Data Lead

We are looking for an experienced Data Lead to provide leadership across data governance, data management, data acquisition, and data ingestion. The role will be responsible for establishing effective data practices, ensuring data quality and security, and leading technical data teams toward scalable and business-oriented solutions.

Key Responsibilities

• Lead data governance, management, acquisition, and ingestion functions

• Oversee the collection, management, integration, and storage of data

• Develop and implement data management and governance strategies

• Establish data acquisition practices that ensure data is properly sanitized, processed, structured, and optimized for utilization

• Ensure data integration, development, escalation, and resolution processes comply with privacy and security standards

• Lead and coordinate Data Architects, Data Engineers, and Data Scientists

• Oversee data integration activities related to customer onboarding

• Develop and manage data-sharing agreements with relevant stakeholders

• Drive data-related operational and strategic decisions across multiple stakeholders

• Participate in data governance forums and committees

• Continuously improve data architecture, management capabilities, and processes throughout the product and solution lifecycle

• Promote the effective use of data to support business objectives and informed decision-making

Skills & Experience

• Strong experience in Data Governance, Enterprise Data Management, Business Intelligence, and Advanced Analytics

• Experience in ICT, digital platforms, smart-city initiatives, or other large-scale technology environments is an advantage

• Proven ability to lead and provide clear direction to multidisciplinary data teams

• Strong understanding of the strategic and business value of data management and data monetization

• Ability to assess data management capabilities from both technical and business perspectives

• Demonstrated leadership and execution experience in large-scale programs involving multiple stakeholders

• Strong expertise in Big Data Engineering and Cloud Data Platforms, preferably Azure

• Good understanding of Machine Learning and Artificial Intelligence concepts and applications

• Strong knowledge of Data Architecture and Data Governance, including Master Data Management (MDM), data quality, data security, and data integration

• Strong stakeholder management, communication, and decision-making skills