Director Of Data Governance Jobs in Florida
Director Of Data Governance jobs in Florida are actively sought across financial services, healthcare, and state government, with demand concentrated at the senior and executive level as organizations formalize data compliance and stewardship functions. The largest hiring markets are Miami, Tampa, and Jacksonville, where institutions like Citigroup, Humana, and the State of Florida's Agency for State Technology maintain substantial data operations. The most in-demand specialties include data quality frameworks, regulatory compliance governance, and enterprise metadata management. See the openings below and apply to the ones that match your experience.
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Showing 5 of 14+ Director Of Data Governance jobs
Why Choose Suddath to “Move” your Career to the Next Level?
At Suddath, you can be part of something special and inclusive! Join a team that has a 100+ year reputation for excellence as an innovative, growing and financially stable company that is dedicated to promoting a culture that thrives on inclusion and diversity. From numerous awards to being recognized as one of the best places to work, Suddath offers a caring, family environment while providing relocation and logistics services to people and companies all around the world.
What We Offer!
- A competitive wage with a comprehensive benefits package, including a 401(k) plan with company matching
- Weekly pay for hourly-paid employees. Biweekly pay for salaried employees.
- Paid Time Off (PTO) and paid company holidays
- A tuition reimbursement plan where employees are encouraged to continue their education and development
- For more information on our benefit offerings, please visit https://suddath.com/about/careers/ and scroll down to view our employee benefits.
General position summary:
The Data Governance & AI Readiness Architect serves as Suddath’s enterprise subject matter expert and functional leader for data services, governance execution, data quality, reporting, analytics, and AI-ready data operations within the Innovation team. This role leads the Enterprise Data team while advising business and corporate services stakeholders on enterprise data standards, trusted data assets, and the data readiness required to support analytics, automation, machine learning, and responsible AI.
The role leads Suddath’s evolution toward a more governed, business-aligned, Microsoft Fabric-enabled, and AI-ready operating model. The position balances the reliability of current data services with modernization of data platforms, semantic models, governance practices, and business-facing data products.
This leader is responsible for advancing Microsoft Fabric capabilities, optimizing DataOps through AI and automation, and managing relationships with Suddath’s businesses and corporate services, Microsoft and Microsoft partners, systems integrators, and specialist data and AI firms. The position translates enterprise data strategy into team objectives, delivery commitments, operational standards, measurable outcomes, and sustainable internal capabilities.
Essential Duties & Responsibilities:
-
Data Governance and Stewardship
Establish and operationalize enterprise standards for data ownership, stewardship, quality, metadata, lineage, access, and master and reference data. Sustain a cross-business data owner and steward model with clear decision rights, operating cadences, and accountability for remediation. Lead governance forums and report on priorities, risks, and decisions, partnering with cybersecurity, privacy, legal, and business leaders to mitigate data risk. -
Data Readiness for AI
Define and enforce the readiness criteria that make enterprise data usable for analytics, automation, machine learning, Fabric Data Agents, and responsible AI, including structure, semantics, documentation, and approved-use guardrails developed with cybersecurity, privacy, and legal. -
Microsoft Fabric Modernization
Guide the implementation, adoption, and governance of Microsoft Fabric, including data engineering patterns, workspaces, pipelines, semantic models, deployment practices, capacity management, and cost optimization. -
DataOps Optimization Through AI and Automation
Apply AI and automation across data operations to advance pipeline monitoring, anomaly detection, testing, documentation, root-cause analysis, predictive issue identification, and controlled remediation while maintaining appropriate human oversight. -
Enterprise Delivery, Partnerships, and Team Performance
Manage the Enterprise Data team, service priorities, major data-readiness and migration initiatives, and budgets. Own engagements with Microsoft, Microsoft solution partners, and systems integrators end to end, holding them accountable for deliverables, knowledge transfer, budget, and performance, and converting their work into durable internal capability.
