Have you ever found yourself or a loved one waiting hours and hours in a hospital Emergency Room to get care? Or have you ever had a surgery scheduled for months in the future that needed to happen sooner? Unfortunately, our healthcare system is full of these types of operational problems. Our work saves lives and helps hospitals cut tens of millions of dollars in operational costs, while improving the quality of care they’re able to deliver.
Qventus is a real-time decision making platform for hospital operations. Our mission is to simplify how healthcare operates, so that hospitals and caregivers can focus on delivering the best possible care to patients. We use artificial intelligence and machine learning to create products that help nurses, doctors, and hospital staff anticipate issues and make operational decisions proactively.
Qventus works with leading public, academic and community hospitals across the United States. The company was recognized by the 2019 Black Book Awards in healthcare for patient flow and by CB Insights as a 2019 top 100 Most Promising Company in Artificial Intelligence. Recently, Qventus won the Robert Wood Johnson Foundation Emergency Response for the Healthcare System Innovation Challenge through its work helping health systems across the country plan for and operate in the COVID pandemic.
Qventus is looking for a Engineering Manager to lead, scale, and expand our Perioperative Solution. The Data Platform team acts as stewards for Qventus’ data. We stream hospital EMR to our core warehouses in real time, build out curated data layers to power our Healthcare AI, design and build patterns to ensure the security of patient (HIPAA) data and overall ensure Qventus data users have the tools they need to explore and power the Qventus product at scale and cost to improve the lives of patients and doctors across the country.
As a Data Platform Manager, you will lead a dynamic team of data and platform engineers, to build and maintain a secure, reliable data platform that empowers innovation and delivery of impactful data driven products. You will be comfortable driving strategic projects to completion from requirements to design to execution and delivery with strong partnerships across engineering, analytics, and product. You have a keen eye for communicating tradeoffs between stability and delivery speed to drive long term strategic success of our architecture. You will be motivated and excited to mentor and lead an impactful team and drive impact to the company the improvement of healthcare operations.
Drive strategic execution of cross-functional and technical initiatives from ideation to requirements definition to planning, execution, and delivery.
Stay abreast of industry trends and advances in data technologies and platforms, driving the adoption of relevant innovations to maintain a cutting-edge data environment.
Tactically support development against team deliverables (expect at least 30% IC workload)
Collaborate with Product, Delivery, and Engineering to design, implement, and manage systems that scale with our growth
Manage and mentor a team of data engineers and platform engineers, fostering an environment of technical excellence, innovation, and continuous learning.
Strong data modeling expertise with practical experience working closely with data science and analytics partners to design schema and pipelines
2+ years hiring, managing, and growing global remote data engineering teams in fast-paced startup environments
3+ years hands on data modeling and transformation pipeline design with understanding of modern data modeling and transformation pipeline technologies (DBT, Snowflake, AWS preferred)
Demonstrated ability to lead architectural discussion and balance short and long term tradeoffs to arrive at optimal solutions for the organization
Excellent project management skills to drive complex cross-functional initiatives to completion and keep stakeholders in the loop on status and outcomes
Dedication to mentoring and coaching to help mature our technical team
Nice to Have Skills
Defined philosophy on software development and operational excellence - clean code, release management / CICD etc.
Experience with Lakehouse architecture (Databricks or AWS)
Practical hands on experience with: building large-scale, high complexity metrics and monitoring (ELK. Kibana, Datadog; data visualization tools (Tableau, Looker preferred); data science and machine learning pipelines (Sagemaker, NLP, Tensorflow)
Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent training / experience
We consider several factors when determining compensation, including location, experience, and other job-related factors.
Salary Range: $180,000 to $200,000 annually + equity + benefits- Qventus expects to hire for this position near the middle of the range. Only in truly rare or exceptional circumstances where a candidate's experience, credentials, or expertise far exceed those required or expected will we consider and offer at the top of the salary range.
Qventus offers a competitive benefits package including medical, dental, vision, paid time off, company holidays, and a stock option plan.
Qventus is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Candidate information will be treated in accordance with our candidate privacy notice which can be found here:https://qventus.com/ccpa-privacy-notice/
This position does not provide visa sponsorship.
Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.