Senior Director, Enterprise BI & Analytics

Tfhd; Reno, Northern (NV, KY); Hybrid; USD 116,000 - 142,000; Full time

Job summary

Tfhd in Reno, NV seeks a Manager of Business Intelligence to lead enterprise dashboards, reports, and analytics products. You will connect clinical, operational, financial, quality, and executive stakeholders with technical teams to translate needs into standardized, actionable information.

You will oversee BI standards, reporting governance, data quality, and adoption of self-service analytics, while supervising BI analysts and developers to build scalable solutions.

Qualifications

• Bachelor's degree in analytics, BI, information systems, healthcare administration, finance, or related field.
• Five or more years of BI, reporting, analytics, or decision-support experience.
• Previous supervisory or team-lead experience.

Responsibilities

• Lead development and delivery of enterprise dashboards, reports, scorecards, metrics, and analytics products.
• Own BI reporting standards, design principles, usability standards, and lifecycle management.
• Gather requirements from clinical, operational, financial, and executive stakeholders.
• Translate requirements into dashboards, reports, and metrics with technical specs.
• Establish data-quality processes and reporting governance.
• Lead adoption and training of self-service analytics across the organization.

Skills

Strong communication

Supervisory / leadership

Project leadership

Education

Bachelor's Degree in analytics, BI, information systems, healthcare administration, finance, or related field

Tools

Power BI

SQL

Epic

Microsoft Fabric

Axiom

Premier

Job description

Tfhd in Reno, NV seeks a Manager of Business Intelligence to lead enterprise dashboards, reports, and analytics products. You will connect clinical, operational, financial, quality, and executive stakeholders with technical teams to translate needs into standardized, actionable information.

You will oversee BI standards, reporting governance, data quality, and adoption of self-service analytics, while supervising BI analysts and developers to build scalable solutions.