Job Skills:
- Bachelor’s Degree (ideally in Computer Science, Information Systems, Data Management, or related field)
- 6+ years of data experience, including 2+ years in a leadership role
- Strong expertise in data governance, quality, metadata, stewardship, architecture, and AI readiness
- Experience with Microsoft Fabric, Power BI, Azure data platforms, and modern DataOps practices
- Experience using AI and automation to improve data quality, monitoring, reliability, and operational efficiency
- Experience managing Microsoft partners, system integrators, vendors, and internal stakeholders
- Experience leading data work through Kanban or Agile practices
- Strong communication, prioritization, team leadership, business partnership, and project management skills
Education & Experience:
- Bachelor’s Degree (ideally in Computer Science, Information Systems, Data Management, or related field)
- 6+ years of data experience, including 2+ years in a leadership role
- Strong expertise in data governance, quality, metadata, stewardship, architecture, and AI readiness
- Experience with Microsoft Fabric, Power BI, Azure data platforms, and modern DataOps practices
- Experience using AI and automation to improve data quality, monitoring, reliability, and operational efficiency
- Experience managing Microsoft partners, system integrators, vendors, and internal stakeholders
- Experience leading data work through Kanban or Agile practices
- Strong communication, prioritization, team leadership, business partnership, and project management skills
Language Skills:
- Ability to read and interpret policies, standards, technical documentation, statements of work, architecture materials, and procedure manuals.
- Ability to write standards, roadmaps, service updates, executive communications, operating procedures, and partner deliverables.
- Ability to speak effectively with team members, business partners, technical specialists, external partners, and senior leadership.
Mathematical Skills:
- Ability to apply quantitative reasoning to data quality, reliability, capacity, cost, service performance, prioritization, and operational outcomes.
- Ability to interpret trends, performance indicators, workload metrics, quality measures, and value signals to guide decisions.
Reasoning Ability:
- Ability to solve complex enterprise data problems involving governance, quality, architecture, AI-enabled operations, prioritization, risk, and service-delivery tradeoffs.
- Ability to assess partner recommendations and technical alternatives using business value, reliability, security, governance, cost, supportability, and strategic fit.
- Ability to interpret instructions provided in written, oral, diagram, architecture, workflow, or schedule form.
Computer Operations:
To perform this job successfully, an individual should have strong working knowledge of enterprise data and reporting platforms, including Microsoft Fabric, Power BI, Microsoft SQL Server, Azure SQL, SSIS, SSRS, SSAS, Azure Data Gateway, Azure DevOps, source control, Microsoft Office, and Microsoft Visio, along with the ability to learn and effectively use technologies supporting data engineering, analytics, governance, AI-enabled DataOps, observability, automation, and service management.
Planning/Organization:
- Ability to prioritize and re-prioritize as enterprise needs, stakeholder demand, platform dependencies, incidents, partner commitments, and service expectations evolve.
- Ability to manage team workload, modernization roadmaps, deadlines, budgets, partner deliverables, and service commitments while balancing governance, quality, reliability, and business value.
Certificates/Licenses/Registrations:
- None required; the following are preferred and strengthen candidacy:
- Microsoft Certified: Fabric Analytics Engineer Associate
- Microsoft Certified: Power BI Data Analyst Associate
- Microsoft Azure data-platform certification
- CDMP or another DAMA-aligned data management or governance credential
- PMP, ITIL, or comparable delivery and service-management certification
Travel:
- Less than 10% travel is required.
Supervisory Responsibilities:
- Direct supervisory responsibility for the Enterprise Data team, including performance management, hiring, coaching, talent development, succession planning, and workload prioritization.
- Typically manages 3-5 direct reports across data engineering and analysis roles including contractors.
Other Duties & Responsibilities:
- Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Working Conditions:
- Three days per week on site
- Additional on-site presence for team meetings and senior stakeholder reviews (as needed)
- Noise level in the work environment – usually low
Physical/Environmental Demands:
Activity:
- Stand - Under 1/3 Time
- Walk - Under 1/3 Time
- Sit – Over 2/3 Time
- Use hands to finger, handle, or feel - Over 2/3 Time
- Reach with hands and arms – 1/3 to 2/3 Time
- Climb or balance – None
- Stoop, kneel, crouch or crawl – Under 1/3 Time
- Talk or hear – over 1/3 to 2/3 time
- Taste or smell – None
- Other - None
Physical Activity Level:
- The employee must occasionally lift and/or move up to 10 pounds.
