Privia Health™ is a technology-driven, national physician enablement company that collaborates with medical groups, health plans, and health systems to optimize physician practices, improve patient experiences, and reward doctors for delivering high-value care in both in-person and virtual settings. The Privia Platform is led by top industry talent and exceptional physician leadership, and consists of scalable operations and end-to-end, cloud-based technology that reduces unnecessary healthcare costs, achieves better outcomes, and improves the health of patients and the well-being of providers.
Job DescriptionThe Sr. Director, Software & Data Engineering will shape the direction of the Privia Data Foundry, and AI. This leader will be responsible for executing a multi-year technology roadmap leveraging cloud modernization, analytics, automation and AI/GenAI.
Primary Responsibilities:
End to end delivery of multi-domain Privia Data Foundry, Reporting, Dashboards and Analytics with a cloud native architecture and lead AI initiatives
Establish engineering excellence metrics, agile delivery models and DevOps practices
Maintain accountability for data pipelines, reliability, scalability, security, uptime and performance of each of the services
Define and own the technology strategy for Privia Data Foundry, by ensuring alignment with enterprise goals and milestones
Build a multi-year roadmap leveraging cloud modernization, automation, analytics and GenAI capabilities
Partner closely with RCM and VBC operations, pre & post sales, enterprise architecture and other engineering leadership teams to prioritize the investments
Lead, mentor and grow a high performing, global, diverse engineering and product delivery organization
Build a culture focused on employee experience, empowerment, and continuous improvement
Drive talent development through upskilling, modern engineering practices and cross-functional collaboration
Mentor engineering teams in the use of AI, especially for development, testing, solution documentation and dependency analysis
Partner with Enterprise AI team to leverage Gitlab Duo and AI Studio for rapid solution development
Serve as a trusted engineering partner to internal/external stakeholders
Represent technology in client conversations to strengthen trust, transparency and delivery confidence
Design solutions informed by healthcare data flows, RCM, clinical workflows, provider and payer contracts, and regulatory expectations
Familiarity with value based care and fee for service delivery models
Ability to build big data warehouse using Snowflake and other technologies
Apply interoperability standards (HL7, X12 FHIR) to ensure systems communicate reliably and securely
Qualifications
10+ years of progressive experience in technology delivery, Engineering leadership and cloud modernization/transformation
Proven experience of leading large-scale transformation programs in global and matrixed organizations
Deep experience in healthcare technology delivery especially in Claims and Payer contracting areas
Preferred qualifications:
Bachelor's in computer science, engineering or related technical field preferred
Demonstrated experience in data engineering, building large data warehouse, digital transformation, public cloud and technology transformation
Experience leading large scale modernization initiatives, interoperability transformations, platform rationalization efforts
Solid grounding of healthcare specific data exchange standards
3+ years of experience in cloud platforms like GCP and AWS (Data, Integration, App Services and DevOps)
Experience working with Agile methodologies
Hands on experience implementing AI/ML or GenAI solutions, to improve operational outcomes
Proven record of exceptional communication, stakeholder influencing and cross-functional leadership skills
2+ years of experience designing agentic workflows and autonomous systems
Demonstrated ability to lead and transform teams, drive change and build a culture of innovation
1+ years of experience with AI/ML concepts, including responsible AI principles, multi-agent solutions like Vertex AI, generative AI and MCP
All your information will be kept confidential according to EEO guidelines.
The salary range for this role is $187,000.00 to $220,000.00 in base pay and exclusive of any bonuses or benefits (medical, dental, vision, life, and pet insurance, 401K, paid time off, and other wellness programs). This role is also eligible for an annual bonus targeted at 20% and restricted stock units based on performance in the role.. The base pay offered will be determined based on relevant factors such as experience, education, and geographic location
Technical Requirements (for remote workers only, not applicable for onsite/in office work):
In order to successfully work remotely, supporting our patients and providers, we require a minimum of 5 MBPS for Download Speed and 3 MBPS for the Upload Speed. This should be acquired prior to the start of your employment. The best measure of your internet speed is to use online speed tests like https://www.speedtest.net/. This gives you an update as to how fast data transfer is with your internet connection and if it meets the minimum speed requirements. Work with your internet provider if you have questions about your connection. Employees who regularly work from home offices are eligible for expense reimbursement to offset this cost.
Privia Health is committed to creating and fostering a work environment that allows and encourages you to bring your whole self to work. We understand that healthcare is local and we are better when our people are a reflection of the communities that we serve. Our goal is to encourage people to pursue all opportunities regardless of their age, color, national origin, physical or mental (dis)ability, race, religion, gender, sex, gender identity and/or expression, marital status, veteran status, or any other characteristic protected by federal, state or local law.
Skills Required
- 10+ years of progressive experience in technology delivery
- Proven experience of leading large-scale transformation programs
- Deep experience in healthcare technology delivery
- Bachelor's in computer science, engineering or related field
- 3+ years of experience in cloud platforms like GCP and AWS
- Hands on experience implementing AI/ML or GenAI solutions

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