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Technology Operations Enterprise Data Strategy Jobs in Stuart, FL

Sr. Mgr R&D Applications and Systems

Palm Beach Gardens, FL ยท On-site

$107K - $148K/yr

... platform strategy aligned to R&D and enterprise IT objectives. * Own product-side governance ... Master data strategy & integrations * Define and operationalize master data models, governance ...

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Technology Operations Enterprise Data Strategy information

See Stuart, FL salary details

$22

$63

$80

How much do technology operations enterprise data strategy jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for technology operations enterprise data strategy in Stuart, FL is $63.48, according to ZipRecruiter salary data. Most workers in this role earn between $55.19 and $72.79 per hour, depending on experience, location, and employer.

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 near Stuart, FL are hiring for Technology Operations Enterprise Data Strategy jobs? Cities near Stuart, FL with the most Technology Operations Enterprise Data Strategy job openings:

Data Platform & Analytics Manager

RED RHINO

Palm Beach Gardens, FL โ€ข Remote

$130K - $180K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Join the RED RHINO Team! 

Here at RED RHINO, we are looking for a data-driven leader to own our analytics strategy, platform, and team. You\'ll work with a modern Microsoft stack, partner with leaders across the business, and turn data into one of our sharpest competitive advantages. If you geek out over clean data models, love building high-performing teams, and want a high-visibility role where your work shapes how an entire organization makes decisions, we want to hear from you!

Pay and Perks: 
  • Compensation: $130k- $180k salary.
  • Standard full-time employee benefits package.
About the Role:
  • HQ or remote position.
  • Define and execute RED RHINO\'s multi-year data and analytics strategy, including roadmaps for data engineering, governance, semantic modeling, master data management, and self-service analytics aligned with company and AI priorities.
  • Oversee the architecture, reliability, and scalability of the enterprise data platform across Microsoft Fabric, Azure Synapse, Azure Data Factory, Azure SQL, and Power BI, including ingestion, transformation, and delivery standards.
  • Lead integration of operational systems including field service, finance, HR, and customer platforms into a centralized data environment while maintaining security, compliance, and disaster recovery standards.
  • Drive enterprise-grade Power BI delivery, including semantic models, dashboards, certified datasets, and a trusted catalog of KPIs, transitioning the organization toward scalable self-service analytics.
  • Lead, coach, and grow the BI and Analytics team while partnering with department leaders, the CTO, and business stakeholders to translate challenges into analytics solutions and align data initiatives with organizational priorities.
  • Champion enterprise data governance practices including data quality, lineage, stewardship, and accessibility, and ensure data assets are structured to support AI and automation initiatives such as Microsoft Copilot.
  • Architect and deliver scalable data integration pipelines that unify structured sources (operational systems, transactional databases, SaaS platforms) and unstructured sources (documents, communications, media, third-party feeds) into a cohesive enterprise data foundation supporting analytics and AI applications across all business units.
  • Design and implement robust API integrations and connector frameworks (REST, GraphQL, webhooks, event-driven) with hands-on expertise in modern integration patterns, ETL/ELT tooling, and middleware; building reliable, observable integrations that scale across a growing portfolio of source systems.
What We\'re Looking For:
  • 10+ years of progressive data, analytics, or BI experience, including 3-5 years in a leadership role managing teams and owning enterprise data platforms, with a demonstrated track record in a mid-market or larger operating company.
  • Deep hands-on expertise with the Microsoft data and analytics stack including Microsoft Fabric, Azure Synapse, Azure Data Factory, Azure SQL, and Power BI.
  • Strong knowledge of modern data architecture, dimensional modeling, star/snowflake schemas, and semantic modeling for BI, with advanced SQL skills and the technical depth to credibly lead an engineering team.
  • Demonstrated experience establishing data governance practices including data quality, lineage, and access management.
  • Exceptional leadership and communication skills with the ability to translate business needs into technical solutions and influence at all levels of the organization, paired with strong prioritization and risk management in complex, fast-moving environments.
  • Experience supporting AI initiatives such as preparing data for Microsoft 365 Copilot, Copilot Studio agents, or similar capabilities is strongly preferred; background in home services, field service, or operationally complex industries is a plus.

Drug screening and criminal background checks will be performed on all new hires. RED RHINO is a Drug-Free Workplace and Equal Opportunity Employer.