to Truist.

Skills

Data Architecture
Enterprise Architecture
Data Governance
AI/ML Knowledge
Solution Design
Regulatory Compliance
Executive Communication

Education

Bachelor's degree in CS/Analytics/Data Science

Tools

Data Platforms
Generative AI
Model Governance
Metadata Management

Job description

Truist is seeking an experienced Senior Enterprise Data Architect to design and govern our data architecture landscape across data platforms, AI/ML initiatives, and data transformation tools. You will align programs with enterprise standards and lead high-impact data programs within a regulated environment.

The role requires hands-on architecture leadership, strong collaboration with business and technology teams, and a track record of building high-performing data teams.

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