- While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel and talk or hear.
- The employee is occasionally required to reach with hands and arms.
Manual Dexterity:
- Manual dexterity is sufficient to reach/handle items, works with the fingers, and perceives attributes of objects and materials.
Special Vision Requirements:
- Specific vision abilities required by this job include close vision and ability to adjust focus.
The Suddath Companies is a multifaceted group of companies that specialize in worldwide corporate employee relocations, household moving, warehouse and logistics management and specialized transportation services.
The Suddath Companies provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Why Choose Suddath to “Move” your Career to the Next Level?
At Suddath, you can be part of something special and inclusive! Join a team that has a 100+ year reputation for excellence as an innovative, growing and financially stable company that is dedicated to promoting a culture that thrives on inclusion and diversity. From numerous awards to being recognized as one of the best places to work, Suddath offers a caring, family environment while providing relocation and logistics services to people and companies all around the world.
What We Offer!
- A competitive wage with a comprehensive benefits package, including a 401(k) plan with company matching
- Weekly pay for hourly-paid employees. Biweekly pay for salaried employees.
- Paid Time Off (PTO) and paid company holidays
- A tuition reimbursement plan where employees are encouraged to continue their education and development
- For more information on our benefit offerings, please visit https://suddath.com/about/careers/ and scroll down to view our employee benefits.
General position summary:
The Data Governance & AI Readiness Architect serves as Suddath’s enterprise subject matter expert and functional leader for data services, governance execution, data quality, reporting, analytics, and AI-ready data operations within the Innovation team. This role leads the Enterprise Data team while advising business and corporate services stakeholders on enterprise data standards, trusted data assets, and the data readiness required to support analytics, automation, machine learning, and responsible AI.
The role leads Suddath’s evolution toward a more governed, business-aligned, Microsoft Fabric-enabled, and AI-ready operating model. The position balances the reliability of current data services with modernization of data platforms, semantic models, governance practices, and business-facing data products.
This leader is responsible for advancing Microsoft Fabric capabilities, optimizing DataOps through AI and automation, and managing relationships with Suddath’s businesses and corporate services, Microsoft and Microsoft partners, systems integrators, and specialist data and AI firms. The position translates enterprise data strategy into team objectives, delivery commitments, operational standards, measurable outcomes, and sustainable internal capabilities.
Essential Duties & Responsibilities:
-
Data Governance and Stewardship
Establish and operationalize enterprise standards for data ownership, stewardship, quality, metadata, lineage, access, and master and reference data. Sustain a cross-business data owner and steward model with clear decision rights, operating cadences, and accountability for remediation. Lead governance forums and report on priorities, risks, and decisions, partnering with cybersecurity, privacy, legal, and business leaders to mitigate data risk. -
Data Readiness for AI
Define and enforce the readiness criteria that make enterprise data usable for analytics, automation, machine learning, Fabric Data Agents, and responsible AI, including structure, semantics, documentation, and approved-use guardrails developed with cybersecurity, privacy, and legal. -
Microsoft Fabric Modernization
Guide the implementation, adoption, and governance of Microsoft Fabric, including data engineering patterns, workspaces, pipelines, semantic models, deployment practices, capacity management, and cost optimization. -
DataOps Optimization Through AI and Automation
Apply AI and automation across data operations to advance pipeline monitoring, anomaly detection, testing, documentation, root-cause analysis, predictive issue identification, and controlled remediation while maintaining appropriate human oversight. -
Enterprise Delivery, Partnerships, and Team Performance
Manage the Enterprise Data team, service priorities, major data-readiness and migration initiatives, and budgets. Own engagements with Microsoft, Microsoft solution partners, and systems integrators end to end, holding them accountable for deliverables, knowledge transfer, budget, and performance, and converting their work into durable internal capability.
