IT Manager – Enterprise Data & Analytics

Overview

Job Title: IT Manager – Enterprise Data & Analytics

Location: 5000 Kansas Avenue Kansas City, KS 66106

Work Model: Hybrid

Department: Enterprise Data & Analytics

The IT Manager – Enterprise Data & Analytics provides leadership and direction for enterprise-wide analytics solutions that enable business decision-making, operational excellence, and strategic transformation across AWG. This role is highly business stakeholder-facing and balances long-term enterprise analytics platform modernization with high-urgency, ad hoc analytical needs that drive immediate business outcomes. The leader partners closely with business executives (C-Level and officers) and functional leaders to translate business priorities into scalable, reliable, and actionable analytics solutions.

The role requires a strong understanding of the end-to-end data management lifecycle, modern cloud-based data platforms, and the ability to direct teams with urgency, clarity, and accountability.

Enterprise Analytics Strategy & Modernization (15%)

• Partner with senior business stakeholders to define and evolve the enterprise analytics vision and roadmap
• Lead modernization of enterprise data platforms using cloud technologies (Azure), including scalable architecture and standardized frameworks
• Drive legacy data warehouse and analytics decommissioning aligned to future-state architecture
• Promote adoption of advanced analytics, including predictive, prescriptive, and AI-enabled insights
• Establish and maintain enterprise standards for Power BI, including data modeling, performance, and visualization best practices
• Advocate for analytics-driven decision-making, operational efficiency, and cost optimization

Solution Delivery & Execution (30%)

• Prioritize analytics initiatives aligned to enterprise strategy and business impact
• Balance ad hoc analytical needs with long-term platform development
• Partner with Data Architecture and Engineering teams to deliver scalable, enterprise-grade solutions
• Ensure solutions are secure, high-quality, and delivered on time and within budget
• Evaluate tools and technologies for scalability, supportability, and cost efficiency
• Manage vendor relationships and ensure accountability for delivery and service levels

Operational Excellence & Service Management (30%)

• Ensure stability, availability, and performance of analytics platforms and solutions
• Lead change and release management processes to minimize business risk
• Define and monitor SLAs, system health metrics, and performance standards
• Gather and act on stakeholder feedback to improve service quality and delivery
• Enforce best practices, documentation standards, and consistency across the team

Financial & People Leadership (25%)

• Lead, coach, and develop a high-performing analytics team
• Drive performance management, accountability, and continuous improvement
• Support budgeting, forecasting, and cost management activities
• Monitor spend and manage against budget expectations
• Build a culture of ownership, urgency, and results-driven execution

Management & Leadership Expectations

• Provide clear direction, coaching, and career development for team members
• Delegate effectively while maintaining accountability for outcomes
• Lead through ambiguity and drive alignment across stakeholders
• Foster strong collaboration, communication, and stakeholder engagement

Education & Experience

• Bachelor’s degree in MIS, Computer Science, or related field (or equivalent experience)
• 10+ years of experience in enterprise data management and analytics
• 7+ years of leadership experience managing technical or analytics teams
• Experience in retail, wholesale, or CPG environments preferred

• Strong understanding of the end-to-end data lifecycle: ingestion, modeling, governance, analytics, and consumption
• Experience with modern data platforms and tools, including:
• Azure Data Factory, Databricks, Synapse Analytics, Data Lake / Delta Lake
• CI/CD, Dev Ops, Infrastructure as Code (e.g., Terraform)
• Python / PySpark / notebook-based development
• Power BI or Tableau for enterprise analytics
• Experience with data governance, data quality frameworks, and access control…