Job Description Summary
The Data Governance Analyst will support and participate in 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 ‘fit for purpose’. This position will report to the Director of Data Governance Adoption in the Chief Administration Office and support RJF as it builds its capabilities for enterprise data governance and data management.
The Data Governance Analyst is responsible for supporting enterprise efforts underway to identify and document all business and technical metadata required for sourced data in various Enterprise use cases outlined above.
In addition, the Data Governance Analyst will support the documentation of end-to-end data lineage requirements for use cases, tracing data flows from source to final consumption. Additionally, the role involves performing reverse analysis of existing use cases, mapping consumption points back to their originating sources. Responsibilities include identifying data issues and gaps, providing actionable recommendations, and collaborating closely with Technology teams and subject matter experts across Regulatory Reporting, Compliance, Risk, and Operations to promote and advance data governance adoption.
Job Description
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 and full lineage to consumption.
- Support the identification and documentation efforts for all Enterprise data sets and use cases
- Analyze and document end-to-end use case data flows from target to source into a Business Glossary document, identifying and documenting the data lineage and transformations, and data quality rules that are required, as well as improvement opportunities throughout the data flow.
- Use Ab Initio tool to load data catalogs, required business terms / definitions, link business to technical data elements, categorizing criticality of each data element, and working with IT to complete the data lineage from 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 data quality controls, help remediate data gap issues and improve processes to prevent future data concerns.
- Track, resolve and escalate issues for own projects while keeping relevant stakeholders informed.
- Maintain project deliverables including reporting and tracking status using PowerPoint, Excel, SharePoint, and Teams Planner
- Create effective presentations to be used with business audiences of various levels.
- Support day-to-day activities that align to data governance and management activities, various end-to-end data efforts, and optimize metrics and progress reporting processes.
- Monitor and support governance of data management processes
- Identify opportunities to improve governance processes, efficiency, and execution rigor
- Facilitate discussions with cross-functional stakeholders to evaluate data use cases, risks, and compliance requirements.
Knowledge of
- Foundational data quality principles and how they contribute to ‘fit for purpose’ data.
- Data development lifecycle – requirements, source analysis, data design, ETL development, test & validation, deployment, monitoring & operations, governance & stewardship
- 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 or other regulatory bodies is a plus.
Skill in
- Hands-on expertise in leveraging Domain Specific Languages such as SQL to retrieve, combine and manipulate large data sets.
- Deep 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).
- Experience delivering data quality improvements 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.
- Demonstrated strong execution capabilities and entrepreneurial mindset to go above and beyond delivering core responsibilities.
Ability to
- Analyze, problem-solve and prioritize
- Demonstrate strong analytical thinking and autonomy in translating problems into efficient, executable solution
- Understand data models and taxonomies, with deep skills in data quality, controls and remediation
- Produce and articulate meaningful data quality metrics and KPIs
- Help drive data quality strategy and foster data culture across the organization
Education
Bachelor’s: Actuarial Science, Bachelor’s: Computer and Information Science, Bachelor’s: Data Science
Work Experience
General Experience - 6 to 10 years
Certifications
Travel
Less than 25%
Workstyle
Hybrid
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.
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