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Data Governance and Privacy Lead

Job in Johannesburg, 2000, South Africa
Listing for: NTT America, Inc.
Full Time position
Listed on 2026-01-04
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Job Description & How to Apply Below

Make an impact with NTT DATA

Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.

Key Responsibilities
  • Collaborates with various stakeholders to analyze data requirements, develop data models, and ensure the integrity and security of our data infrastructure.
  • Accountable for defining how the data will be stored, consumed, integrated and managed by different data entities and IT systems, as well as any applications using or processing that data in some way.
  • Supports the creation of a data governance framework to meet business and technology requirements while ensuring data security and compliance with regulations, and ensure it is integrated in relevant processes across the organization.
  • Works across multiple teams for the optimization of data storage and retrieval, enhance data quality and governance, and guides the organization in making informed data-driven decisions.
  • Accountable for translating business requirements into databases, data warehouses, and data streams, collaborates with other teams and business stakeholders to understand data requirements and designs appropriate data models and structures.
  • Designs and implements data integration and data flow processes to ensure efficient data movement across different systems and platforms.
  • Analyzes, plans, and defines data architecture framework, including security, reference data, metadata, and master data.
  • Accountable for defining and implementing data governance policies and procedures to ensure data accuracy, consistency, and security.
  • Works across multiple teams for the planning and facilitation of data governance communities, workshops, and meetings.
  • Analyzes existing data systems and identifies opportunities for improvement, recommending innovative solutions to enhance data management and analytics capabilities.
  • Accountable for defining and maintaining data standards, data definitions, and data dictionaries to ensure consistency and interoperability.
  • Works across multiple teams for the definition of technical standards and guidelines that pertain to data and information use, security, access and governance (including defining accountabilities in support of data quality mandates).
  • Creates diagrams showing key data entities and creates an inventory of the data needed to implement the architecture vision.
Knowledge and Attributes
  • Seasoned understanding of data governance, data integration, data quality, data lifecycle processes and data management best practices, and how these impact business performance.
  • Enterprise-wide view of the business and strong appreciation for strategy, processes and capabilities, enabling technologies, and governance.
  • Seasoned in preparing, facilitating, and driving forums, communities, workshops, and meetings with people across various levels of the organization.
  • A capable change agent and communicator knowing how to demonstrate the value of data governance, create organizational buy-in and get the organization to understand data governance.
  • Ability to collaborate and communicate effectively with team members, contributing to their success.
  • Ability to build relationships, manage business partners and navigate with ease at all levels of the organization from senior management to specialists.
  • Seasoned in developing communication and training materials and training people in Data Governance.
  • Good understanding of IT domains of information, security, application, technology infrastructure and integration.
  • Problem-solving and analytical capabilities to safeguard data integrity, security, and organization.
  • Good understanding of data security and privacy regulations (e.g., GDPR, CCPA) and experience implementing data protection measures.
  • Good understanding of data modelling techniques, data warehousing concepts, and database management systems.
  • Seasoned in SQL and experience with database development and performance optimization.
  • Seasoned in data visualization tools and techniques.
Academic Qualifications…
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