Director, Data and Platform

The role

You will own the full data architecture end to end and manage devops and infrastructure for the AI engineering team. You will set technical direction, build systems, and lead a growing team while writing and shipping code yourself.

What you will do

• Own the data architecture end to end from ingestion through ETL, transformation, extracts, and dashboards.
• Own devops and infrastructure for the AI engineering team.
• Design and own the platform architecture underlying AI engineering systems.
• Set technical direction and standards for data infrastructure, pipelines, ETL, and platform reliability.
• Design the extract and reporting layer for accurate and timely dashboards.
• Build and deploy production grade systems.
• Write and ship code.
• Build and lead the data and platform team through hiring and day-to-day direction.
• Mentor engineers on architecture, data design, devops, and platform thinking.
• Partner with AI engineering leadership to align platform investments with product and research priorities.

Required qualifications

• Proven, hands-on experience owning data architecture end to end.
• Proven, hands-on devops experience building, deploying, and operating systems at scale.
• Track record of writing and shipping production code.
• Hands-on depth across the modern data stack including big data/distributed processing, NoSQL and document stores, data warehousing, and high-throughput transactional databases.
• Rigorous PHI/PII handling and detection practices.
• Hands-on experience with devops tooling and practices including GitOps workflows, Kubernetes, and cloud infrastructure (AWS or equivalent).
• Excellent communication and collaboration skills.
• Experience mentoring engineers on architecture, data design, devops, and/or platform thinking.
• Prior experience building and leading a team, or clear readiness to take on direct reports.
• Comfort working in a small, fast-moving team.

Nice to have

• Experience architecting data platforms that support AI or ML workloads.
• Experience with vector databases for AI/ML retrieval (e.g., Qdrant, Pinecone, Weaviate).
• Experience in healthcare, pharmacy benefits, or another regulated data environment.
• Experience standing up data platforms from scratch (greenfield).

About the company

RxSense is a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits.