CSS Staffing
Director, Enterprise Data Management and Analytics
500 SW Wanamaker Rd Topeka, KS 66606 US
Employment Type: Permanent
Job Description
OVERVIEWWe 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.
- 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.
Onsite: Topeka, Kansas #J-18808-Ljbffr