Data Governance Analyst

Overview

Data Governance Analyst
Job Type Full Time
Qualification BA/BSc/HND
Experience
Location Nairobi
Job Field Research / Data Analysis
Description

Essential Functions of the Job:

• Participate (with Commercial & Risk Management team) in the application and deployment of data policies and processes and their continued enforcement to include areas such as workflow for data ingestion, data quality, master data and data life cycle management. Ensure that data quality guidance and direction is applied throughout the entire data lifecycle, most importantly upfront, through the vision and roadmaps for solutions that seek to leverage data and data services.
• Ensure that all data assets which are subject to the governance processes within the Data office are addressed
• Support the development and maintenance of an end to end data lifecycle management approach
• Responsible for applying data governance framework including the management of data, operating model, data policies and standards as well as the application of clearly defined data management definitions for use across the Data Office
• Apply a data governance framework, with a focus on continued improvement of data quality and strict adherence to the agreed Trust and Classification processes.
• Follow the guidelines related to data governance and data quality and ensure clear accountability. In addition, he/she will have a key role working with various stakeholders across the organization to achieve the goals defined in the data governance and data management strategies.
• Deliver status updates on data quality by updating a Data Quality dashboard
• Follow standards, policies and processes regarding data quality management
• Operate data remediation plans where data fails to meet required standard: Operational Management and

Decision Making Responsibilities:

Data Governance Analyst
Job Type Full Time
Qualification BA/BSc/HND
Experience
Location Nairobi
Job Field Research / Data Analysis
Description

Essential Functions of the Job:

• Participate (with Commercial & Risk Management team) in the application and deployment of data policies and processes and their continued enforcement to include areas such as workflow for data ingestion, data quality, master data and data life cycle management. Ensure that data quality guidance and direction is applied throughout the entire data lifecycle, most importantly upfront, through the vision and roadmaps for solutions that seek to leverage data and data services.
• Ensure that all data assets which are subject to the governance processes within the Data office are addressed
• Support the development and maintenance of an end to end data lifecycle management approach
• Responsible for applying data governance framework including the management of data, operating model, data policies and standards as well as the application of clearly defined data management definitions for use across the Data Office
• Apply a data governance framework, with a focus on continued improvement of data quality and strict adherence to the agreed Trust and Classification processes.
• Follow the guidelines related to data governance and data quality and ensure clear accountability. In addition, he/she will have a key role working with various stakeholders across the organization to achieve the goals defined in the data governance and data management strategies.
• Deliver status updates on data quality by updating a Data Quality dashboard
• Follow standards, policies and processes regarding data quality management
• Operate data remediation plans where data fails to meet required standard: Operational Management and Decision Making Responsibilities:
• Monitoring data quality process, identifying data quality issue patterns, applying remediation plans, implementation of data controls, and manage data quality remediation strategies.
• Updating a Data Quality dashboard highlighting key issues
• Monitor and track data quality issues, identify gaps, and apply action plans to remediate gap
• Ensure that data quality is assessed and evaluated as an integral part of new solution developments
• Apply quality processes for the delivery of Analytics products within the Data ecosystem
  Knowledge and Skills Requirements:
• Understanding of Master Data Management technology landscape, processes and design principles
• Operational familiarity in the use of meta-data management, data quality, and data stewardship tools and platforms
• Experience in the use of data catalogues and data quality technologies
• Hands-on operational management and change management.
• Proven track record in operating large data governance programs. Knowledge of Cloud based big data frameworks such as data lake, relational, Graph and other no-SQL databases
• Experience in managing enterprise data assets in a large, complex organization
• Should be familiar with cloud and data management trends, including open source projects, methodologies (connect and collect, hub and spoke, data fabrics, etc.) and leading commercial vendors that relate to data acquisition, management and the semantic web
• Ability to analyze complex situations and to derive workable actions
• Ability to constructively challenge requirements and current state to increase overall value to the firm
  Strong relationship building skills
• Ability to understand and integrate cultural differences and motives and to lead virtual cross-cultural, cross-border teams
• Flexibility to adjust to multiple demands, shifting priorities, ambiguity and rapid change
• Good written and verbal communication
  Qualifications

Experience:

• A minimum of 3 years relevant work experience in data quality management, information architecture and governance design and implementation, with significant influence on overall direction of data governance management
• Demonstrated experience in developing and operationalizing data based guidelines, policies, procedures, and standards,
• Demonstrated ability to build cross-functional relationships that result in adoption of organizational change,
• Appropriate level will be determined based upon experience and knowledge
• Experience of having been engaged within a multi-cultural, multi-disciplined, globally dispersed team
  See above for knowledge and skill requirements
  Certification Requirements:
• Any Data Governance, Applicable Vendor or Industry certification is preferred not mandatory
• Monitoring data quality process, identifying data quality issue patterns, applying remediation plans, implementation of data controls, and manage data quality remediation strategies.
• Updating a Data Quality dashboard highlighting key issues
• Monitor and track data quality issues, identify gaps, and apply action plans to remediate gap
• Ensure that data quality is assessed and evaluated as an integral part of new solution developments
• Apply quality processes for the delivery of Analytics products within the Data ecosystem
  Knowledge and Skills Requirements:
• Understanding of Master Data Management technology landscape, processes and design principles
• Operational familiarity in the use of meta-data management, data quality, and data stewardship tools and platforms
• Experience in the use of data catalogues and data quality technologies
• Hands-on operational management and change management.
• Proven track record in operating large data governance programs. Knowledge of Cloud based big data frameworks such as data lake, relational, Graph and other no-SQL databases
• Experience in managing enterprise data assets in a large, complex organization
• Should be familiar with cloud and data management trends, including open source projects, methodologies (connect and collect, hub and spoke, data fabrics, etc.) and leading commercial vendors that relate to data acquisition, management and the semantic web
• Ability to analyze complex situations and to derive workable actions
• Ability to constructively challenge requirements and current state to increase overall value to the firm
• Strong relationship building skills
• Ability to understand and integrate cultural differences and motives and to lead virtual cross-cultural, cross-border teams
• Flexibility to adjust to multiple demands, shifting priorities, ambiguity and rapid change
• Good written and verbal communication
  Qualifications

Experience:

• A minimum of 3 years relevant work experience in data quality management, information architecture and governance design and implementation, with significant influence on overall direction of data governance management
• Demonstrated experience in developing and operationalizing data based guidelines, policies, procedures, and standards,
• Demonstrated ability to build cross-functional relationships that result in adoption of organizational change,
• Appropriate level will be determined based upon experience and knowledge
• Experience of having been engaged within a multi-cultural, multi-disciplined, globally dispersed team
• See above for knowledge and skill requirements
  Certification Requirements:
• Any Data Governance, Applicable Vendor or Industry certification is preferred not mandatory

MODE OF APPLICATION

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