AI & Data Governance Lead

Truist; Charlotte (NC); Presencial; USD 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, vision benefits

401k plan and vacation time

Descripción de la vacante

Truist Financial Corporation is seeking a data governance professional in Charlotte, NC to translate data management strategy into execution and align stakeholders across business, technology, risk, and data domains. The role emphasizes governance, risk management, and measurable outcomes in enterprise-wide data initiatives.

Core duties include designing program plans, collaborating with cross-functional teams, and driving continuous improvement through experiments and documentation of data

Formación

• Bachelor’s degree or equivalent in Computer Science, Data Science, AI, Software Engineering, or related field.
• Minimum of 3 years of professional experience in AI and data.
• Understanding of AI models, data architectures, and analytics methodologies.

Responsabilidades

• Builds program plans that track execution of data management capability teams.
• Collaborates with cross-functional teams to integrate data initiatives into business processes.
• Conducts experiments and evaluates data initiative performance for continuous improvement.
• Supports training initiatives and automation of data preparation tasks.
• Documents data-related project deliverables with technical accuracy.

Conocimientos

AI knowledge

Data architectures

Analytics methodologies

Educación

Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering

Descripción del empleo

Truist Financial Corporation is seeking a data governance professional in Charlotte, NC to translate data management strategy into execution and align stakeholders across business, technology, risk, and data domains. The role emphasizes governance, risk management, and measurable outcomes in enterprise-wide data initiatives.

Core duties include designing program plans, collaborating with cross-functional teams, and driving continuous improvement through experiments and documentation of data