As a Data Governance & Quality consultant our main achievements included:
- Led enterprise-wide Data Governance activities in partnership with business leads, data domain subject matter experts, data stewards, and technical experts throughout IT and BI.
- Provided leadership and guidance as Travis Perkins developed their Data Governance strategic framework, consolidating ongoing data governance efforts into a cohesive go-forward Data Governance Council and operating model.
- Assisted in defining and identifying data domains and key stakeholders for inclusion in the Data Governance Council and operating model.
- Promoted, advocated, and trained key stakeholders throughout the enterprise on deploying Data Governance best practices within their data domains and systems of record.
- Collaborated with data stewards and business leads on Data Governance related activities, initiatives, and project intake.
- Managed Data Governance projects by prioritizing initiatives that add value to the organization through pragmatic data management, improved analytical capabilities, enhanced data quality, and improved data integrity.
- Provided guidance and best practices surrounding security, sharing, and access rules for sensitive data; helped create new approval processes for accessing sensitive data by partnering with data domain leads.
- Assisted BI developers and data engineers to improve dataset quality, access, and governance.
- Collaborated with data domain stakeholders across the organization to ensure Data Governance compliance.
- Translated enterprise strategies into data governance priorities in partnership with data domain leads.
- Managed new data projects by defining high-level business case, documenting requirements, tracking project statuses, and prioritizing projects within each domain (and overall).
- Translated business data requirements into actionable technical requirements for BI team developers and engineers.
- Determined and prioritized official data domains, systems, and data sources that are in scope for official Data Governance.
- Worked with BI colleagues to prioritize development of data pipelines for sources not already in the data warehouse.
- Collaborated with each data domain to determine business logic rules, and KPI definitions.
- Prioritized and addressed any issues with data quality and data integrity in conjunction with data domain stakeholders and IT/BI technical experts.