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Data Governance Analyst – mid‑level role in Saint Petersburg, FL with hybrid work, focusing on regulatory reporting, data quality and enterprise data management.
Join Raymond James to lead data governance, improve data flows, and support the transition to a Category IV institution.
Job Description Summary
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).
The Data Governance Analyst is responsible for supporting enterprise efforts underway to identify and document all business and technical metadata required to source data leveraged for various Enterprise deliverables outlined above. In addition, the Data Governance Analyst will be responsible for supporting the documentation of all identified gaps related to Data Sourcing; collaborating with Technology to ensure that data effectively traverses from source to target systems; supporting the development and socialization of the appropriate metrics and progress reporting to various forums and councils; documenting and improving operational processes, including approval and escalation plans, data risk and controls adoption and implementation. The person in this role will partner with subject matter experts in Regulatory Reporting, Compliance, Technology, and other workstreams in the Category IV program to drive data strategy and continue to scale and improve the operating model for sourcing Enterprise data.
Work Visa
Please note: This role is not eligible for immigration Work Visa sponsorship, either currently or in the future.
Essential Duties and Responsibilities
- Fully understand various data and reporting flows across the Regulatory Reporting areas to identify data sourcing gaps
- Support the identification and documentation efforts for all Enterprise data sets
- 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
- Correspond and execute deliverables aligned with principles, policies, frameworks and procedures laid at the firm or business unit or function levels as per the guidance from the Chief Administrative Officer heading up the Business Controls & Risk function.
- 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
- Track, resolve and elevate issues for own projects while keeping relevant stakeholders informed.
- Maintain project deliverables including reporting and tracking status using PowerPoint, Excel, SharePoint, Teams and Microsoft Azure DevOps (TFS) tracking tool.
- Create effective presentations to be used with business audiences of various levels.
- Support day-to-day activities that align to data sourcing, and to optimize metrics and progress reporting processes.
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) is a plus.
- Familiarity with Federal Reserve Bank (FRB) and/or Office of the Comptroller of the Currency (OCC) regulatory requirements is a plus.
Skill in
- 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).
- Deep experience delivering data quality improvements and scaling data governance capabilities in a complex, transforming, multi‑national banking environment.
- 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.
- 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.
- Demonstrated strong execution capabilities and entrepreneurial mindset to go above and beyond delivering core responsibilities.
Ability to
Analyze, problem‑solve and prioritize
Understand data models and taxonomies, with deep skills in data quality, lineage, controls and remediation
Produce and articulate meaningful data metrics and KPIs
Help drive data governance adoption strategy and foster data culture across the organization
Education
- Bachelor’s: Business Administration, Bachelor’s: Computer and Information Science, Bachelor’s: Data Science, Bachelor’s: Finance
Work Experience
General Experience - 6 to 10 years
Certifications
Travel
Less than 25%
Workstyle
Hybrid
Compensation
The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.
At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client‑first, integrity, independence and a conservative, long‑term view.
We expect our associates at all levels to:
- Grow professionally and inspire others to do the same
- Work with and through others to achieve desired outcomes
- Make prompt, pragmatic choices and act with the client in mind
- Take ownership and hold themselves and others accountable for delivering results that matter
- Contribute to the continuous evolution of the firm
At Raymond James – as part of our people‑first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive.
The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.