Susan hopkin

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.

KEY RESPONSIBILTIES
• Lead the advancement of data stewardship initiatives across the enterprise, fostering a wide adoption of data governance. Provides guidance to data owners and stewards using standardized approaches and state of the art tools to assist in improving best data practices
• Uphold and measure the degree of adoption of data governance initiatives. Collaborate closely with data owners, stewards, and technical stakeholders to craft and maintain data quality KPIs.
• Cultivate and curate opportunities for augmenting data quality to data governance leaders and business stakeholders. Provide comprehensive, ongoing assessments and surveillance of data health. Promptly liaise with relevant business partners, actively participating in troubleshooting and resolution efforts.
• Collaborate with Data & Analytics Office leaders to build and execute training programs. Produce reports to illustrate the efficacy of program activities.
• Chair of the Member Data Governance Committee (DGC)
• Lead the Member MDM project as a Product Owner to implementation and build out the roadmap for future releases.
• Be accountable to build out and upskill the Data Enablement team to support MDM, DQ, Data Governance, Data Catalog, Data Classification, Data Policy initiatives.

Key Achievements
• Led the team into right sizing the Data Catalog. The previous catalog was more of a data dictionary and had an IT focus. Not many business users were making use of the catalog. I have bene working with the team to engage stewards from the data domains early with why an enterprise catalog is important to them to support one of the 5 pillars of Wawanesa for Data Foundations. The catalog will have User experience front of mind for the non-IT user. Yet still delivering value to the IT user.  
• Was elected the Product Owner for the Member Data solution. I provide subject matter expertise and along with a governance and stewardship focus continue to ensure that the solution offers a robust and value add data solution for the organization. 
• Created a governance process for data classification ensuring a data sensitivity audit is conducted quarterly.
• Produced a Data Enablement roadmap and strategy for the DAO office for deliverables in 2024. 
• Working with the team to produce a series of best practice guides for the technical and non-technical producer and consumer of data for data profiling, data quality, data catalog best practices. The goal is to improve data literacy around data governance and good data practices at Wawanesa.

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.
KEY RESPONSIBILTIES
• Provide guidance and oversight in all matters relating to data management for both operational teams and IT projects by working collaboratively with the Data Management and Analytic teams
• Translate strategic requirements into a usable enterprise information architecture, which may include an enterprise data model, associated metadata-model, common business vocabulary, ontologies and taxonomies, which will then be used to guide enterprise solution development and achieve consistency of information assets across the organization.
• Facilitate the adoption and definition of technical standards and guidelines that pertain to data and information use, security, access, and governance which includes defining accountabilities in support of data quality mandates.
• Facilitate the adoption and evolution of data governance strategies and controls to ensure compliance with enterprise data architecture principles and standards.
• Ensure existing data domain assets are identified, stewarded, and leveraged across the enterprise.
• Collaborate with business and technical stakeholders to ensure the enterprise information architecture maps to the enterprise architecture.
• Define the Data Governance and Data Quality Framework for the enterprise.
• Facilitate and design data quality workshops with business data stewards and IT partners.
SOME KEY ACHIEVEMENTS:
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. 

Bachelor of Information Processing