Director | Enterprise Analytics
Indexed description
Director | Enterprise Analytics
- Department: Enterprise Analytics and Data Science
- Reports to: Vice President, Enterprise Analytics and Data Science
- Location: Hybrid - Candidates must reside in WI, MI, MN, or IA to be considered.
- Please note: Immigration sponsorship (e.g., H-1B) is not available for this position.
Major Responsibilities
- Lead the development and execution of data analytics strategies to generate actionable insights supporting business goals.
- Establish and maintain a robust data governance framework ensuring data quality, security, and regulatory compliance.
- Collaborate with IT, compliance, and business units to foster a data-driven culture and align governance practices.
- Develop and deliver data literacy training programs to empower employees in effective data use.
- Define, monitor, and report on KPIs to evaluate the success of data initiatives and governance efforts.
- Communicate data insights and governance strategies clearly to stakeholders for informed decision-making.
- Build and manage a skilled team of data analysts and governance experts, promoting innovation and collaboration.
Required Experience
- 5 years of direct leadership experience in applications management, development, or systems management with evidence of increasing responsibility.
- Extensive experience with a variety of analytical toolsets, database platforms, relational database structures, data governance and ETL processes.
- Direct implementation and maintenance of data architecture and scalable self-service data and reporting functions
- Proven experience in overseeing the direction, development and implementation of data governance, validation, and visualization.
- Progressively responsible experience which includes leadership/supervision and in-depth experience with data management, report development and data analysis. Incorporates visualizations, statistical analysis, and data science techniques into dashboards, advanced analytics, and complex delivery models.
- Experience with business intelligence tools such as Tableau, PowerBI, Qlik, or other enterprise analytics platforms
- Experience with Healthcare Analytics, Machine Learning, predictive modeling, and Artificial/Augmented Intelligence
- Cogito Suite, Caboodle, Clarity
- Hybrid deployments (on premises, Cloud)
- Data Lake Platforms such as snowflake, Denodo, or Dremio
- Opportunity to shape data strategy in a growing organization.
- Collaborative and innovative work environment.
- Competitive salary and benefits package.
- Commitment to professional development and continuous learning.
We inspire your best life by relentlessly caring, learning and innovating. This is our purpose. Together with our values — belonging, respect, excellence, accountability, teamwork and humility — our pillars set our foundation and our future.
Equal Opportunity Employer
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