Senior IT Manager – Enterprise Analytics, Data Platforms

• Lead, coach, and develop managers and technical teams across analytics, reporting, and data platform functions

• Set clear priorities, goals, and performance expectations aligned to business outcomes

• Build strong cross-functional partnerships with business and technology leaders

• Lead delivery and support of enterprise analytics, business intelligence, reporting, and data platform solutions

• Drive analytics roadmaps, modernization initiatives, and scalable platform capabilities

• Ensure solutions are secure, reliable, well-governed, and aligned with enterprise architecture standards

• Establish best practices for data management, analytics delivery, reporting, and operational support

• Partner with business and technology customers to improve data accessibility, strengthen governance, and position data as a strategic asset

• Drive strategy, delivery, modernization, and operational excellence across analytics, data engineering, reporting, and AI-enabled capabilities

• Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related field, or equivalent work experience
• 8+ years of experience in analytics, business intelligence, data engineering, enterprise data platforms, or related technology disciplines
• 3+ years of leadership experience managing managers, technical teams, or cross-functional organizations
• Demonstrated success delivering enterprise-scale analytics, reporting, and data platform solutions
• Ability to build strong business partnerships, influence stakeholders, and lead sophisticated initiatives in a fast-paced environment
• Good communication, organization, and leadership skills
• Solid experience with Databricks, including data engineering, analytics, orchestration, and platform management
• Experience with Microsoft analytics and data technologies, including Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Power BI, Synapse Analytics, and Azure AI services
• Good understanding of data warehousing, data lakes, semantic modeling, and modern analytics architectures
• Experience with enterprise reporting, self-service analytics, and cloud-based analytics platforms
• Knowledge of data governance, data quality, security, compliance, and master data management practices
• Preferred: experience leading enterprise analytics and data modernization initiatives
• Preferred: experience with artificial intelligence, machine learning, or Generative AI solutions
• Preferred: experience developing managers and high-performing technical teams
• Preferred: experience driving adoption of self-service analytics and data-driven decision making
• Preferred: experience managing technology budgets, vendor relationships, and platform investments

Demonstrates expertise in leading analytics and data platform initiatives, with a strong focus on enterprise-scale solutions, data governance, and cross-functional collaboration. Proven ability to drive modernization and operational excellence while building strategic partnerships and managing high-performing teams.

• Enterprise Analytics Leadership
• Data Engineering Expertise
• Microsoft Analytics Technologies
• Data Governance Knowledge
• Cross-Functional Collaboration

• Analytics
• Business Intelligence
• Data Engineering
• Data Platform Solutions
• Data Warehousing
• Data Lakes
• Semantic Modeling
• Self-Service Analytics
• Artificial Intelligence
• Machine Learning

• Leadership
• Communication
• Organization
• Influencing Stakeholders
• Building Partnerships

• Data Governance
• Data Quality
• Compliance
• Master Data Management
• Cloud-Based Analytics

• Databricks
• Microsoft Fabric
• Azure Databricks
• Azure Data Factory
• Azure Data Lake Storage
• Power BI
• Synapse Analytics
• Azure AI Services