Vice President of Software Engineering

Our client, an award-winning, growth-stage healthcare fintech company, is hiring a VP of Software & Data Engineering to lead the technology behind its patient platform. This hands-on leader will own engineering and data strategy, scale the team, lead enterprise AI deployment and modernize a highly regulated platform that serves health systems and patients nationwide.

If the following job requirements and experience match your skills, please ensure you apply promptly.

What You'll Do

• Set the software and data roadmap and lead engineering, data, QA and DevOps teams
• Modernize the patient engagement, payments and provider platforms toward a cloud-native, API-first architecture
• Own integrations with health system EHR and revenue cycle systems, lending partners and payment processors
• Build a modern data platform that powers risk, collections and client reporting
• Lead AI strategy and deployment, taking ML and generative AI from pilot to production in areas such as payment propensity, patient engagement, servicing automation and engineering productivity
• Set responsible AI governance, including model monitoring, explainability, bias testing and HIPAA-safe data use
• Drive engineering excellence through CI/CD, automated testing, observability and clear delivery metrics
• Maintain security and compliance (HIPAA, HITRUST, PCI DSS, SOC 2) and platform reliability
• Manage the engineering budget, vendors and build-vs-buy decisions

What You Bring

• 10+ years in software and/or data engineering
• Deep experience with .net and SQL.
• Experience scaling platforms in healthcare, payments, lending or revenue cycle management xhyhwjd
• Deep knowledge of cloud (Azure or AWS), microservices, APIs and modern data stacks (e.g., Snowflake, Databricks, Fabric, dbt)
• Track record in regulated environments (HIPAA, HITRUST, PCI DSS or SOC 2)\
• Hands-on experience deploying ML or generative AI solutions into production, including MLOps and LLM platforms (e.g., Azure OpenAI, AWS Bedrock)
• Proven ability to hire, develop and retain strong engineering teams
• Bachelor's degree in Computer Science, Engineering or a related field