Senior Data Manager

Singapore Land Authority (SLA); Torch River; On-site; CAD 95,000 - 140,000; Full time

Job summary

Singapore Land Authority (SLA) is seeking a senior data governance leader to guide the enterprise-wide data management program. You will drive policies, frameworks and controls to ensure data is managed securely and leveraged as a strategic asset across the organization.

You will work with data owners, IT, cybersecurity, legal and audit teams to embed governance in ICT systems and projects, while building capability and strengthening data literacy across SLA.

Qualifications

• Degree in Data or Information Management, Information Systems, Computer Science, Information Technology, or a related discipline.
• Five years of experience in data governance, data management, or data security, preferably with leadership experience.
• Solid understanding of data governance principles, data stewardship, quality, and lifecycle management.

Responsibilities

• Lead the data governance team, set priorities and oversee the delivery of data governance initiatives.
• Develop, implement and monitor policies, standards and processes covering the data lifecycle and ownership.
• Translate government data management and security requirements into practical controls and operating practices.
• Collaborate with business units, IT, cybersecurity, legal and audit to embed data governance in ICT systems and processes.
• Oversee data incidents including response, remediation and prevention actions.
• Plan capability-building and outreach to strengthen data literacy and security awareness.

Skills

Data governance

Team leadership

Stakeholder management

Policy development

Education

Degree in Data/Information Management

Job description

What the role is

Lead SLA’s data governance team and drive the development and implementation of enterprise-wide policies, frameworks and practices to ensure that data is managed securely and effectively as a strategic organisational asset.

What the role is

Lead SLA’s data governance team and drive the development and implementation of enterprise-wide policies, frameworks and practices to ensure that data is managed securely and effectively as a strategic organisational asset.

What you will be working on

• Lead the data governance team, set priorities and oversee the delivery of SLA’s data governance workplan and initiatives.
• Develop, implement and monitor policies, standards and processes covering the data lifecycle, including data ownership and stewardship, classification, quality, access, sharing, retention, protection and disposal.
• Translate Whole-of-Government data management and security requirements into practical organisational controls and operating practices.
• Work with business units, data owners, IT, cybersecurity, legal and audit teams to embed data governance requirements into ICT systems, projects, and business processes.
• Oversee the management of data incidents, including response coordination, reporting, remediation and follow-up actions to prevent recurrence.
• Plan and implement capability-building, engagement and outreach programmes to strengthen data literacy, stewardship and security awareness across SLA.

What we are looking for

• Degree in Data or Information Management, Information Systems, Computer Science, Information Technology, or a related discipline.
• At least five years of relevant experience in data governance, data management, data protection, data security or related areas, preferably with experience leading a team or cross-functional initiatives.
• Good understanding of data governance principles and practices, including data stewardship, data quality, classification, sharing, access controls and lifecycle management.
• Knowledge of public-sector data governance and security requirements, or experience working in a regulated environment, would be an advantage.
• Knowledge of personal data protection requirements and responsible data use.
• Understanding of how data policies and controls relate to ICT systems, cloud platforms, cybersecurity, analytics and AI initiatives.
• Strong analytical and problem-solving skills, with the ability to balance operational needs, data value, security and compliance considerations.
• Strong stakeholder-management and communication skills, including the ability to explain complex requirements clearly and influence stakeholders at different levels.
• Resourceful, self-motivated and able to work independently while leading and collaborating effectively across teams.