Data Management Practice Lead at NTT Ltd.

• The Practice Lead for Data Management is responsible for leading the strategic design and operational execution of enterprise data management initiatives. This includes overseeing the development of the data catalog, implementing data quality frameworks, managing role-based security access, designing the data marketplace, and supporting the architecture of the overall data analytics solution

Key Responsibilities:

Data Catalog Development

• Lead the implementation and continuous improvement of the enterprise data catalog.
• Ensure metadata is accurately captured, maintained, and accessible to stakeholders.

Data Quality Management

• Define and implement data quality metrics and reporting frameworks.
• Oversee the creation of automated data quality reports and dashboards.
• Collaborate with data stewards and owners to resolve data quality issues.

Role-Based Security Access

• Design and enforce role-based access control (RBAC) policies across data platforms.
• Ensure compliance with data privacy and security regulations (e.g., POPIA, GDPR).

Data Marketplace Design

• Lead the design and rollout of a self-service data marketplace.
• Ensure data assets are discoverable, well-documented, and governed.

Analytics Solution Design Support

• Collaborate with data architects and engineers to support the design of scalable, secure, and high-performing analytics solutions.
• Ensure alignment between data management practices and analytics architecture.

Leadership & Governance

• Define and promote data management best practices across the organization.
• Mentor team members and foster a culture of data literacy and accountability.
• Participate in data governance councils and strategic planning initiatives.

Knowledge and Attributes:

• Excellent understanding of data modelling, statistical methods and machine learning techniques.
• Excellent ability to thrive in a dynamic, fast-paced environment.
• Strong quantitative and qualitative analysis skills.
• Strong desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science.
• Strong curiosity to sift through data to find answers and more insights.
• Excellent understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face.
• Excellent ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making.
• Excellent ability to create a storyline around the data to make it easy to interpret and understand.
• Self-driven and able to work independently yet acts as a team player.
• Excellent ability to apply data science principles through a business lens.
• Strong desire to create strategies and solutions that challenge and expand the thinking of peers and senior leadership teams.
• Excellent ability to think strategically about how to use data to drive competitive advantages.
• Excellent management and leadership skills.

Academic Qualifications and Certifications:

• Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.
• Agile certification preferred.
• Certifications in data management or governance (e.g., CDMP, DAMA).
• Experience with modern data platforms (e.g., Snowflake, Databricks).
• Familiarity with BI and analytics tools (e.g., Power BI, Tableau).

Required experience:

• Bachelor’s or Master’s degree in Information Systems, Computer Science, or related field.
• 7+ years of experience in data management, data governance, or enterprise data architecture.

Proven experience with:

• Data catalog tools (e.g., Collibra, Alation, Microsoft Purview)
• Data quality tools (e.g., Informatica, Talend, Great Expectations)
• RBAC and data security frameworks
• Cloud platforms (Azure, AWS, or GCP)
• Data marketplace concepts and tools
• Strong understanding of data governance, metadata management, and regulatory compliance.