Data Governance Lead

Data Analytics

  • AvailabilityPermanent
  • Experience5+ Years
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Data Governance Lead

Data AnalyticsGauteng

A leader in the Insurance space is seeking a Data Governance Lead to join their dynamic team in Johannesburg.  The primary objective of the position is to roll out an enterprise wide Data Governance Operating Framework, with a focus on improvement of data governance and data quality through modifications of organization behaviour, policies, standards, principles, governance metrics, processes, related tools and data architecture.

Responsibilities:

  • Collaborate with Risk and Legal departments to interpret data-related acts and laws. Translate compliance requirements to technical and business requirements for IT and data stewards to action.
  • Collaborate with data stewards to analyse data for data quality issues and define requirements for what quality measures needs to be tracked, define acceptable data quality levels in conjunction with the business and define rules that the company must use to ensure data is available, at the right quality levels and accessed securely by authorised personnel
  • Manage, investigate, and resolve data quality issues within enterprise applications, using various techniques while safeguarding against data loss.
  • Create and implement an enterprise wide Data Governance Framework.
  • Create data governance processes and controls.
  • Create data governance policies and standards.
  • Ensure that new systems and/or applications adhere to existing data management practices, policies, and procedures.
  • Develop and build relationship with internal and external stakeholders.  
  • Serve as a liaison between business and functional areas and technology to ensure that data related compliance and business requirements are clearly defined, communicated and well understood and considered as part of operational prioritization and planning.
  • Define indicators of performance and quality metrics and ensure compliance with data related policies, standards, roles and responsibilities, and adoption requirements.
  • Actively manage data owners, data stewards and data custodian forums and content.
  • Develop training plans for data owners and data stewards.
  • Continuously evaluate data governance tools for suitability
  • Produce data governance reports and dashboards on a recurring basis.
  • Enrol data owners, data stewards and data custodians around active management of key data issues.
  • Manage documentation as well as remediation of key data issues.
  • Review data remediation results and manage subsequent oversight of key data.
  • Collaborate with data stewards and data custodians on review and planning of key information gaps which present challenges.
  • Identify and ensure the resolution of data quality issues, such as uniqueness, integrity, accuracy, consistency, and completeness in a cost-effective and timely fashion.
  • Take a lead in preventing data quality issues by identifying frequent user errors, and working with business units to strengthen user competence
  • Collaborate with data stewards to perform data profiling on a regular basis and generate data quality statistics. The results of these audits should be communicated to business owner of the data and tied into service level agreements (SLAs) between data entry personnel, IT, and the appropriate business units.
  • Devise, coordinate, and conduct mass data-cleansing initiatives for the purposes of purging and eliminating corrupt or redundant information from corporate databases.
  • Identify causes of poor data quality, implement solutions and communicate findings to employees, management, and stakeholders.
  • Develop and enforce methods and validation mechanisms for ensuring data quality and accuracy at the point of entry.
  • Work collaboratively with the system architects to develop methods for synchronizing data entering company systems from multiple points.
  • Conduct research and make recommendations on products, tools, services, protocols, and standards that will support the data management strategy.
  • Familiar with POPI and other data related laws and compliance frameworks.

PREFERRED QUALIFICATIONS & EXPERIENCE

  • Graduate degree in the field of Computer Science, Engineering, Business Administration or Information Technology
  • An equivalent combination of direct related education and experience may be substituted
  • Minimum 5 years of Data Governance operations, oversight function, risk measurement, or managed data governance.  
  • Minimum 3 years of Data Quality operations.
  • Must be driven, operationally savvy, action-oriented who continually strives for improvement.
  • Must have excellent written and verbal communication skills
  • Strong ability to communicate effectively with senior stakeholders
  • Ability to work independently with light to moderate supervision in various areas of responsibility.
  • Take personal ownership of deliverables; can independently drive deliverables to completion.
  • Takes initiative on work-related matters; proactively remove blockers to ensure tasks competition; proactively engages and follows up with stakeholders they are dependent on.
  • Excellent interpersonal skills and strong project management skills. 
  • Thorough knowledge and operational skills in Data Governance and Data Quality. 
  • Ability to coach and mentor juniors.

TECHNICAL SKILLS - TECHNOLOGY / SYSTEMS:

  • Master Data Services
  • Data Profiling Tools
  • Data Modelling Tools
  • SQL

 

Skills
  • Master Data
  • Data Profiling
  • Data Governance
  • SQL
  • Data Modelling
Requirements
  • Education Tertiary Degree
  • Experience 5+ Years

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