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Technology Operations Enterprise Data Strategy Jobs in Florida

Incubator Lab

Head of Data

Miami, FL · Remote

$15K - $18K/mo

Data Strategy Alignment : Establish the enterprise-wide data roadmap to explicitly match corporate ... measurable revenue increases or operational cost reductions. * Tech Stack Familiarity

BakerHostetler

Data Solutions Engineer

Orlando, FL

$106K - $128K/yr

Your work will support and enhance our enterprise data strategy, including master data management ... Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure ...

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Technology Operations Enterprise Data Strategy information

What are the key skills and qualifications needed to thrive in Technology Operations Enterprise Data Strategy, and why are they important?

To excel in Technology Operations Enterprise Data Strategy, you need strong expertise in data management, analytics, and strategic planning, often backed by a degree in computer science, information systems, or a related field. Familiarity with data warehousing solutions, ETL tools, data governance frameworks, and certifications like CDMP or AWS Certified Data Analytics is highly valuable. Exceptional problem-solving, stakeholder management, and communication skills help drive cross-functional initiatives and align data strategies with business goals. These competencies ensure effective data-driven decision making, operational efficiency, and long-term organizational success.

How does a Technology Operations Enterprise Data Strategy professional typically collaborate with other departments within an organization?

Professionals in Technology Operations Enterprise Data Strategy work closely with multiple departments, such as IT, business analytics, compliance, and executive leadership. They often facilitate communication between technical teams and business stakeholders to ensure that data initiatives align with organizational goals. This role involves coordinating data governance policies, integrating new technologies, and supporting data-driven decision-making across the enterprise. Successful collaboration requires strong communication skills and a deep understanding of both technical and business perspectives.

What is Technology Operations Enterprise Data Strategy?

Technology Operations Enterprise Data Strategy refers to the planning, management, and implementation of data-related processes and technologies across an organization to support its operational goals. This role involves setting standards for data governance, ensuring data quality, and aligning data initiatives with business objectives. Professionals in this field work to optimize data flow, storage, and security, enabling better decision-making and efficiency. They often collaborate with IT, business units, and data analytics teams to ensure data assets are leveraged effectively across the enterprise.

What is the difference between Technology Operations Enterprise Data Strategy vs Data Analyst?

AspectTechnology Operations Enterprise Data StrategyData Analyst
CredentialsTypically requires a degree in IT, Data Science, or related fields; certifications like CDMP or CBIP are commonRequires a degree in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate or Tableau Desktop Specialist are common
Work EnvironmentFocuses on strategic planning, data governance, and infrastructure within enterprise IT teamsFocuses on data collection, analysis, and reporting to support business decisions
Employer & Industry UsageUsed in large organizations managing enterprise data assets and IT operationsUsed across industries for data reporting, visualization, and insights

While Technology Operations Enterprise Data Strategy professionals focus on aligning data initiatives with business goals and managing data infrastructure, Data Analysts primarily analyze data to generate actionable insights. Both roles require strong analytical skills but differ in scope and strategic involvement.

What cities in Florida are hiring for Technology Operations Enterprise Data Strategy jobs? Cities in Florida with the most Technology Operations Enterprise Data Strategy job openings:
Technology Operations Enterprise Data Strategy jobs near you

Data Governance Analyst (LFI)

Raymond James Financial, Inc.

Saint Petersburg, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 hours 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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