Sr. Director, Software & Data Engineering

Privia Health is a technology-driven company focused on enabling physicians and optimizing healthcare delivery. The Sr. Director, Software & Data Engineering will lead the Privia Data Foundry and AI initiatives, executing a technology roadmap that leverages cloud modernization, analytics, and automation.

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

Requirements:

• 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
• 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