Understanding business problems and the Digital Factory product roadmap
Working with product teams to identify required data / information for their solutions and the existing sources of said data. This includes quality assessment and technical knowledge of data source capabilities (i.e., data capture frequency, known issues, etc.)
Working with Product Teams and the Data Integration Engineer to ensure that new data sources deployed for DF products meet data quality requirements
Monitors and manages metadata and ensures usefulness of metadata in improving effectiveness and quality of data
Work with the Data Domain Owners to understand the Data Domain, Data entities, Data Standard definitions, Data Classification rules and drive Data Quality framework to support enterprise level data architecture.
Implements processes and systems to monitor data quality, ensuring production data is always accurate, complete and consistent and available for key stakeholders and downstream business processes.
Define and govern data modelling and design standards, tools, best practices, and related development methodologies for the Data Catalog Organization
Create logical and physical data models using best practices to ensure high data quality and reduced redundancy
Develop and maintain data lineage and source to target mappings to support data platform architecture
Ability to coach members of the teams on achieving goals and developing necessary skills to get results
Ability to provide leadership in product quality, technical excellence and engineering practices
Responsible for establishing and enforcing standards and practices with the software development team.
If you feel this opportunity suits you, or Cognizant is the type of organization you would like to join, we want to have a conversation with you! Please apply directly with us.
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