Work with the Chief Data Officer on implementing the Data Management Roadmap, inclusive developing a data quality program, implementing data retention, defining new data policies and standards, and developing communicating and training programs.

More Uses of the Chief Data Officer Toolkit:

  • Ensure you enlist; lead the end to end model development lifecycle from data preparation and feature engineering to model deployment and retraining.
  • Create a taxonomy/data dictionary to communicate data requirements that are important to business stakeholders.
  • Supervise assigned staff, and ensures work is accomplished in accordance with established and emerging policy and practice.
  • Drive: in partnership with the Chief Data Officer, design, build, and operate a robust data ingestion, management, and analytics platform.
  • Adapt to existing methods and procedures to create possible alternative solutions to moderately complex problems.
  • Support the data governance efforts for the Chief Data Officer (cdo) and enterprise data management (EDM).
  • Formulate: champion and build team culture by tracking, celebrating, and highlighting important team and employee milestones.
  • Create a seamless, integrated data management, ownership, security, monetization, data quality, data privacy, data policy needed to form an industry leading data governance organization, resulting in growth and highly valued data assets.
  • Identify and expose metrics driven insights and indicators of data and team effectiveness and health.
  • Ensure all of your professionals receive comprehensive training covering business acumen, technical and professional skills development.
  • Initiate self driving data quality improvements and evolve to self service streaming and batch workloads.
  • Establish information asset management best practice (data management standardization, utilization, and quality).
  • Assure your organization complies; partners with it (and more specifically the Chief Data Officer and the teams) to translate data requirements and business process automation to improve business rules and drive improved data quality.
  • Support departments to consider the ethical and equity implications of data collection, use, and sharing.
  • Identify and resolve legacy problems to update compliance of and access to organizations data assets.
  • Run data and dashboard quality assurance throughout the design phase in collaboration with your team.
  • Ensure robust oversight and credible challenge with clear expectations set with IT and business data Control Owners.
  • Collaborate with the Enterprise architecture, consulting partners and client IT team as warranted to establish and implement strategic initiatives.
  • Manage work on problems of diverse scope where analysis of data or situations requires evaluation of identifiable factors.
  • Ensure that organizational strategies, policies, procedures, and actions give appropriate focus, attention, and commitment to diversity of people, points of view, ideas, and insights.
  • Identify: expert knowledge in data, cloud, and enterprise architecture across the business, technology, data, application, and infrastructure domains.
  • Develop: work in partnership with your organization Chief Data Officer to ensure alignment of data management strategies and leverage shared infrastructure.
  • Coordinate annual organizational and program goals process, tracking and reporting on organizational priorities, key performance indicators, and strategic planning anticipated outcomes.
  • Audit: interface and collaborate daily with key stakeholders and partners across your organization locally and internationally.
  • Support the development of digital services and analytics in your organization through internal data sharing.
  • Confirm your enterprise leads the efforts on the development of cloud architectures that address business problems and accelerates the adoption of cloud services.
  • Be accountable for leading the data architecture capability for your organization in the modernization and standardization of the data systems throughout your organization.
  • Arrange that your operation complies; as your partners embark on a digital transformation of business, your solution increases operational efficiencies, enhances risk controls, and enables overall business growth.
  • Be accountable for providing a platform for data and drive growth while resolving the remaining technical and departmental friction points.
  • Be accountable for applying it theories, principles, concepts, methods, standards, and practices sufficient to develop new data theories, concepts, and principles.

 

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