Customer & Strategy Operations Associate

Tempus AI•Chicago, IL

1d•$80,000 - $110,000

About The Position

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. As a Customer & Strategy Operations Associate, you will serve as the analytical backbone of the Customer Success (CS) organization. While the Senior Manager focuses on high-level strategy and team development, you will focus on the tactical execution of data analysis and reporting infrastructure. You will be responsible for validating data integrity, building foundational dashboards, and uncovering the "why" behind performance trends. This role requires a self-directed individual who can thrive in an unstructured environment and translate complex data into clear narratives for executive leadership.

Requirements

Education: Bachelor's degree in Engineering, Science, or a related field.
Experience: 2-3 years of experience in a data analyst or strategy associate role.
Experience building and deploying agents to automate manual tasks.
Data Manipulation: Advanced proficiency in Excel and Google Sheets (pivot tables, VLOOKUPs, complex formulas) is required.
Querying: Strong SQL skills are required for data extraction and analysis.
Visualization: Experience creating presentations in PowerPoint and Google Slides is required.
CRM: Experience with Salesforce (SFDC) is highly preferred.
Analytical Rigor: Exceptional analytical capabilities with the ability to interpret data and identify trends.
Adaptability: Ability to thrive in an ambiguous, fast-paced environment and manage projects from inception to completion.
Communication: Excellent communication skills with the ability to tailor technical information to non-technical senior leadership.

Nice To Haves

Industry: Healthcare experience is a plus, specifically within the oncology or life science space.
Experience with Looker or Tableau is strongly preferred.

Responsibilities

Data Management & Reporting Infrastructure
KPI Identification: Collaborate with leadership to identify, define, and standardize key performance indicators (KPIs) that measure the health and effectiveness of the Customer Success organization.
Dashboard Development: Design, build, and maintain foundational reporting dashboards using Looker , Excel, and Google Sheets to monitor customer success and experience metrics.
Data Integrity: Continuously monitor data systems for errors or updates, serving as the primary validator of metric data to ensure accuracy in reporting.
System Maintenance: Work with Salesforce (SFDC) and internal databases to ensure data hygiene and proper tracking mechanisms are in place.
Analysis & Strategy Support
Root Cause Analysis: Analyze issues to identify root causes and specific improvement opportunities within the CS organization, supporting the wider team’s use of data-driven solutions.
Operational Insights: Interpret intricate data to derive actionable insights that drive operational efficiency and scalability.
Strategic Recommendations: Assist the Senior Manager in recommending strategic insights based on thorough data analysis.
AI Strategy & Agent Development
Opportunity Identification: Proactively audit the Customer Success ecosystem to identify high-impact opportunities where AI agents can automate workflows, reduce manual overhead, and enhance the customer experience.
Tempus One Collaboration: Serve as a CS liaison to the Tempus One agent building teams, translating operational needs into technical requirements for agent development.
Cross-Functional Testing: Lead the design and execution of internal pilot programs, collaborating cross-functionally to test agent efficacy, refine logic, and ensure high-quality outputs before broader rollout.
Lifecycle Management: Build and manage comprehensive project plans covering the end-to-end lifecycle of AI agents, including initial release, performance monitoring, and long-term maintenance.
Communication & Collaboration
Cross-Functional Ideation: Lead meetings with internal stakeholders—including Lab, Business Intelligence (BI), Commercial Systems, HR, and Legal—to cross-functionally ideate on strategies for improving organizational KPIs.
Executive Presentation: Craft high-impact presentations (PPT/Google Slides) for executive-level leadership that visualize the status of CS metrics and strategic initiatives.
Cross-Functional Alignment: Collaborate with Business Intelligence and Engineering teams to troubleshoot data discrepancies and ensure cohesive project execution.