Director, Enterprise Data Management and Analytics

OVERVIEW
We are seeking a strategic data and analytics leader responsible for designing, executing, and evolving the Enterprise Data Management and Analytics Program. This role oversees data governance, architecture, integration, data warehousing/lakehouse, and advanced analytics to enable business-led transformation and data-driven decision-making. Will partner closely with cross-functional leaders to foster innovation, deliver scalable cloud-based solutions, and embed data as a strategic enterprise asset.

CORE RESPONSIBILITIES

• Define and execute the enterprise data vision, strategy, and roadmap across data integration, governance, analytics, and information delivery.
• Lead and mentor data architects, engineers, and analytics professionals in building scalable, cloud-native solutions leveraging Azure, Databricks lakehouse platforms, and Azure Data Factory.
• Drive enterprise data architecture that balances short- and long-term business needs while ensuring scalability, performance, and security.
• Champion data governance and metadata management using platforms such as Microsoft Purview to ensure data quality, integrity, and compliance.
• Enable data-driven decision-making through Power BI dashboards, advanced reporting, and self-service analytics capabilities.
• Guide the application of advanced analytics and machine learning using Python, R, and Azure Machine Learning to uncover trends and actionable insights.
• Establish metrics and reporting to measure the effectiveness of data programs and identify continuous improvement opportunities.
• Lead innovation by monitoring emerging technologies (AI, cloud-native analytics) and fostering a culture of continuous learning.
• Provide executive-level oversight of budgets, vendors, delivery performance, and operational outcomes.
• Support regulatory, compliance, and records-management requirements as applicable.

REQUIRED SKILLS AND QUALIFICATIONS

• 10+ years of progressive experience in enterprise data, analytics, or information management roles.
• 6+ years in senior leadership overseeing data engineering, analytics, and cross-functional initiatives.
• Bachelor’s degree in Computer Science, Data Science, Analytics, Statistics, or related field.
• Deep expertise in:
  • Cloud Platforms: Microsoft Azure
  • Data Integration: Azure Data Factory
  • Data Warehouse/Lakehouse: Databricks
  • Data Governance: Microsoft Purview
  • Business Intelligence: Power BI
  • Advanced Analytics & ML: Python, R, Azure Machine Learning
• Strong executive communication skills with the ability to influence at all levels.
• Experience with Agile development methodologies preferred.
• Proven ability to build and sustain a high-performing, collaborative data organization serving as a center of excellence.
• Demonstrated success partnering with senior leaders and business stakeholders to translate strategy into actionable data solutions.
• Experience leading organizational change and enterprise data modernization initiatives.
• Strong track record of attracting, developing, and retaining top data and analytics talent.
• Consistent alignment with organizational values and strategic objectives.

LOCATION
Onsite: Topeka, Kansas