Data and AI Governance Architect

Suddath; Jacksonville (FL); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

401(k) with company matching

Weekly pay for hourly employees

PTO & company holidays

Tuition reimbursement

Job summary

Suddath is seeking an experienced Data Governance & AI Readiness Architect to lead the Enterprise Data team and drive governance, data quality, and AI-ready data operations within the Innovation group.

The role partners with cybersecurity, legal, and business leaders to ensure trusted data assets, while advancing Fabric-enabled platforms and DataOps across the enterprise.

Qualifications

• Bachelor’s Degree in a relevant field
• 6+ years of data experience with leadership
• 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

Responsibilities

• Establish and operationalize enterprise data standards and governance
• Define readiness criteria for analytics, automation, and AI- readiness
• Guide Microsoft Fabric modernization and governance
• Apply AI/automation to DataOps and pipeline Monitoring
• Manage Enterprise Data team and engagements with Microsoft and partners

Skills

Leadership

Data governance

AI readiness

Communication

Project management

Team collaboration

Data strategy

Stakeholder management

Education

Bachelor’s Degree in Computer Science / Information Systems

Tools

Microsoft Fabric

Power BI

Azure data platforms

DataOps

Job description

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.