Job Skills:
- Bachelor’s Degree (ideally in Computer Science, Information Systems, Data Management, or related field)
- 6+ years of data experience, including 2+ years in a leadership role
- Strong expertise in data governance, quality, metadata, stewardship, architecture, and AI readiness
- Experience with Microsoft Fabric, Power BI, Azure data platforms, and modern DataOps practices
- Experience using AI and automation to improve data quality, monitoring, reliability, and operational efficiency
- Experience managing Microsoft partners, system integrators, vendors, and internal stakeholders
- Experience leading data work through Kanban or Agile practices
- Strong communication, prioritization, team leadership, business partnership, and project management skills
Education & Experience:
- Bachelor’s Degree (ideally in Computer Science, Information Systems, Data Management, or related field)
- 6+ years of data experience, including 2+ years in a leadership role
- Strong expertise in data governance, quality, metadata, stewardship, architecture, and AI readiness
- Experience with Microsoft Fabric, Power BI, Azure data platforms, and modern DataOps practices
- Experience using AI and automation to improve data quality, monitoring, reliability, and operational efficiency
- Experience managing Microsoft partners, system integrators, vendors, and internal stakeholders
- Experience leading data work through Kanban or Agile practices
- Strong communication, prioritization, team leadership, business partnership, and project management skills
Language Skills:
- Ability to read and interpret policies, standards, technical documentation, statements of work, architecture materials, and procedure manuals.
- Ability to write standards, roadmaps, service updates, executive communications, operating procedures, and partner deliverables.
- Ability to speak effectively with team members, business partners, technical specialists, external partners, and senior leadership.
Mathematical Skills:
- Ability to apply quantitative reasoning to data quality, reliability, capacity, cost, service performance, prioritization, and operational outcomes.
- Ability to interpret trends, performance indicators, workload metrics, quality measures, and value signals to guide decisions.
Reasoning Ability:
- Ability to solve complex enterprise data problems involving governance, quality, architecture, AI-enabled operations, prioritization, risk, and service-delivery tradeoffs.
- Ability to assess partner recommendations and technical alternatives using business value, reliability, security, governance, cost, supportability, and strategic fit.
- Ability to interpret instructions provided in written, oral, diagram, architecture, workflow, or schedule form.
Computer Operations:
To perform this job successfully, an individual should have strong working knowledge of enterprise data and reporting platforms, including Microsoft Fabric, Power BI, Microsoft SQL Server, Azure SQL, SSIS, SSRS, SSAS, Azure Data Gateway, Azure DevOps, source control, Microsoft Office, and Microsoft Visio, along with the ability to learn and effectively use technologies supporting data engineering, analytics, governance, AI-enabled DataOps, observability, automation, and service management.
Planning/Organization:
- Ability to prioritize and re-prioritize as enterprise needs, stakeholder demand, platform dependencies, incidents, partner commitments, and service expectations evolve.
- Ability to manage team workload, modernization roadmaps, deadlines, budgets, partner deliverables, and service commitments while balancing governance, quality, reliability, and business value.
Certificates/Licenses/Registrations:
- None required; the following are preferred and strengthen candidacy:
- Microsoft Certified: Fabric Analytics Engineer Associate
- Microsoft Certified: Power BI Data Analyst Associate
- Microsoft Azure data-platform certification
- CDMP or another DAMA-aligned data management or governance credential
- PMP, ITIL, or comparable delivery and service-management certification
Travel:
- Less than 10% travel is required.
Supervisory Responsibilities:
- Direct supervisory responsibility for the Enterprise Data team, including performance management, hiring, coaching, talent development, succession planning, and workload prioritization.
- Typically manages 3-5 direct reports across data engineering and analysis roles including contractors.
