Manager – Data Quality & Master Data Management

ABOUT THE COMPANY

The Kenya Revenue Authority was established by an Act of Parliament, Chapter 469 of the laws of Kenya, which became effective on 1st July 1995. KRA is charged with collecting revenue on behalf of the government of Kenya.
The core functions of the Authority are: -
To assess, collect and account for all revenues in accordance with the written laws and the specified provisions of the written laws.
To advise on matters relating to the administration of, and collection of revenue under the written laws or the specified provisions of the written laws.
To perform such other functions in relation to revenue as the Minster may direct.

JOB SUMMARY

The job holder shall be responsible for implementing the organization’s data quality, stewardship and Master Data Management strategies, ensuring the integrity, accuracy, and consistency of data across all systems. The Manager will drive the implementation of MDM frameworks, policies, and procedures to support business objectives and regulatory compliance.

RESPONSIBILITIES

Define and implement the MDM strategy and Data Quality Management (DQM) frameworks aligned with KRA's corporate goals.Establish "Data Golden Rules" and standards for data entry, maintenance, and archiving across systems.Lead a network of data stewards across different departments to ensure accountability at the source.Oversee the "Golden Record" creation for taxpayers and staff, ensuring that a single identifier identifies a unique entity across all systems.Manage the complex deduplication, matching, and merging processes when integrating data from third parties.Define, monitor, and report on data quality and MDM KPIs, metrics, and assessments to ensure accuracy, consistency, and integrity.Automate data quality processes and use automated tools to constantly monitor the "health" of KRA data, identifying missing/ incomplete/ inaccurate data elements, invalid addresses, or inconsistent records.Perform investigative root cause analysis for data quality issues, propose and monitor implementation of remediation measures at source.Lead data cleansing exercises to ensure that datasets have the right quality for use in advanced analytics and AI-driven use cases.Oversee the implementation and optimization of MDM and Data Quality solutions.Ensure that data provided to the Data Science and analytics teams meets the required quality standards.Ensure alignment with regulatory requirements, governance policies, and corporate initiatives including Audit, Integrity, QMS, and Risk Management.Implement corporate initiatives in the Unit: Performance Management, Audit, Integrity, Quality Management Systems, and Risk Management.Support staff career development and performance enhancement within the unit, ensuring alignment with departmental goals.

REQUIRED SKILLS

Quality management, Data analysis, Project monitoring and evaluation (M&E)

REQUIRED EDUCATION

Post-graduate education