Senior Director – Operations
| Company | Tempus |
|---|---|
| Location | Chicago, IL, USA, New York, NY, USA |
| Salary | $150000 – $210000 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- Expertise in operations management
- Data-driven decision-making
- Stakeholder engagement
- Understanding of data infrastructure, including data warehouses and Looker
Responsibilities
- Lead a production team of 100+ employees, fostering a performance-driven culture centered on accountability and continuous improvement.
- Lead change management initiatives to enhance operational readiness, efficiency, and effectiveness.
- Manage and mentor a high-performing, data-driven operations team.
- Establish and reinforce KPIs to drive team effectiveness and operational excellence.
- Develop and coach managers at all levels (Director, Sr. Manager, and Manager) to build leadership capabilities and talent development.
- Drive monthly, quarterly, and annual planning, including long-term strategic initiatives, vendor negotiations, and resource allocation.
- Drive the innovation and implementation of new AI-based processes and workflows to increase efficiency and scalability.
- Oversee the development of the team’s growth framework for all levels of the organization and manage end-to-end performance and compensation cycles.
- Develop and implement strategies to enhance the efficiency and scalability of curated data processes.
- Utilize data-driven insights to guide strategic decision-making and operational improvements.
- Partner with executive leadership to define, track, and optimize key performance indicators (KPIs) and business metrics.
- Identify and implement process enhancements to increase productivity and standardize organizational best practices.
- Understand data infrastructure, including data warehouses and Looker, guiding effective data management and reporting.
- Partner with executive leadership and key stakeholders to align operational strategies with business objectives.
- Act as a consultant to internal teams, leveraging curated data to support team needs and operational goals.
- Support compensation planning and incentive programs to drive team performance.
- Collaborate with product and engineering teams to implement tools and technologies that enhance productivity and data quality.
Preferred Qualifications
-
No preferred qualifications provided.