On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise.
Our success in rapid scale across the globe is backed by some of the world’s leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations.
About the role:
Qventus is looking for a driven and innovative leader to curate and architect our growing data assets as we build out our proprietary Qventus Unified Data Model, metrics, and other solution data marts. The Data Team at Qventus transforms raw data into actionable insights and scalable solutions through platform architecture, machine learning, and solution-specific pipelines. Focused on both strategy and execution, the team ensures data infrastructure and models are robust, reliable, and aligned with organizational and customer needs. This is a hands-on role that does not have direct reports, but focuses on the management of strategic data assets and translating product vision into executable data products, providing the unique opportunity to influence both foundational data strategies and product-specific implementations.
You will work directly with the Senior Director of data to support and lead the rapid growth and development of our solution data marts and manage new data assets through the data lifecycle. You will cultivate a deep understanding of our data and solutions, enabling you to translate product asks ranging from complex analytical metrics to nuanced solution concepts into highly trusted and clear developer requirements and documentation. You will work across integrations, data modeling experts, and solution data engineering teams to drive the rapid incorporation of new data assets through acquisition, investigation, and incorporation into our Unified data model based on company needs & vision providing clear understanding of current & projected data availability.
You will support data engineering managers and leads in maintaining efficiently organized and well documented solution marts, assisting as needed in architectural discussions and tactical improvements. You will be data curious, highly organized, and excited to have an impact on the team and in the company and to improve the quality of healthcare operations.
Key Responsibilities:
- Translate product asks ranging from complex analytical metrics to new application functionality into clear data definitions and requirements in partnership with data engineering leads and managers
- Coordinate and manage the acquisition, assessment, & integration of new datasets, collaborating closely with data experts & our data modeling lead to unpack the data and relevance to our core products and domain
- Assist in the design and optimization of documentation and knowledge-sharing processes for data marts, ensuring transparency and accessibility for both technical and non-technical stakeholders.
- Provide hands-on support for core data initiatives as needed, including reviewing code, writing scripts, or contributing to technical tasks to ensure successful delivery of high-priority projects.
What We’re Looking For:
- Demonstrated ability to act as a product owner for data, rigorously refining loose or abstract product concepts—such as complex metrics or analytics definitions—into executable and domain-relevant data requirements, leveraging a deep understanding of analytics, client needs, and the industry to ensure clarity and alignment.
- Robust aptitude for interpreting complex datasets, including the ability to discern underlying patterns, identify anomalies, and design meaningful insights, demonstrating advanced data intuition and analytical skills.
- 4+ years experience as an engineer in a data role (data engineering, data platform, machine learning engineering, analytics engineering etc.) incl. familiarity with data modeling techniques and tools (e.g., DBT, Databricks Unity Catalogue) and modern Data Warehouses (eg. Snowflake, Databricks)
- Exceptional communication and organizational skills, with a proven ability to lead conversations, coordinate cross-functional teams, and drive projects to completion by aligning stakeholders, managing timelines, and ensuring clear and actionable documentation of complex data assets and requirements.
It’s a Plus if You Have…
- Expertise in the healthcare domain and familiarity with domain data-specific challenges such as codes/terminology (e.g. CPT, ICD), compliance (HIPAA), and interoperability standards (e.g., HL7, FHIR).
- Experience working with data governance frameworks or tools to ensure compliance and consistency across data assets.
- Proficiency with knowledge management systems (e.g., Notion) to organize documentation and foster team-wide transparency.
- Familiarity with managing or designing dataset lifecycles, including acquisition, validation, integration, and ongoing maintenance to ensure datasets remain accurate, relevant, and aligned with evolving business needs.
- Experience with data visualization tools and analytics technologies (Looker, Tableau, Sigma etc.)
The salary range for this role is $180,000 to $200,000. Qventus salary bands represent market data across different geographies. We consider several factors when determining compensation, including location, skills and qualifications, and prior relevant experience. Salary is just one component of Qventus’ total package. Some of our key benefits and perks* include but are not limited to: Open Paid Time Off, paid parental leave, professional development, wellness, and technology stipends, generous employee referral bonus, and employee stock option awards.
We believe that diversity, equity, inclusion, and belonging are fundamental to improving healthcare and society, and that’s why we’re building a company that leads the way. We hold ourselves accountable to using fair hiring processes that mitigate the negative impacts of unconscious bias. We also work to ensure that people from underrepresented groups play meaningful roles on both sides of the interview table. We are an equal opportunity employer and give all qualified applicants 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.
Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.
*Benefits and perks are subject to plan documents and may change at the company’s discretion.