Overview In this role you will lead the design and implementation of Imperative Care's modern data foundation, combining semantic data platforms, knowledge graphs, and AI-enabled workflows. You will shape a scalable data architecture and act as a hands-on driver of agentic AI capabilities across core business systems. You'll work closely with IT, analytics, and business teams to enable governed analytics, self-service reporting, and retrieval-augmented generation. This is a mission-driven opportunity to accelerate data-driven decision-making in a regulated healthcare environment.
Compensation / Benefits- stock options
- 401k plan
- health benefits
- generous PTO
- parential leave program
- emotional health resources
Responsibilities- Design and own a semantic data platform integrating ERP, CRM, marketing, contracting, purchasing, quality management, and BI tools
- Architect and steer a knowledge graph/semantic layer vs. medallion star-schema with roadmap and TCO considerations
- Build and maintain the knowledge graph and data governance with RBAC/ABAC, lineage and data quality controls
- Prototype and deploy production AI agents and intelligent workflows with RAG, tool calling, and multi-agent orchestration
- Enable self-service analytics and support data governance, including reporting initiatives and KPI tracking
- Collaborate with MSPs/vendors to scale agent development and workflow automation across business processes
- Act as AI thought leader to drive adoption and cross-functional alignment across IT, Finance, Sales, Marketing, Legal, and Quality
- Lead pilots/POCs end-to-end and scale them into production in regulated environments
- Ensure solutions meet compliance, security, and scalability requirements
Key requirements- Bachelor in Computer Science or related field and 12+ years in data engineering/architecture or related areas; Master's preferred
- Experience architecting modern data platforms (semantic layer, knowledge graph, or medallion/lakehouse) and integrating heterogeneous sources
- 2+ years hands-on experience building production generative AI and agentic solutions (LLMs, RAG, orchestration)
- Knowledge of data governance and security models (RBAC/ABAC) and data cleansing patterns
- Proven ability to deliver pilots and scale to production; experience with regulated environments (GxP, 21 CFR Part 11, CSV/CSA, HIPAA) preferred
- Cloud infrastructure hands-on knowledge; experience managing MSPs/vendors (SOWs, budgets) preferred
- Strong communication across technical and business audiences
- Effective communicator
- Change agent / thought leadership
- Collaboration across cross-functional teams
- Semantic data platform
- Knowledge graph
- RAG and AI agent orchestration
