Enterprise Data Strategy & Architecture Lead

NTT DATA, Inc.; KwaZulu-Natal; On-site; ZAR 1,200,000 - 1,800,000; Full time

Job summary

NTT DATA, Inc. is seeking an experienced Data Architect to lead an enterprise data strategy, govern data assets, and design scalable architectures that support analytics, AI, and digital transformation. You will partner with business and IT leadership to define future-state environment and roadmaps.

The role blends strategic leadership with hands-on architecture, governance, and collaboration across security, privacy, and vendor partners, ensuring compliance and standards across data platforms.

Qualifications

• Matric and a Bachelor's degree in a related field.
• TOGAF or DAMA CDMP certification is advantageous.
• 8–10 years in data architecture or enterprise roles.
• Experience in establishing Data Governance and data security controls.

Responsibilities

• Develop and implement an enterprise data strategy aligned to business goals.
• Define current-state and target-state data architectures and models.
• Establish data governance frameworks, ownership, and stewardship structures.
• Engage stakeholders and present roadmaps to senior management.
• Assess platforms, patterns, and technology recommendations for data integration and analytics.

Skills

Enterprise Data Architecture

Data Governance

Data Modeling

MDM

Metadata Management

Data Security & Privacy

Education

Matric

Bachelor's Degree in Information Systems / Computer Science / Data Science / Engineering

Tools

TOGAF

DAMA CDMP

Azure Data Certifications

AWS Data & Analytics Certifications

Google Cloud Data Certifications

Job description

NTT DATA, Inc. is seeking an experienced Data Architect to lead an enterprise data strategy, govern data assets, and design scalable architectures that support analytics, AI, and digital transformation. You will partner with business and IT leadership to define future-state environment and roadmaps.

The role blends strategic leadership with hands-on architecture, governance, and collaboration across security, privacy, and vendor partners, ensuring compliance and standards across data platforms.