Sr. Director, Software & Data Engineering

Company Description

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 Description

The 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 

Additional Information

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