MDM and Data Governance Lead
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Experienced IT professional with over 20 years’ experience with demonstrated capacity to direct, achieve results and improve performance in multidisciplinary environments. Proven expertise in information/data management, Enterprise Data Governance, data architecture, MDM implementation, software application solution design, development & implementation, operations management, and delivery of integrated solutions.
Delivers results on time. Takes accountability for own actions. Highly respected by client and internal team members both of whom seek technical and problem-solving advice.
Ability to discover the where and how information, applications and technology are applied to business processes to increase the value (increase revenue, reduce costs, and reduce risk) received from the investment in data management and data governance initiatives.
Wealth of global experience, based on a solid education, possessing the capacity to work hard and efficiently, with strong facilitation skills along with a creative enthusiastic attitude which creates a significant contribution to every business engagement.
As the Manager of Data Enablement, I play a pivotal role in contributing to Wawanesa's triumph by forging effective partnerships with a diverse array of cross-functional teams and various data streams. My primary mission is to oversee and evaluate the adherence to data governance policies.
Technical Data Governance SME that contributes to a companies success by facilitating and delivering the overall design and evolution of Wawanesa’s enterprise information architecture. Focuses primarily on enterprise information requirements: design, access, usage and governance, stewardship, data quality as well as the supporting the development of information strategies, roadmaps, standards, and best practices to grow and evolve the enterprise data management and governance practice across the enterprise.
o Authored the Data Governance Playbook consisting of the Data Stewardship Model and Data Quality Framework. The data quality framework identifies a clear approach on how to identify critical data elements, creating the right size for business and data rules which conform with data quality dimensions as well as how to implement and maintain data quality.
o Working alongside SMEs and Data stewards, created the Information Model for architecture to align data classification at the data object level. This will then be leveraged in the data catalog tool.
o Lead the data classification initiative for data within the Wawanesa firewall. Ensuring that systems and data objects defined with the systems are clearly classified. Working with IS Risk, IS Security and Internal Audit as well as domain architects. The outcome of this design will be leveraged at the user level so that all data used will have a classification level clearly identified. Produce a governance framework to ensure data is identified and the sensitivity is classified.
o Led the data stream in the Member Master Data Management project. Shaped the Release strategy, created the governance approach model to gather the requirements with the business focus and value being forefront of the facilitated workshops.
