Data Governance Analyst (LFI)

Job Description Summary

Job Description

Job Description:

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 escalate 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

Work Experience

Certifications

Travel

Workstyle

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 .

At Raymond James our associates use five guiding behaviors (Develop Collaborate Decide Deliver Improve) to deliver on the firms 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.