Senior Analytics & Data Science Leader

Jobtailor; Phoenix (AZ); On-site; USD 150,000 - 190,000; Full time

Job summary

Jobtailor seeks a Senior Manager to lead the Analytics & Data Science department in Arizona. You will guide the team, transform data into actionable insights for customer segments, and support healthcare programs and partnerships.

Responsibilities include directing analytics initiatives, building dashboards, coordinating with internal departments, and presenting findings to executives. A strong background in data science, leadership, and HR compliance is required.

Qualifications

• Senior Manager level with 10+ years in data science, analytics or scientific analysis.
• 7+ years in a management role.
• Bachelor's degree in business, mathematics, statistics, healthcare administration, or related field.
• Advanced knowledge of HRIS systems, employment law, and HR regulations.

Responsibilities

• Manage day-to-day activities and operations of the Analytics & Data Science department.
• Serve as the primary contact and resource for staff.
• Provide oversight, direction, development, problem resolution, and leadership for the Analytics & Data Science team.
• Transform data into meaningful and actionable information for customer segments.
• Perform strategic data analysis supporting medical management programs, quality and value-based partnerships, and provider reimbursement strategy.

Skills

Staff management

Analytical skills

Leadership

Strategic data analysis

Project management

Education

Bachelor's degree in business/math/stats/healthcare

Tools

Business intelligence software

HRIS systems

Database querying

Job description

Jobtailor seeks a Senior Manager to lead the Analytics & Data Science department in Arizona. You will guide the team, transform data into actionable insights for customer segments, and support healthcare programs and partnerships.

Responsibilities include directing analytics initiatives, building dashboards, coordinating with internal departments, and presenting findings to executives. A strong background in data science, leadership, and HR compliance is required.