Director of Enterprise Data and Information Architecture

Job Description

Job Description

Work Now Staffing is looking to hire an Director of Enterprise Data and Information Architecture for our Orlando, FL client.

Applicants must be authorized to work in the United States for any employer. Neither the staffing agency nor the client will provide employment-visa sponsorship or support a change-of-employer petition for this position, now or in the future.

Pay: $180,000 per year 

Job Details:

• Lead enterprise data architecture, governance, business intelligence, and information management initiatives across multiple departments

• Oversee a six-person team supporting Capital Markets, Asset Management, Operations, HR, Construction, and Development

• Establish and maintain enterprise data governance standards, data ownership policies, and master data management programs

• Develop and maintain a centralized data dictionary to ensure consistent definitions and usage across departments

• Define and enforce semantic model standards to support accurate reporting, analytics, and AI-powered natural language querying

• Administer Microsoft Fabric capacity and tenant settings, ensuring performance, scalability, security, and governed access

• Oversee data migration initiatives, including replacing paid data movement services with in-house processes

• Lead efforts to retire higher-cost database systems and eliminate redundant data copies

• Oversee integrations with property management systems, expense platforms, and HRIS systems

• Establish standardized data architecture practices to ensure information is modeled once and used consistently across the organization

• Lead SharePoint information architecture initiatives, including site structure, metadata, permissions, security groups, and retention policies

• Oversee SharePoint administration within Microsoft 365 in collaboration with IT

• Ensure SharePoint document and records management aligns with the company's long-term Alinos platform strategy

• Establish clear data ownership and accountability across departments

• Ensure all completed projects include documentation and an assigned business owner

• Provide technical leadership, mentorship, and guidance to data engineering and analytics team members

• Maintain a hands-on approach to Microsoft Fabric, semantic modeling, and enterprise data architecture

• Establish scalable governance processes that remain effective as the organization grows

Requirements:

• 8+ years of experience in data architecture, data governance, or business intelligence

• Previous experience leading and managing a technical team

• Proven experience developing and implementing a data governance or master data management program within a multi-entity organization

• Demonstrated ability to establish sustainable governance processes that operate independently of their original creator

• Hands-on experience administering Microsoft Fabric capacity and tenant settings beyond the workspace level

• Strong understanding of semantic modeling, data definitions, and natural language querying accuracy

• Ability to identify and resolve discrepancies between traditional reporting results and AI-generated responses

• Experience establishing and enforcing enterprise data ownership standards across departments

• Proven ability to work with department leadership to implement and maintain data governance policies

• Experience managing SharePoint information architecture, including site structure, permissions, security groups, metadata, and retention

• Experience administering SharePoint within Microsoft 365 in collaboration with IT

• Strong understanding of enterprise data integration, architecture, and governance best practices

• Ability to balance strategic leadership responsibilities with hands-on technical involvement

Preferred Qualifications:

• Advanced hands-on Microsoft Fabric experience

• Strong technical experience building and maintaining semantic models

• Experience establishing technical standards for data engineering and analytics teams

• Experience supporting AI-powered analytics and natural language querying against governed semantic models

• Experience with enterprise data migrations and database consolidation

• Experience integrating data across property management, financial, HRIS, and operational systems

• Experience supporting enterprise information architecture and document management transformation initiatives