IT Manager (Data Systems)

Role overview

Data platforms and operations

• Own EDW and Microsoft Fabric architecture, development, documentation, and modernization; establish scalable data ingestion, transformation, storage, and consumption patterns.
• Design, build, monitor, troubleshoot, and optimize ETL/ELT pipelines; implement data-quality controls, logging, alerting, and recoverability.
• Administer supported databases, including security, access, performance, capacity, backup/recovery coordination, patching coordination, scheduling, and production support.
• Lead secure integrations with enterprise applications, identity platforms, Microsoft 365, and vendors.
• Own SharePoint Online architecture, administration, governance, security, integrations, custom solutions, and lifecycle management.
• Build and support Nintex workflows and forms; support Power BI platform governance and operational performance.
• Evaluate governed AI use cases; implement platform security, access controls, auditability, retention, and data protection.
• Establish monitoring, documentation, support procedures, disaster-recovery readiness, incident response, and root-cause analysis.
• Develop roadmaps, manage vendors, assess designs, and communicate risks and business impact.

Minimum qualifications

• Bachelor’s degree in a related technical field or equivalent relevant experience.
• 7+ years of progressive experience across data engineering, data warehousing, database administration, enterprise integrations, SharePoint, or related platforms.
• At least 2 years in a supervisory, technical-lead, or player-coach role.
• Production experience designing and supporting data pipelines, data warehouses, databases, and integrations.
• Experience with Microsoft 365, SharePoint Online, SQL-based platforms, and Azure or Microsoft Fabric technologies.
• Experience implementing platform security, access governance, operational controls, documentation, monitoring, and support standards.
• Experience using or implementing AI-enabled technology and evaluating use cases, limitations, data requirements, and governance.

Technical skills and capabilities

• Strong data architecture knowledge, including dimensional modeling, warehousing, lakehouse concepts, ETL/ELT, orchestration, metadata, lineage, and data quality.
• Advanced SQL and practical relational database administration, tuning, security, and support; Microsoft SQL Server and Azure SQL are preferred.
• Integration experience with APIs, file interfaces, identity integrations, connectors, authentication, scheduling, error handling, and monitoring.
• Deep SharePoint Online, ShareGate, Nintex Automation Cloud, and Microsoft 365 integration experience; Power Automate and Power Platform familiarity is desirable.
• Working knowledge of Power BI architecture, gateways, refresh, security, semantic models, performance, deployment, and governance.
• Practical familiarity with generative AI, copilots, RAG, intelligent document processing, or machine-learning-enabled automation.
• Ability to lead a technical team, set priorities, coach staff, collaborate across functions, communicate clearly, and diagnose complex data or system failures.

Preferred qualifications

• Experience with distribution-focused ERP, Workday, Microsoft Entra ID/Active Directory, SugarCRM, Microsoft 365, and related enterprise applications.
• Experience with Microsoft Fabric, SQL Server, ShareGate, Nintex, Power Automate, Power BI governance, Copilot, Azure AI, AI Builder, RAG, or AI-enabled automation.
• Relevant Microsoft or Nintex certifications are desirable.
• Knowledge of wholesale distribution data and operations, including customers, products, inventory, pricing, orders, purchasing, finance, and delivery performance.

Success measures