Data Management Section Manager

Talents Tide; Dubai; On-site; AED 180,000 - 280,000; Full time

Job summary

Talents Tide in Dubai seeks a Data Management Section Manager to lead the data strategy, architecture, and governance across institutional and sectoral datasets. You will guide analysts, develop policies, and ensure secure, compliant data operations aligned with government standards.

You will oversee data maturity, central databases, and collaborations with Digital Dubai to enable data-driven decisions at the senior level.

Qualifications

• Bachelor's degree in Data Science, Statistics, MIS, Computer Engineering, Data Analysis or equivalent.
• At least 7 years of professional experience.
• Ability to lead multi-disciplinary teams and apply industry trends to strategy.

Responsibilities

• Prepare and implement the section's annual operational plan with targets and budget.
• Develop data management policies and monitor team compliance.
• Design data architecture to accelerate analysis and reporting.
• Oversee data operation and archiving standards aligned with government policies.
• Review data documents and reports for quality and accuracy.
• Coordinate with Digital Dubai and IT to implement integrated data management.
• Conduct data maturity reviews and develop improvement plans.
• Manage central database development to support decision-making.
• Ensure information security and health and safety policies.

Skills

Leadership

Strategic thinking

Data collection/analysis

Change management

Stakeholder engagement

Education

Bachelor's degree in Data Science, Statistics, MIS, Computer Engineering, Data Analysis

Job description

About the job Data Management Section Manager

Job Purpose

The primary purpose of this role is to collect and analyze institutional and sectoral data. This includes establishing frameworks, methodologies, and guidelines for data analysis and management, as well as providing consultancy and guidance on data-related matters.

Key Responsibilities

• Prepare and implement the section's annual operational plan, including targets, indicators, and budget requirements.
• Develop organizational policies and procedures for data management and monitor team compliance.
• Design and develop data architecture infrastructure to accelerate analysis and effective reporting.
• Build the general framework and methodology for institutional data analysis and management, providing technical guidance on data sources and validation.
• Oversee the development of data operation and archiving standards, ensuring alignment with government policies.
• Review technical documents, data visualizations, and reports to ensure quality and accuracy.
• Integrate emerging technologies and modern initiatives into data management processes and structures.
• Evaluate changes to databases and ensure they meet business requirements.
• Monitor data system performance and provide technical recommendations for hardware, software, and storage improvements.
• Oversee data security in cooperation with relevant authorities and implement digital security policies.
• Supervise the collection and analysis of institutional and sectoral data, providing data-driven recommendations to decision-makers.
• Coordinate with Digital Dubai and the IT Department to develop and implement an integrated data management plan.
• Conduct periodic data maturity reviews and develop improvement plans based on results.
• Supervise the development of a central database for strategic and sectoral data to support decision-making.
• Manage collaboration with Digital Dubai to select and approve data analysis tools according to government standards.
• Ensure adherence to information security, data confidentiality, and health and safety policies.
• Provide periodic reports and data to the Department Director to highlight areas for improvement and operational excellence.
• Identify performance gaps and provide recommendations for corrective actions to mitigate risks.
• Provide inputs for budget preparation and monitor budget execution to ensure alignment with approved allocations.
• Prepare strategies for manpower planning, recruitment, training, and development.
• Set section goals and conduct mid-year and end-of-year performance reviews.
• Provide guidance to staff on operational issues and employee management.

Qualifications & Competencies

• Bachelor's degree in Data Science, Statistics, Management Information Systems (MIS), Computer Engineering, Data Analysis, or equivalent from an accredited university.
• At least 7 years of relevant professional experience.
• Ability to lead multi-disciplinary teams, lead high-impact planning, and apply industry trends to strategy.

Core Competencies (Advanced Level)

• Leading and inspiring others, strategic thinking, and supporting/enabling change.
• Positivity, excellence in execution, and community service/customer responsiveness.
• Strategic planning, performance management, and data collection/analysis