Manage activities related to data quality, metadata management, data access, and the implementation of data governance initiatives to maintain the integrity, usability, and security of the Authority’s data assets.

PRINCIPLE ACCOUNTABILITIES

1. Provide Metadata Management Support to enhance data understanding, data discovery, and improve data lineage tracking, for better data integration and utilization across the Authority.

• Supervise the collection, documentation, and maintenance of metadata in accordance with established standards.
• Ensure the accuracy and completeness of metadata to facilitate data understanding and usability.
• Support the implementation and utilization of metadata management tools and processes.

2. Secure data access and usage control to the Authority’s data based on defined policies

• Oversee the processing of data access requests in line with data access policies and security protocols.
• Monitor data usage to ensure compliance with defined guidelines and restrictions.
• Support the implementation of data access controls and permissions.

3. Operational Support for Data Governance Initiatives

• Coordinate operational tasks related to data governance projects and initiatives.
• Assist in the development and tracking of key performance indicators (KPIs) for data operations.
• Prepare regular reports on data operations activities and performance.

4. Data Governance Policy and Procedure Implementation

• Supervise the implementation and enforcement of data governance policies, standards, and procedures within relevant business units.
• Provide guidance and support to team members and stakeholders on data governance requirements.
• Contribute to the development and refinement of data governance documentation

5. Lead the Data Quality Management oversight to improve data accuracy, completeness, consistency, validity, and timeliness across the Authority’s data assets.

• Supervise the execution of data quality monitoring processes and identify data quality issues.
• Coordinate the investigation and resolution of data quality discrepancies, working with relevant data owners and stewards.
• Monitor adherence to data quality standards and contribute to the development of new or improved standards.
• Oversee the implementation of data cleansing and enrichment activities.

6. Plan and manage the performance and development of staff under supervision so as to improve their productivity

• Budget for resource requirements in the business Unit.
• Develop performance agreements with all the staff under supervision.
• Monitor staff performance and provide guidance and periodic feedback for performance improvement.
• Assess the training and development needs of staff under supervision and recommend appropriate interventions.
• Provide coaching and mentoring support to staff under jurisdiction.
• Initiate and implement activities/programs intended to create and harness teamwork in the business Unit.
• Implement succession planning and any other staff related programs as introduced and approved in the organization.
• Create and maintain a working atmosphere that fosters creativity and innovation in the team.

Qualifications

PERSON SPECIFICATIONS

Essential Requirements

• An Honor’s Bachelor’s Degree in either; Information Technology, Information Systems, Data Science, Computer Science, Computer Engineering, Statistics, Applied Mathematics or Engineering from a recognized academic institution.
• At least three (03) years’ experience in either; data mining, data processing, data analytics, data modelling, data warehousing, or business intelligence attained in a reputable organization.
• An impeccable record of integrity.

Desirable Requirements

• Professional certifications in data governance or data management either; CDMP, DGSP, TOGAF or Training in data management, data architecture, or data governance from a reputable institution
• A Postgraduate qualification in Data Management, Business Administration, or engineering field.
• Experience in use and application of database management systems (e.g., SQL Server, MySQL, Oracle) and visualization tools (e.g. Tableau, Power BI).

Knowledge

• Proficiency in data management tools and software.
• Knowledge of relevant data privacy regulations and compliance requirements
• Understanding of data governance principles, practices, and frameworks.
• Experience with data quality management processes and tools.
• Familiarity with metadata management concepts and practices
• Proficiency in data analysis and reporting tools (e.g., Excel, SQL)

SPECIAL SKILLS AND ATTRIBUTES

The incumbent should be able to demonstrate;

• The ability to communicate with impact and lead a team.
• The ability to be flexible and adaptable but firm on principles
• The ability to prepare analytical reports and make presentations
• The ability to develop others through coaching, mentoring and guiding the professional growth of staff under supervision
• Excellent customer care skills and a passion for excellent quality of service
• Excellent Data Analysis and problem-solving skills
• Excellent interpersonal and communication skills
• Highly adaptable and versatile skills
• Punctuality and quick decision-making skills
• Excellent lobbying, negotiation and networking capabilities
• Assertiveness and emotional intelligence.
• Resilience and commitment to work