674 words, 2.5 minutes read. By Gerard Blokdyk

Data Governance 1 big thing: Support enterprise data governance initiatives in relation to data categorization and metadata mapping.

The big picture: Partner with GIs technology organization to prioritize and execute on business intelligence technology enhancements and to implement a robust information architecture and data governance model.

Why it matters: Certify your design is responsible for maintaining the quality control of projects ensures the proper development of methods and practices for effective control and management of systems.

Meanwhile: Enable enterprise information management: Ensure that the architecture is used as a lens and a filter to identify, prioritize and execute the data and analytic initiatives with clear line of sight to enterprise strategies and business outcomes.

The backdrop: Establish that your workforce is participating in Data Governance organization and serving as a contributor to regular data governance presentations to Executive Leadership.

Under the hood: Build the strategy, develop the roadmap, and manage the backlog and end-user support for the application platforms for data governance, data quality monitoring, and master data management capabilities.


 


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Yes, but: Make sure your process assists with the development of data governance committee minutes, documentation of data policy, and technical data processes and procedures.

What to watch: Add to charter for managing responsibility of the overall design of the enterprise information architecture, across all data types; Develop comprehensive strategy, roadmap and implementation plans around Governance, Information Lifecycle, Metadata Management, Master Data, Data Integration, Data Security and associated change management.

How it works: Perform collaboration and communication activities in support of the Data Governance Program and related initiatives to include technical writing and presentations to a variety of audiences.

What they’re saying: “Liaison so that your team is planning and Project Management: Manages short, medium and long term projects related to strategic planning, data governance, and data analytics with significant technical assistance components., Information Security Specialist

On the flip side: Recognize opportunities to improve the migration and transition project process and communicate the ideas to the leads of Data Governance and Data Management.

Between the lines: Interface so that your workforce partners across your organization to implement and ensure adoption to data governance across all data processes and assets.

Be smart: Invest in data management, governance, and data quality of (internal) client data with multiple stakeholders including the Data Governance organization, data asset owners, business owners, and others to ensure (internal) client data integrity across the systems that create and use the data.

The bottom line: Lead the development of the infrastructure aspects of the Infrastructure and Operations strategy and roadmap, and ensure its integration with the broader IT and enterprise strategic plans.

What’s next: Be a member of the Product Team, you represent the voice of the customer, own the roadmap and decide how best to deliver outcome based solutions that solve your (internal) customers needs and pain points.

ICYMI: Be sure your staff works with your organizations data integrations and data warehouse teams to ensure that all data sets (including structured and unstructured data) are accessible to the appropriate users.


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