Be accountable for creating data quality scorecards on various attributes to grade the source data to the golden record (completeness, accuracy, duplication, consistency, conformity, integrity), and data analyst tool allows Data Stewards to choose components, create and refresh scorecards.

More Uses of the Data Steward Toolkit:

  • Provide expertise advice and consultation to executive management, internal departments and outside organizations to identify and research outstanding Transformation data governance issues.
  • Be certain that your organization across multiple systems, for a variety of investment products, with the goal of providing accurate, timely data that is used for analytics, risk management, trading, finance, compliance, marketing and client reporting.
  • Coordinate with data custodians, Data Stewards and other support teams regarding app operations, data quality in the app, data demand / consumption requirements, and open data quality exceptions / issues.
  • Steer: closely partner with Data Stewards to understand the needs of the business and what data relationships the models represent along with helping to identify what relationships and dependencies also need to be reflected.
  • Establish consistent business processes for source data and develop business rules and data governance policies to ensure integrity and quality of your foundational data assets.
  • Establish an enterprise data catalog to ensure an accurate inventory of data assets and appropriate context to enable data analysts, Data Stewards, and other data consumers to find and understand appropriate datasets.
  • Represent technology in the data governance organization and provide progress reports to board management and oversee periodic updates to data governance technology roadmap.
  • Serve as a liaison between Business and functional Product domains to ensure that data related business requirements for protecting sensitive data are clearly defined, communicated, understood, and complied with.
  • Head: data call for changes to production systems, determines impact on existing systems, processes and develops appropriate specifications, enhancements and or procedures to comply.
  • Maintain and advise relevant stakeholders on data governance related matters in a specific domain (Customer, Material, Vendor, Finance, Consumer) with a focus on the business use of the data.
  • Analyze systems of record and associated data stores to develop and maintain logical and physical data models, working closely with business owners and Data Stewards.
  • Formulate: effectively communicate with enterprise Data Stewards, data specialists, and IT system support teams to resolve data management conflicts and escalate issues to management on a timely basis.
  • Coordinate with the database administration group to ensure day to day activities (statistics collection and reporting) are performing in the most efficient manner (data warehouse and big data environments).
  • Ensure your organization ls and cos vision is to be a data driven organization that applies analytics, machine learning, and automaton to making decisions, and predicting and shaping desired outcomes across the business.
  • Oversee: conduct research on emerging data integration products, languages, and standards in support of procurement, development, security, and integration efforts in relation to the cloud, bi, and big data management.
  • Create reporting and/or data quality scorecards to enable collaboration with business data owners and stakeholders to provide visibility and drive decisions for ensuring data consistency and quality.
  • Advise on various projects and initiatives to ensure that any data related changes and dependencies are identified, communicated and managed to ensure adherence with the Enterprise Data Governance established standards.
  • Confirm your organization participates in technology development and improvement efforts to incorporate data governance consistency across systems and ensure that diverse data and data information systems users needs are accounted for as systems are developed.
  • Manage the customer data governance framework that establishes the mechanisms through which people, process, and technology elements are synthesized to effectively manage customer data.
  • Lead: preparation of etl technical specifications and identification of gaps and get it reviewed by data architects, business smes and proper sign off and developer handover.
  • Identify areas for data quality improvements and help to resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies.
  • Ensure you assess; lead testing phase of data integration development in order to identify and remedy potential problem areas through collaboration with analysts, Data Stewards, developers, and system owners.
  • Facilitate timely and quality release of data and analytic products to external partners for appropriate purposes, without compromising privacy and confidentiality concerns.
  • Ensure you enhance; understand the upstream and downstream data impact and directs the development, implementation, and management of control structures and business rules used to govern data transformations.
  • Establish that your organization executes with excellence is action oriented, drive for results, sets clear expectations and milestones, review progress, acts decisively, solves problems, can be counted on to consistently meet or exceed goals.


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