Director, Data and Platform

Accountabilities: Own the end-to-end data architecture, including data ingestion, ETL and transformation, extracts, reporting, and BI layers, ensuring data remains accurate, timely, reliable, and trusted. Lead the architecture and operation of DevOps and infrastructure supporting AI engineering, covering systems from ingestion through serving. Establish technical direction, architecture standards, and engineering practices across data infrastructure, pipelines, transformation logic, platform reliability, and observability. Design, build, deploy, and operate production-grade systems, while continuing to write and ship code personally. Develop infrastructure that is scalable, stable, observable, and maintainable without extensive manual intervention. Build and lead the data and platform organization, including hiring, team development, day-to-day leadership, and technical mentorship. Mentor engineers across architecture, data design, DevOps, and platform engineering practices. Partner with AI engineering leadership to align platform investments with product and research priorities. Translate business and executive priorities into practical data strategy and architecture decisions, clearly communicating technical trade-offs and their implications. Collaborate across engineering, architecture, product, research, and business teams to ensure platform investments support organizational goals. Requirements 8+ years of experience architecting and building production platforms; candidates with strong relevant experience but fewer years may also be considered. Proven hands-on ownership of data architecture across ingestion, ETL, transformation, extracts, reporting, and BI. Strong DevOps experience, including designing, deploying, operating, and scaling production systems and infrastructure. Demonstrated ability to write and ship production code rather than focusing solely on architecture documentation or system design. Hands-on experience with modern data technologies such as Spark, Kafka, MongoDB, DynamoDB, Snowflake, Redshift, BigQuery, Postgres, and/or MySQL. Experience handling and protecting sensitive PHI/PII data, including appropriate detection and data-management practices. Practical experience with GitOps workflows, Kubernetes, and cloud infrastructure such as AWS or equivalent platforms. Strong communication skills, with the ability to translate complex architectural decisions into actionable information for engineers, architects, and non-technical leaders. Experience mentoring engineers in architecture, data design, DevOps, and/or platform engineering. Previous people-management experience or demonstrated readiness to lead direct reports. Comfort working in a small, fast-paced environment where responsibilities span multiple technical areas. Experience with AI/ML data platforms, vector databases such as Qdrant, Pinecone, or Weaviate, healthcare or other regulated data environments, or greenfield platform development is a plus. Benefits Competitive compensation: Base salary range of $220,000–$260,000 USD . Opportunity to take on a high-impact leadership role within a growing healthcare technology environment. Hands-on ownership of data, platform, infrastructure, and AI engineering architecture. Direct people leadership responsibilities from the start, with opportunities to build and grow the team. Opportunity to work with modern data, cloud, DevOps, and AI/ML technologies. Remote position for candidates based in the United States. Inclusive workplace committed to equal employment opportunity and a diverse workforce. Opportunity to contribute to technology supporting more efficient pharmacy benefits and healthcare access.