643 words, 2.4 minutes read. By Gerard Blokdyk

Data Governance 1 big thing: Manage teamwork with data protection engineering, security architecture, IT, data governance, privacy and compliance.

The big picture: Make sure the group of skills related to Governance and Compliance including creating policies, evaluating compliance, conducting internal investigations, developing data governance, etc.

Why it matters: Support the roll out of an enterprise wide data governance framework, with a focus on the improvement of data quality and the protection of sensitive data through modifications to organization behavior, policies and standards, principles, governance metrics, processes, and implementation of related tools and data architecture.

What they’re saying: “Establish that your workforce collaborates with Data Governance team to set the vision for enterprise data issues that impact analytic and business intelligence solutions., Enterprise Data Governance Lead

Under the hood: Research: Researches new technologies and methodologies pertaining to enterprise data use and Works with business teams on data governance and master data processes.


 


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Yes, but: Serve as a liaison between Business and Functional areas and technology to ensure that data related business requirements for protecting sensitive data are clearly defined, communicated and well understood and considered in the context of operational prioritization and planning.

What we’re hearing: “Make sure the Cyber and Data Risk team is responsible for managing the cybersecurity and data risks for your organization, raising awareness of such risks and best practices, and program governance., Manager, Customer Support (Remote US West Coast)

The backdrop: Roll out an enterprise wise data governance framework, with a focus on improvement of data quality and the protection of sensitive data through modifications to organization behavior policies and standards, principles, governance metrics, processes, related tools and data architecture.

Be smart: Implement an enterprise-wide data governance framework, with a focus on improvement of data quality and the protection of sensitive data through modifications to organizational policies and standards, principles, governance metrics, processes, related tools and architecture.

State of play: Make sure the Data Governance Analyst is responsible for creating standards for the data definitions, assisting in governing the Heartland Alliance data, and helping to support the development and execution of a data governance framework across all Heartland Alliance companies.

How it works: Ensure adherence to data and model governance standards that are set and enforced by industry standards and/or enterprise and business unit data governance polices and leaders.

The bottom line: Make sure the Data and Analytics team at Auth0 delivers the tools and technologies that enable your business teams and (internal) customers to make data driven decisions.

What’s next: Check that your team manages Data Architecture, Data Strategy and Roadmap for large and complex organization and systems and implemented large scale end-to-end Data Management and Analytics solutions for more than one large client.

ICYMI: Develop and maintain data governance processes to support the execution of data governance framework, policies and standards; keep up to date with changing data regulations and policies.


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