We automate operations for hospitals and health systems
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 Data Modeling Lead / Architect to lead the next generation of our data ecosystem. Our Data team ensures that Qventus data users have the tools and data they need to explore and power the Qventus product at scale and cost. This includes bidirectional integration with hospital EMR sources via multiple channels (FHIR), complex highly secure (HIPAA) transformations capable of normalizing information across various workflows and client nuances, integration with multiple third party datasets from customer data to big-data claims, and more. Our products span the machine learning based orchestrations, real time hospital reporting, analytical insights, and interactive applications needed to improve the lives of patients and doctors across the country.
As a Data Modeling Lead / Architect, you will oversee and lead conceptualizing, designing, and implementing the logical data systems and structures that drive our business intelligence and decision-making. You will be comfortable acting as the bridge between our clients, business needs, and data ecosystem, turning strategic requirements into efficient and effective data models and mentoring data engineers to effectively continue data development. You will be motivated and excited to have an impact on the team and in the company and to improve the quality of healthcare operations.
Create and manage conceptual, logical, and physical data models that accurately reflect the data structures, relationships, and rules of the organization's business needs and healthcare operating space
Work with a variety of stakeholders, including data analysts, data engineers, integration specialists, application developers, and business leaders to optimize the data model and strategy for the organizations needs
Establish & enforce processes, tooling, and best practices for effective data governance
Create & manage comprehensive documentation of data models and their associated metadata to enable clear understanding and expanded self-service data usage (incl. data catalogs and dictionaries)
Facilitate the growth and development of senior data partners by actively providing hands-on modeling guidance and fostering a collaborative work environment.
Strong strategic problem-solving abilities and analytical skills to understand complex business requirements and translate them into effective data models (Expertise in healthcare data relationships and workflows with hands on understanding of EHR data structures and management required)
Ability to implement design patterns that create consistent accurate internal models while accommodating variances in conceptual and physical ingested data models in an enterprise client setting
Proficiency in data modeling principles and methods with a demonstrated understanding of the available landscape of tooling for data cataloging and transparency (Alation, Collibra, Glue etc.)
Experience developing and managing effective data governance programs
Excellent presentation, communication, and organizational skills to a wide variety of audiences
Experience with modern cloud platforms (AWS, GCP)
2+ years of hands on experience in SQL development
Nice to Have Skills
Interest in coaching and mentoring to increase the data modeling capabilities of the organization
Experience and perspective on data visualization tools and metric libraries and management
Experience with modern data architecture designs (Lakehouse, Data Mesh etc.)
Hands on experience in analytics and/or data science development
Degree in Computer Science, Engineering, or related field
We consider several factors when determining compensation, including location, experience, and other job-related factors.
Salary Range: $178,000 to $190,000 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:<u>https://qventus.com/ccpa-privacy-notice/</u>
This position does not provide visa sponsorship.
Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.
We are a team of technologists, software engineers, doctors, nurses, and lean healthcare experts with on-the-ground experience solving operational challenges in clinical environments. Qventus helps hospitals like Stanford/Mayo Clinic/Emory/New York Presbyterian reduce wait time for patients, prevent patient falls, and generally helps hospitals deliver a better and safer experience for patients, resulting in reduced injuries, loss of life, and financial waste.
We're making a big difference. Qventus has meaningfully affected patient experiences and outcomes for almost 4 million patients across the united states. Our platform works with hospital data to predict negative outcomes for patients and associated potentially disastrous situations that are likely to occur, then applies our system of action to reach the right doctors and nurses, at the right time, telling them where to go to stop these events before they happen. Think Minority Report applied to hospitals.
Our founding team has done this before. Two of our three founders worked in consulting for over a decade solving efficiency problems in hospitals. They know hospitals, where they've been, where they want to go, and how to work within them to drive the necessary mind shift and change management we need to drive this new wave of technology.
Our team is top notch! We have the fortune of having amazing engineerings and data scientists from top schools (Stanford, MIT, Cal, etc.) applying the latest in artificial intelligence and machine learning to create products that help healthcare organizations around the world and their people adapt in the moment and make the right decisions from the most complex data. Furthermore, we employ several practicing clinicians (practicing surgeons, doctors, nurses) in the company to help us understand the hospital environment. We take what we do very seriously.