Jobs · Florida

Data Governance Analyst (LFI)

Raymond James · St. Petersburg, FL · 5 days ago
Full-time

About the role

The Data Governance Analyst will lead and support various data governance efforts across the Business Unit areas to ensure that enterprise data used for reporting, modeling, key business decisions and executing RJF end-to-end business processes is available, documented and 'fit for purpose'. This position will report to the Director of Data Governance in the Chief Administration Office and support RJF as it builds its capabilities to transition to a Category IV institution (LFI).

Responsibilities

  • Identify and document all business and technical metadata required to source data leveraged for various Enterprise deliverables.
  • Analyze and document the data flows from source to target systems into a Business Requirements document, identifying the data transformations that are required, as well as improvement opportunities for the data flows.
  • Use Ab Initio tool to load Data Catalogs and required Business Terms and definitions, link Business to Technical Data Elements, categorize criticality of each Data Element, and complete the data lineage from upstream data sources to reports.
  • Collaborate with appropriate business stakeholders/remediation owners to implement the appropriate data quality controls, help remediate data gap issues and improve processes to prevent future data concerns.
  • Ongoing monitoring and maintenance of Enterprise Business Glossaries and Data Dictionaries.
  • Create effective presentations to be used with business audiences of various levels.
  • Performing gap analyses, presenting viable options and gaining 'buy-in' from key stakeholders.
  • Deep analytical skills in tracing data from source to target and documenting the data lineage across multiple data hops.
  • Produce and articulate meaningful data metrics and KPIs.
  • Help drive data governance adoption strategy and foster data culture across the organization.

Requirements

  • Knowledge of Foundational data governance principles and how they contribute to 'fit for purpose' data.
  • Concepts, principles and practices of internal controls and data management and governance.
  • Principles of banking, finance and securities industry operations, and familiarity with accounting and finance related topics.
  • General familiarity with risk and control framework of Category IV financial institution.
  • Concepts of business analytics and familiarity with business intelligence tools such as Python, Tableau, Qlik, MS Power BI, MS Teams, SharePoint, etc.
  • Experience in using data gap remediation and data quality monitoring tools (particularly Microsoft DevOps (TFS), Ab Initio, Collibra, IBM InfoSphere or Informatica Data Quality).
  • Familiarity with Federal Reserve Bank (FRB) and/or Office of the Comptroller of the Currency (OCC) regulatory requirements.
  • Hands-on expertise in leveraging Domain Specific Languages such as SQL to retrieve, combine and manipulate large data sets.
  • Broad understanding of enterprise data management concepts, principles and current industry practices.
  • Strong "soft" skills in collaboration, facilitation, coordination, logistics, presentation, marketing, and excellent communication skills (both written and verbal).
  • Organizational and planning skills, showing an ability to operate in a multi-geography, matrix organization; managing and where necessary leading activities through cross-functional teams, with the discipline to track delivery of complex deliverables over multiple months.
  • Excellent communication skills (both written and verbal), including the ability to present complex concepts and strategies successfully.
  • Demonstrated strong execution capabilities and entrepreneurial mindset to go above and beyond delivering core responsibilities.

Qualifications

  • Bachelor’s: Business Administration, Bachelor’s: Computer and Information Science, Bachelor’s: Data Science, Bachelor’s: Finance.

Skills

  • Hands-on expertise in leveraging Domain Specific Languages such as SQL to retrieve, combine and manipulate large data sets.
  • Broad understanding of enterprise data management concepts, principles and current industry practices.
  • Strong "soft" skills in collaboration, facilitation, coordination, logistics, presentation, marketing, and excellent communication skills (both written and verbal).
  • Organizational and planning skills, showing an ability to operate in a multi-geography, matrix organization; managing and where necessary leading activities through cross-functional teams, with the discipline to track delivery of complex deliverables over multiple months.
  • Excellent communication skills (both written and verbal), including the ability to present complex concepts and strategies successfully.
  • Demonstrated strong execution capabilities and entrepreneurial mindset to go above and beyond delivering core responsibilities.

Benefits

  • To view more details of the benefits offered, visit Myrjbenefits.com.

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