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Temporary Data Governance Analyst Jobs in Florida

... analytics teams to implement metadata management practices Support documentation and visibility of data lineage across modern data platforms (Databricks, Kafka, cloud databases) Collaborate on ...

The Data Governance Lead is responsible for supporting the organization's data governance, data ... Collaborate with data engineering, analytics, privacy, security, and architecture teams to ensure ...

Job Title Data Governance Specialist Location Doral, FL 33122 US (Primary) Category Intelligence ... We are a global operations and solutions integrator delivering full-spectrum intelligence analysis ...

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Temporary Data Governance Analyst information

What is a temporary data governance analyst?

Temporary Data Governance Analysts are professionals hired on a short-term basis to help organizations manage, organize, and ensure the quality and security of their data. They assist in developing and enforcing data policies, standards, and practices to ensure data integrity and compliance with regulations. Their responsibilities may include data classification, data mapping, documentation, and process improvement. Temporary roles are often used to support specific projects, address compliance requirements, or cover for staffing gaps. These analysts work closely with IT, compliance, and business teams to implement effective data governance frameworks.

What are the key skills and qualifications needed to thrive as a temporary data governance analyst, and why are they important?

To thrive as a Temporary Data Governance Analyst, you need a solid understanding of data management principles, data quality standards, and typically a bachelor’s degree in information systems or a related field. Familiarity with data governance frameworks, metadata management tools, and platforms like Collibra or Informatica is often required. Strong analytical thinking, attention to detail, and the ability to communicate complex data concepts clearly are valuable soft skills in this role. These skills are crucial for ensuring data integrity, regulatory compliance, and supporting informed business decision-making.

What are the typical challenges faced by a temporary data governance analyst, and how can they be effectively managed?

Temporary Data Governance Analysts often encounter challenges such as quickly adapting to existing data management processes, understanding complex data structures, and aligning with company-specific compliance requirements. Since the role is project-based and time-limited, it’s crucial to rapidly build relationships with data owners, IT teams, and business stakeholders to gather necessary information. Proactive communication, strong documentation practices, and leveraging existing data governance frameworks help ensure a smooth transition and successful project outcomes.

What is the difference between Temporary Data Governance Analyst vs Data Analyst?

AspectTemporary Data Governance AnalystData Analyst
Required CredentialsBachelor's in IT, Data Management, or related field; certifications like CDMP are a plusBachelor's in Statistics, Computer Science, or related field; certifications vary
Work EnvironmentProject-based, often in corporate or consulting settings focusing on data policiesOffice or remote, analyzing data sets to generate reports and insights
Employer & Industry UsageUsed in industries with strict data compliance needs like finance, healthcare, and techCommon across various industries for data-driven decision making

The Temporary Data Governance Analyst primarily focuses on managing data policies, compliance, and data quality during specific projects, often in regulated industries. In contrast, Data Analysts analyze data to generate insights and reports, supporting business decisions across diverse sectors. While both roles require strong analytical skills, the governance analyst emphasizes data policies and quality, whereas the data analyst emphasizes data interpretation and reporting.

What are the most commonly searched types of Data Governance Analyst jobs in Florida?

The most popular types of Data Governance Analyst jobs in Florida are:

Data Governance Analyst (LFI)

Saint Petersburg, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Job description

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.

Job Description

Work Visa:

Please note: This role is not eligible for immigration Work Visa sponsorship, either currently or in the future.

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

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

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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