Senior Director of Engineering & Data
Technology
Job Description
Our client, a growth-stage healthcare fintech company, is hiring a Senior Director of Engineering & Data to lead the teams behind its patient platform. Reporting to the CTO, this hands-on leader will own software and data engineering execution, scale the team, drive enterprise AI deployment and modernize a highly regulated platform that serves health systems and patients nationwide. This role is for someone who takes ownership, drives projects to completion and isn’t afraid to push back.
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What You'll Do
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- Lead software engineering, data engineering, QA and DevOps teams, partnering with the CTO on the technology roadmap and owning its execution
- 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
- Take ML and generative AI from pilot to production in areas such as payment propensity, patient engagement, servicing automation and engineering productivity
- Implement responsible AI practices, including model monitoring, explainability, bias testing and HIPAA-safe data use
- Establish engineering processes and delivery standards through CI/CD, automated testing, observability and clear metrics
- Partner with product leadership to shape priorities, push back on scope and timelines when needed, and keep delivery realistic
- Maintain security and compliance (HIPAA, HITRUST, PCI DSS, SOC 2) and platform reliability
- Manage team budget, vendors and build-vs-buy recommendations
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What You Bring
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- 10+ years in software and/or data engineering
- Deep experience with .net and SQL.
- Deep knowledge of cloud (Azure or AWS), microservices, APIs and modern data stacks specifically Snowflake
- 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
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