Olawunmi Meshioye

A Data Governance Delivery and focused analysis with an in-depth understanding of Data Governance strategy. I am an enthusiastic and highly motivated individual a good team member. I am excellently organised with experience in implementing personal support plans, which focus on the company's needs, wants and interests. As a result, I can manage a challenging caseload while staying focused on giving every client a high standard of service. In addition, I am maintaining and demonstrating a positive attitude towards Data Governance

                                                                                                         Jan 2020 till Present 

Data Governance Manger                             

• Establish and manage ongoing data governance activities for the Enterprise
• Roll out an enterprise-wide data governance framework, with a focus on improvement of data quality and the protection of sensitive data through modifications to organization behaviour policies and standards, principles, governance metrics, processes, related tools and data architecture
• Define roles and responsibilities related to data governance and ensure clear accountability for stewardship of the company’s principal information assets

                                                                                                                                            Jun 2019 – Jan2020   

  Data Governance Lead                                                                                         

• Lead the Data Governance program by influencing the roadmap to create a culture that manages data as an enterprise asset
• Partner with team members to identify, activate and support stewardship program by utilizing master data management (MDM), data quality and data catalog tools to operationalize and scale our data governance capabilities
• Stay up to date with data governance industry trends and apply best practices
• Define and execute processes to monitor data governance policies and procedures to ensure data integrity and privacy, establish consistent data definitions, and monitor overall health of data assets
• Document and implement data quality policies, standards, and procedures for existing and new data environments.