Data Steward

Job Profile Summary To implement the strategy and business processes required to create, maintain, and enhance data, be responsible for the daily management of a critical data asset and provide overall guidance and governance oversight to an allocated data set and actively manage data in order to maximize value, align data to business priorities, continuously improve data quality, reduce cost of data management, and to increase confidence in data and information integrity.

Job Description

Provide input into the definition of data processes and standards.

• Embed data policies, standards, tools and best practices within the data domain of responsibility.
• Provide input into domain-level data architecture and data management best practices.
• Evaluate existing information management landscape and produce report for areas of improvement.
• Attend relevant information management working groups and implement requirements accordingly.
• Ensure compliance with internal policy, regulatory requirements and data practice standards.
• Interacts and builds relationships with internal and external stakeholders to ensure compliance with statutory requirements.
• Develop data service level agreements (SLAs).
• Document business term definitions.
• Create and maintain reference data and master data definitions.
• Ensure reference and master data management processes address uniformity, accuracy, accountability across entities.
• Maintain metadata, data quality rules, Enterprise Data Model (EDM), reference data, records register, where applicable.
  • Publish relevant meta data to appropriate users in an organization, and monitor the published data sources for usage, relevance and quality feedback.
  • Create and manage business metadata for published data sources to ensure that it is easily discoverable, and meaningful to information workers.
  • Respond to data queries e.g. data quality issues as defined by the data quality issue resolution process.
  • Co-ordinate data quality issue resolution.
  • Perform root cause analysis to resolve data quality issues and implement solutions accordingly.
  • Assess the access request and action according to access standards and information owner approvals.
  • Monitor user access and usage of the data sets owned or accountable for.
  • Define and obtain sign off on measurement for information management disciplines.
  • Provide input into information management metrics.