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IT Manager - Enterprise Data & Analytics
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IT Manager - Enterprise Data & Analytics
- Kansas City, Missouri, United States
- Kansas City, Missouri, United States
Über
Location: 5000 Kansas Avenue Kansas City, KS 66106
Work Model: Hybrid
Department: Enterprise Data & Analytics
Responsibilities 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.
Key Responsibilities 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
Qualifications 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
Technical & Domain Expertise
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, DevOps, 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 models
Familiarity with AI/ML-enabled analytics and real-time data architectures
Understanding of lakehouse architecture and enterprise semantic modeling
Leadership & Professional Competencies
Strong executive presence with the ability to translate analytics into business outcomes
Proven ability to balance strategic initiatives with urgent business needs
Excellent communication, storytelling, and stakeholder management skills
Data-driven, outcomes-oriented mindset
Ability to navigate ambiguity, prioritize effectively, and drive execution
Consulting or analytics transformation experience preferred
Working Environment
Standard office / hybrid work environment
Collaboration across business and IT functions
Occasional extended hours aligned to project delivery needs
Core Job Competencies
Enterprise Analytics Leadership – Drives strategy and execution of scalable analytics solutions
Business Partnership – Aligns analytics capabilities with business priorities and outcomes
Technical Acumen – Applies deep expertise in modern data platforms and architectures
Execution & Delivery – Ensures consistent, high-quality solution delivery
People Leadership – Builds and develops high-performing teams
Strategic Thinking – Balances long-term transformation with immediate business needs
Communication & Influence – Engages and aligns stakeholders at all levels
Benefits
Medical, Dental, & Vision Insurance
Health Savings Account
Dependent Care Flexible Spending Account
Paid Vacation, Holiday, and Sick Time
401(k) with 4% match along with 3 other contributions
Tuition Reimbursement
Basic & Supplemental Life and AD&D
Employee Assistance Program
Short-Term and Long-Term Disability
Wellness Program
Yearly Holiday Bonus
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Sprachkenntnisse
- English
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