Senior Field Operations Leader, Sales Analytics & Strategy

Tempus; Chicago (IL); Hybrid; USD 125,000 - 155,000; Full time

Job summary

Tempus, based in Chicago, seeks a Senior Manager, Field Operations to lead change and drive field strategy through analytics, compensation design, and territory optimization. You will manage a high-performing team and partner with commercial leadership to align sales planning with company objectives.

The role requires a strong background in analytics, CRM systems, and data storytelling, with experience guiding field teams and implementing data-driven decisions in a life sciences context.

Qualifications

• 8+ years in business analytics or related field in the life sciences industry.
• 5+ years direct people management experience.
• Bachelor's degree in a quantitative field; MBA desirable.
• Proven ability to translate complex analyses into executive-level presentations (data storytelling).

Responsibilities

• Lead tracking, analysis, and reporting of sales results and KPIs.
• Develop and manage sales effectiveness reporting to guide field performance.
• Leverage AI tools and data insights to identify growth opportunities.
• Design, administer, and oversee payouts for complex sales compensation plans.
• Build and manage sales territories to optimize market coverage.
• Oversee CRM support team and ensure alignment with commercial objectives.
• Act as strategic partner to commercial leadership on role design and headcount.

Skills

Data storytelling

Stakeholder management

Leadership

Process modeling

Problem-solving

Change management

Education

Bachelor's degree in quantitative or related field

MBA desirable

Tools

SQL

Tableau

Power BI

Salesforce

Alteryx

Python

Google Workspace

MS Excel

Job description

Tempus, based in Chicago, seeks a Senior Manager, Field Operations to lead change and drive field strategy through analytics, compensation design, and territory optimization. You will manage a high-performing team and partner with commercial leadership to align sales planning with company objectives.

The role requires a strong background in analytics, CRM systems, and data storytelling, with experience guiding field teams and implementing data-driven decisions in a life sciences context.