Uber
Sr. Technical Recruiter | ex-Amazon, Meta, VMware, Zillow
About the Role
Uber is home to one of the largest and most unique insurance programs in the world and insurance data lies at its foundation.
We're looking for an experienced manager to lead our critical insurance data infrastructure.
This will involve everything from designing new data models and improving existing data processes to expanding the scope of the data program to support Uber's ever-growing portfolio.
This team works cross‑functionally to ensure our data processes align with industry best practices and stakeholder needs.
What You Will Do
Manage a team of 3 to deliver projects on time with high quality
Design comprehensive quality checks to facilitate accurate analyses and to ensure Uber's insurance data meets compliance standards
Collaborate with data scientists and engineers to build and improve the availability, integrity, accuracy, and reliability of data logging and data pipelines
Collaborate with business leaders to manage project intake, roadmap, prioritize, and manage staffing against key initiatives
Partner with internal and external stakeholders, including actuaries, engineers, program managers, and data scientists to identify challenges and opportunities for insurance data models
Basic Qualifications
M.S. or Bachelor's degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
5+ years of relevant professional experience
Minimum 2 years of management experience
Proficiency with SQL, Python, big data frameworks (ex. Hadoop, Spark)
Proficiency in a scripting language (Python preferred)
Experience with Excel and some dashboarding/data visualization (ex. Tableau)
Preferred Qualifications
Basic understanding of insurance concepts and working with insurance loss data
Experience with an ETL framework like Airflow
Project management skills – ability to drive projects end‑to‑end
Job Details
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industries: Technology, Information and Internet, Insurance, and Data Infrastructure and Analytics
Benefits
Medical insurance
Vision insurance
401(k)
Child care support
Paid maternity leave
Paid paternity leave
#J-18808-Ljbffr
We're looking for an experienced manager to lead our critical insurance data infrastructure.
This will involve everything from designing new data models and improving existing data processes to expanding the scope of the data program to support Uber's ever-growing portfolio.
This team works cross‑functionally to ensure our data processes align with industry best practices and stakeholder needs.
What You Will Do
Manage a team of 3 to deliver projects on time with high quality
Design comprehensive quality checks to facilitate accurate analyses and to ensure Uber's insurance data meets compliance standards
Collaborate with data scientists and engineers to build and improve the availability, integrity, accuracy, and reliability of data logging and data pipelines
Collaborate with business leaders to manage project intake, roadmap, prioritize, and manage staffing against key initiatives
Partner with internal and external stakeholders, including actuaries, engineers, program managers, and data scientists to identify challenges and opportunities for insurance data models
Basic Qualifications
M.S. or Bachelor's degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
5+ years of relevant professional experience
Minimum 2 years of management experience
Proficiency with SQL, Python, big data frameworks (ex. Hadoop, Spark)
Proficiency in a scripting language (Python preferred)
Experience with Excel and some dashboarding/data visualization (ex. Tableau)
Preferred Qualifications
Basic understanding of insurance concepts and working with insurance loss data
Experience with an ETL framework like Airflow
Project management skills – ability to drive projects end‑to‑end
Job Details
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industries: Technology, Information and Internet, Insurance, and Data Infrastructure and Analytics
Benefits
Medical insurance
Vision insurance
401(k)
Child care support
Paid maternity leave
Paid paternity leave
#J-18808-Ljbffr