Data Analytics Manager

The Data Custodian is a senior level position having extensive data analysis expertise and experience in managing and owning applications from a technology perspective. The skills outlined are supporting guidance based on interpretation of Data Custodian responsibilities and is not all inclusive. This role is ultimately accountable and responsible for ensuring data quality of their respective application(s) and completing required data management activities.

Responsibilities:

• Change-the-Bank (CTB): activities required for the Data Quality Program initiative for assigned application(s)
  • Accountable/ responsible for confirming the safe, accurate, and controlled sourcing, transport, transformation, and storage of data within their application(s)
  • Accountable/ responsible for implementation of Data Quality rules within their application(s) in coordination with Data Stewards and Business Architects by Data Domain
  • Accountable/ responsible for documenting data level lineage within their application(s)
• Run-the-Bank (RTB): support ongoing data quality management at the bank for assigned application(s)
  • Accountable/ responsible for confirming the safe, accurate and controlled sourcing, transport, transformation, and storage of data within their application(s)
  • Accountable/ responsible for maintaining Data Quality rules within their application(s)
  • Accountable/ responsible for implementing Data Quality issue remediation in their application(s) as needed in coordination with Data Stewards
  • Accountable/ responsible for maintaining data level lineage and traceability of data within their application(s)

Qualifications/Skills:

• General Experience
  • Previous management of application day-to-day operations
    • data storage management
    • data quality
    • data transformations
    • data transfers
  • Prior application ownership
    • managing budgets
    • determining required enhancements
    • leading teams of IT support staff
  • Experience driving application enhancements and change initiatives
  • Liaison with business owners on all of the above activities
• Data Knowledge
  • Experience addressing inconsistencies in data and resolving data quality issues in applications
  • Experience with the metadata and data flow through an application to support capture, organization, movement, transformation, and storage of data
  • Experience managing Data Dictionaries
  • Experience managing upstream & downstream data consumption needs required for an application
• Technical Expertise
  • Ability to understand technical infrastructure, including application operations
  • Data transfers and knowledge of data security
  • Implementation, maintenance, and monitoring performance of Data Quality rules in an application
  • Utilize Statistical Analysis System (SAS) and Autosys in a UNIX environment tomanage the ETL and scheduling of the production processes
  • Experience with base SAS and/or SAS Enterprise Guide
  • Experience navigating UNIX operating system, Unix scripting and scheduler tools (i.e. Autosys, Maestro, LSF)
  • Experience with SAS Data Integration Studio a plus
  • Experience with JIRA and Agile methodology a plus

Required Data Management Activities:

• Weekly
  • Coordinate with Data Stewards and other stakeholders regarding open Data Quality exceptions/ issues within their application and implement remediation as needed
  • Perform Data Quality checks to ensure safe, accurate, and controlled sourcing, transport, access and storage of data within their applications
• Monthly
  • Execute and provide results for Data Quality scorecards to the Data Quality Portal
  • Review the data level lineage and traceability of data and communicate any changes to the applicable DGO & CDO with support from Data Stewards and Process Owners
• Quarterly
  • Engage with Data Stewards & Data Providers regarding the review, maintenance and implementation of Preventive Data Quality controls to confirm data is captured correctly (e.g. maker/checker, data entry validation) and Detective Data Quality Controls to prevent Data Quality exceptions
  • Coordinate with Technology & Data Stewards to ensure that the Data Lineage toolset is working as intended, including managing technical metadata and coordinating Data Lineage tasks and testing activities
  • Review and update Data Quality rules in applications and confirm accuracy and availability of data for decision support, regulatory and financial reporting, and compliance monitoring, in coordination with Business Architects by Data Domain & Data Stewards
  • Review and update Data Dictionaries with support from Data Stewards
  • Perform Data Profiling (as needed) to discover, understand and provide transparency into inconsistencies in data, collaborating with Data Stewards
• Annually (or as required)
  • Coordinate with Process Owners to maintain data in adherence with the retention guidelines
  • Support Data Stewards in identification of CDEs and review and remediate discrepancies identified by CDO in impacted data sources

Education:

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred

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