Establish that your organization understands and communicates organization goals and objectives Apply creative thinking/approach to determine technical solutions that further business goals and align with corporate technology strategies, keeping in mind performance, reliability, scalability, usability, security, flexibility, and cost.

More Uses of the Governance Metrics Toolkit:

  • Roll out an enterprise wide data governance framework, with a focus on continuous improvement of quality and protection of sensitive data through modifications to organization behavior policies and standards, principles, Governance Metrics, processes, related tools and data architecture.
  • Roll out an enterprise wide 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.
  • Manage: 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.
  • Identify areas for data quality improvements and helps to resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies.
  • Serve as a liaison between Business and Functional areas and IT to ensure that data related business requirements for the protection of sensitive data are implemented leveraging data governance tools and best practices.
  • Liaise with internal and external business stakeholders to promote solutions that optimize business value and identify opportunities for improving the quality of shared data assets.
  • Provide guidance on the protection of sensitive data through modifications to organization behavior policies and standards, principles, Governance Metrics, processes, related tools and data architecture.
  • Be accountable for assessing your corporate clients data management environments and governance capabilities to make data actionable for the business and to turn information into value.
  • Support the development, maintenance and implementation of common language for enterprise data managed through a standardized data governance platform to organize and maintain data domains and data taxonomy.
  • Establish: partner with data architects and business SMEs to create and maintain your organization data model (bdm) for each data domain that is aligned across the enterprise.
  • Collaborate with business leaders to identify new business opportunities pertaining to the use of information assets to achieve efficiency and effectiveness in the marketplace / represent data as a strategic business asset.
  • Ensure you advise; build processes and tools to maintain high data availability, quality and maintainability Contribute to the EDP strategies and roadmap development to meet business objectives with existing or emerging technologies.
  • Confirm your organization complies; 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.
  • Roll out an data centralization and data governance framework, with a focus on improvement of data quality and the protection of sensitive data through principles, Governance Metrics, processes, related tools and data architecture.
  • Roll out the Finance data governance framework, with a focus on improvement of data quality through modifications to organization behavior policies and standards, principles, Governance Metrics, processes, related tools and data architecture.
  • Be a strategic thinker, who can establish and translate business objectives into a tangible data strategy, execution and results through ongoing prioritization, creation of strategic roadmap and business case, effective delivery oversight, and clear communication of success.
  • Establish and rollout an enterprise wide data governance framework, with a focus on improving data quality and creating/upgrading existing organizational policies and standards, Governance Metrics, processes, and related tools.
  • Be accountable for reporting, domain based data analytics that provide insights and support for defining and refining Program Managers portfolio delivery planning and Project Managers activity delivery plans.
  • Be accountable for establishing the procedures for detection and correction of data quality issues and the collaborate to establish policies procedures and internal controls affecting the quality of data.
  • Be accountable for ensuring overall process is being performed in alignment with the documented governance processes to make certain its effectiveness and efficiency.
  • Make sure that your project deploys a master data governance framework, with a focus on improving 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.
  • Engage with data platform customers/partners to understand the needs and provide suggestions/guidance on what data platform techniques are appropriate to solve the problems with pros/cons articulated clearly.
  • Cultivate focus on improvement of regulatory and legal compliance, data quality, efficiency, and the protection of sensitive data through modifications to organization behavior, policies and standards, principles, Governance Metrics, processes, and related tools.
  • Establish a data quality framework necessary to enable data quality reporting, issue identification, remediation and tracking, ultimately ensuring trust and confidence in data across domains.
  • Be accountable for working closely with other Architects, Developers, Product Managers and Program Managers; and provide support to Directors and Executives to ensure the Data Management strategy aligns with the business values and direction of the enterprise.
  • Be accountable for leading the adoption of data management and quality improvement processes to enable appropriate accessibility, accuracy and timeliness of data for operational, compliance, regulatory and analytical business needs.
  • Be accountable for ensuring that data centric activities are aligned with the CDO program and leverage applicable data standards, governance processes, and overall best practices.
  • Direct: review and assess privacy related risk with business partners to identify and address privacy related compliance gaps or areas of privacy risk in support of business requirements.
  • 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.
  • Operationalize master data management standards, procedures, and guidelines concerning data collection, access and management, integrations, enforce data governance procedures and ensure data integrity across multiple platforms.

 

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