Other Duties & Responsibilities:
- Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Working Conditions:
- Three days per week on site
- Additional on-site presence for team meetings and senior stakeholder reviews (as needed)
- Noise level in the work environment – usually low
Physical/Environmental Demands:
Activity:
- Stand - Under 1/3 Time
- Walk - Under 1/3 Time
- Sit – Over 2/3 Time
- Use hands to finger, handle, or feel - Over 2/3 Time
- Reach with hands and arms – 1/3 to 2/3 Time
- Climb or balance – None
- Stoop, kneel, crouch or crawl – Under 1/3 Time
- Talk or hear – over 1/3 to 2/3 time
- Taste or smell – None
- Other - None
Physical Activity Level:
- The employee must occasionally lift and/or move up to 10 pounds.
- While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel and talk or hear.
- The employee is occasionally required to reach with hands and arms.
Manual Dexterity:
- Manual dexterity is sufficient to reach/handle items, works with the fingers, and perceives attributes of objects and materials.
Special Vision Requirements:
- Specific vision abilities required by this job include close vision and ability to adjust focus.
The Suddath Companies is a multifaceted group of companies that specialize in worldwide corporate employee relocations, household moving, warehouse and logistics management and specialized transportation services.
The Suddath Companies provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
See All 14 Director Of Data Governance Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
Find JobsDirector Of Data Governance Jobs by City in Florida
Where Florida roles are concentrated, by current openings.
Director Of Data Governance Job Market in Florida
A snapshot from current Florida openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Manufacturing
- Consulting & Professional Services
What Florida Employers Look For
The qualifications that appear most often in director of data governance jobs across Florida.
- Bachelor's or master's degree in information management, computer science, or a related field
- Seven or more years of experience in data management, analytics, or information governance roles
- Demonstrated experience building or leading enterprise data governance programs from the ground up
- Proficiency with data governance platforms such as Collibra, Alation, or Informatica
- Strong knowledge of regulatory compliance frameworks relevant to Florida industries including HIPAA and GLBA
- Experience collaborating with legal, compliance, and executive stakeholders to align data policy with business goals
Director Of Data Governance Jobs in Florida: Frequently Asked Questions
How do you become a director of data governance in Florida?
Most directors of data governance in Florida reach the role through a progression in data management, analytics, or IT leadership rather than a state-issued license. Florida does not require a specific state license for this position. Employers typically look for a master's degree in information systems or a related field combined with senior experience managing enterprise data programs, with certifications such as the Certified Data Management Professional credential helping candidates stand out in the Florida market.
Which companies hire director of data governances in Florida?
Employers hiring director of data governances in Florida right now include Fintech, BNY, and MUFG, based on current listings on Migrate Mate as of September 2026. Florida's concentration of large financial institutions, health systems, and state government agencies makes it one of the more active markets for senior data governance leadership in the Southeast.
Which Florida cities have the most director of data governance jobs?
Doral, Tampa, and Jacksonville have the most director of data governance openings in Florida. Miami leads due to its dense cluster of multinational banks and insurance carriers, Tampa draws hiring from health systems and financial services firms headquartered there, and Jacksonville's large logistics, financial, and defense contractor base generates consistent demand for senior data leadership roles.
Are there remote director of data governance jobs in Florida?
Yes, and more than most fields. Data governance is fundamentally a policy, strategy, and stakeholder-alignment function, making it well suited to remote and hybrid arrangements. About 25% of director of data governance openings tied to Florida are remote or hybrid as of September 2026, reflecting how broadly employers have accepted distributed leadership for this role. The parts of the work most commonly done remotely include framework development, policy documentation, and cross-departmental governance meetings.
How can I get hired as a director of data governance in Florida with little or no experience?
The most realistic entry path is moving into a data analyst, data steward, or data quality manager role at a large Florida employer such as a major health system or financial institution, then building governance experience from within. Florida's state agencies and university systems frequently hire data coordinators and information managers who can grow into governance leadership over time. Earning the Certified Data Management Professional credential and building a portfolio of governance policies or data catalog projects gives candidates without a traditional director background a credible path forward.
Where can I find and apply to director of data governance jobs in Florida?
You can find and apply to director of data governance jobs in Florida on Migrate Mate, which lists current openings across the state. Search the roles available, find the ones that fit your background and target market, and apply directly to the positions that match your experience level and industry focus.
See All 14 Director Of Data Governance Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
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