Job Description
Shall undertake putting up enabling policies, standards, technology tools, to support the sectors and entire economy with right capabilities for data collection, data storage, data curation and analysis ;
Shall be in charge of building predictive models and algorithms, analyzes both structured and un-structured data to address efficiency challenges in work processes within sectors, deriving useful insights for projects under implementation within Government or private sector;
Conduct research to understand the trends in science and technology space, data economy collaborating with relevant local and regional stakeholders to harness the opportunities related to new projects, tools, partnerships, ensuring the data ecosystem is strengthened;
Be in charge with several other activities as will be assigned by the Ministry line supervisors.
Coordinate the development and disseminating ICT & Innovation policies, strategies, standards, legal and regulatory frameworks related to data protection & sovereignty at both local and international level;
Collaboration and liaising with local, regional and international partners working in the sector for mutual cooperation in the area of data economy and enabling framework to allow data to flow across boarders for business or diplomatic opportunities;
Identify opportunities, business & project models, innovational approaches to promote sovereignty and cross boarder data flow programs;
Facilitate to support specific projects related to promoting cloud hosting services for both Government and Private sector, approaches for API development, building data provenance, hushing mechanisms and operator anti-snooping;
Conduct research on current and future data economy trends and derive policy actions/models to promote data sovereignty and cross boarder data flows;
Monitoring and evaluating the implementation of ICT & Innovation sector and sub-sector policies, strategies and programs;
Be in charge with several other activities as will be assigned by the Ministry line supervisors.
Minimum Qualifications
-
Bachelor’s Degree in Software Engineering
3 Years of relevant experience
-
Bachelor’s Degree in Information and Communication Technology
3 Years of relevant experience
-
Master’s Degree in Software Engineering
1 Year of relevant experience
-
Master’s Degree in Information and Communication Technology
1 Year of relevant experience
-
Bachelor’s Degree in Information Management Systems,
3 Years of relevant experience
-
Master’s Degree in Information Management Systems,
1 Year of relevant experience
-
Bachelor of Science in Computer Science
3 Years of relevant experience
-
Bachelor of Science in Computer Engineering
3 Years of relevant experience
-
Master of Science in Computer Science
1 Year of relevant experience
-
Master of Science in Computer Engineering
1 Year of relevant experience
-
Bachelor’s Degree in Telecommunication Engineering
3 Years of relevant experience
-
Bachelor’s Degree in Electronics and Telecommunication
3 Years of relevant experience
-
Master’s Degree in Electronics and Telecommunication
1 Year of relevant experience
-
Master’s Degree in Telecommunication Engineering
1 Year of relevant experience
Competency and Key Technical Skills
-
Integrity
-
Strong critical thinking skills and excellent problem solving skills.
-
Inclusiveness
-
Accountability
-
Communication
-
Teamwork
-
Client/citizen focus
-
Professionalism
-
Commitment to continuous learning
-
Resource management skills
-
Analytical skills
-
Problem solving skills
-
Decision making skills
-
Time management skills
-
Risk management skills
-
Performance management skills
-
Results oriented
-
Digital literacy skills
-
Fluency in Kinyarwanda, English or French. Knowledge of all is an added advantage
-
Knowledge of Rwanda’s ICT policies and strategies
-
Knowledge of Data Visualization (Knowledge of BI tools like tableau, power Bi or any other), Knowledge of data cleansing techniques
-
Knowledge of software programing, statistical programming languages (R or python or any other), structured and unstructured Query Language (SQL, MongoDB or any other), Machine models/techniques
