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Technology Operations Enterprise Data Strategy Jobs in Florida

Maximus

Data Operations Technical Lead

Tampa, FL · On-site

... enterprise data into a strategic asset and enables advanced analytics and AI across warfighting ... Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS082, T4, Band 7 Job ...

SmartIPlace

ENTERPRISE DATA ANALYST

Juno Beach, FL · On-site

$50 - $55/hr

This role uses a blend of business analysis and data expertise to drive the successful use of enterprise data, break down silos, and contribute to overarching business strategies. The DA serves as an ...

Alivi Health

Director of Business Intelligence

Miami, FL · On-site

$190 - $230/hr

DUTIES & RESPONSIBILITIES Enterprise Data Strategy & Leadership * Serve as the enterprise leader ... and operational teams. Innovation & Continuous Improvement * Champions emerging technologies and ...

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Technology Operations Enterprise Data Strategy information

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.

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 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.

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

Director of Data & Artificial Intelligence

Octagon Talent

Fort Lauderdale, FL • On-site

Other

Re-posted 17 days ago

Job description

Job Description
Job Description

Octagon Talent Solutions is seeking a highly skilled and visionary Director of Data Science & Artificial Intelligence in the Fort Lauderdale, FL area to lead enterprise data, analytics, and AI initiatives. This role reports to senior executive leadership and will serve as the bridge between business strategy, data architecture, and technical execution across Microsoft Fabric, Azure Data Factory, Databricks, Spark/PySpark, Delta Lake, and medallion architecture. The ideal candidate brings executive presence, hands-on credibility, and the ability to influence senior stakeholders while guiding technical teams through modernization, governance, reporting, and AI-readiness initiatives.


Key Responsibilities:


  • Lead the Data Science, Analytics, and AI function with executive-level ownership of enterprise data strategy, platform modernization, reporting, governance, and AI enablement.
  • Report to senior executive leadership and act as a strategic advisor to business leaders, translating operational priorities into scalable data, analytics, and AI solutions.
  • Own the roadmap for a modern hybrid data ecosystem across Microsoft Fabric, Databricks, Azure Data Factory, Delta Lake, and medallion architecture.
  • Guide the design and implementation of lakehouse and warehouse structures in Microsoft Fabric and Databricks, ensuring scalable bronze, silver, and gold data layers that support reporting, analytics, and AI use cases.
  • Oversee Azure Data Factory orchestration, ETL/ELT pipeline strategy, data movement, and integration patterns across enterprise source systems.
  • Provide technical leadership across Spark/PySpark, SQL, Databricks workflows, Fabric Lakehouse/Warehouse, Delta tables, and data engineering best practices.
  • Partner closely with data engineers, data architects/modelers, Power BI specialists, and business stakeholders to define trusted data models, KPIs, semantic layers, and reporting standards.
  • Establish governance standards for data quality, lineage, documentation, naming conventions, access, and metric definitions so business users can rely on consistent enterprise data.
  • Lead AI and advanced analytics initiatives by ensuring the underlying data architecture is clean, well-modeled, secure, and ready for machine learning, automation, and agentic AI use cases.
  • Present complex data, AI, and platform recommendations to executives with clarity, confidence, and business relevance; must demonstrate strong executive presence and the ability to influence at the senior leadership level.
  • Mentor and develop technical team members while remaining close enough to the architecture to challenge assumptions, unblock execution, and raise the technical bar.
  • Evaluate emerging capabilities in Microsoft Fabric, Databricks, Spark, Power BI, and AI orchestration, integrating practical innovations that support measurable business outcomes.


Requirements:


  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field; Master's or Ph.D. preferred.
  • At least 7-10 years of experience across data science, data engineering, analytics, or enterprise data architecture, with a minimum of 3 years in a leadership or managerial role.
  • Hands-on leadership experience with Microsoft Fabric, Databricks, Azure Data Factory, Spark/PySpark, Delta Lake, and medallion architecture.
  • Proven expertise in AI orchestration methodologies and tools, with a solid understanding of model deployment, monitoring, and the data architecture required to support AI at scale.
  • Strong experience with Power BI for data visualization and reporting, including knowledge of DAX and Power Query.
  • Proficient in programming languages such as Python, R, or SQL, with experience in machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Excellent analytical and problem-solving skills, with a strategic mindset and a passion for turning data into insights.
  • Exceptional leadership, communication, and executive presence, with the ability to convey complex concepts to technical teams, business leaders, and senior executives.
  • Experience in agile methodologies and project management is a plus.


Why Join Us

This is an exciting opportunity to shape the future of the organization through data-driven insights and innovative AI solutions. If you are a forward-thinking leader with a passion for data science and a commitment to excellence, we invite you to apply and become a key driver of the data strategy.


Apply