Senior Data Engineer, AI & Context Platform - Healthcare Insights - Rev Cycle OR Clinical Team [...]

Role Huron helps its clients drive growth, enhance performance and sustain leadership in the markets they serve. We help healthcare organizations build innovation capabilities and accelerate key growth initiatives, enabling organizations to own the future, instead of being disrupted by it. Together, we empower clients to create sustainable growth, optimize internal processes and deliver better consumer outcomes. Health systems, hospitals and medical clinics face immense pressure to improve clinical outcomes and reduce the cost of providing patient care. Investing in new partnerships, clinical services and technology is not enough; to create lasting change, healthcare organizations must empower leaders, clinicians, employees, affiliates and communities to build cultures that foster innovation and achieve the best outcomes for patients. Joining the Huron team means you’ll help our clients evolve and adapt to the rapidly changing healthcare environment, optimise existing business operations, improve clinical outcomes, create a more consumer‑centred experience, and drive physician, patient and employee engagement across the enterprise. Key Responsibilities Build and own the AI context platform Design and implement end‑to‑end pipelines: ingestion → parsing/chunking → enrichment → embeddings → vector indexing → retrieval/serving. Build scalable patterns for incremental refresh, backfills, re‑embeddings, deduplication, and lineage across unstructured sources. Improve retrieval quality (query strategies, hybrid search, metadata filtering, reranking hooks) in partnership with AI engineers. Deliver semantic and governed data products Define and implement semantic layers (metrics/entities) that power BI and agent reasoning consistently. Establish data contracts and “context contracts” for AI inputs (schemas, metadata requirements, freshness, citation expectations). Ensure datasets and indexes are discoverable, documented, and reusable. Operational excellence Own reliability and performance: monitoring, alerting, SLAs/SLOs, runbooks, incident response, post‑mortems. Optimize cost and latency across warehouse/lakehouse and vector infrastructure. AI safety, governance and compliance Implement security‑by‑design: RBAC/ABAC patterns, PII redaction, retention controls, audit logging, and safe access pathways for agent tools. Partner with Security, Legal and Compliance on guardrails for AI access to enterprise knowledge. Lead through influence Drive technical direction and roadmap decomposition with product/AI/application stakeholders. Set best practices for testing, CI/CD and evaluation (retrieval eval sets, regression tests, online telemetry). Mentor engineers via pairing, code reviews and lightweight enablement sessions. Required Qualifications 6‑10+ years in data engineering or platform roles with significant hands‑on delivery. Expert SQL and strong Python (or Scala/Java); strong production engineering habits. Proven experience designing cloud data pipelines and operating them reliably at scale. Experience working with unstructured data processing and search/retrieval concepts. Strong communication skills and ability to lead cross‑functionally. Preferred Qualifications Hands‑on experience with vector search and embeddings (pgvector/Pinecone/Weaviate/OpenSearch/Elastic) and retrieval patterns (semantic retrieval, hybrid search, reranking). Experience supporting LLM applications (RAG, agent tool interfaces, evaluation/observability). Knowledge of knowledge graphs/semantic modeling or metrics layers at scale. Experience in regulated environments and mature governance programs. Example Success Measures Measurable improvement in AI outcomes: higher retrieval precision/recall, better citation coverage, fewer “missing context” failures. Reduced latency/cost per retrieval and improved platform reliability (SLO attainment, lower MTTR). Broad adoption of semantic definitions and context contracts across teams. Accelerated delivery by enabling others via standards, templates and mentorship. Behavioral Attributes Business‑curious and eager to learn: proactively learn the functional domain, speak credibly with SMEs and business leaders, and help shape the right questions and success measures. Stakeholder‑first collaborator: build strong relationships, clarify goals, communicate progress and risks, and set realistic expectations. Consultative problem‑solver: diagnose before prescribe, ask smart questions, propose options and guide teams toward durable solutions. Influence without authority: lead through expertise and trust, drive alignment, facilitate decisions and unblock teams. High ownership and follow‑through: treat reliability, documentation, and operational readiness as part of the work, finish what you start and hold a high bar for production quality. Clear communicator for mixed audiences: deep technical explanations and plain language for non‑technical partners, write crisp docs, designs and runbooks. Pragmatic builder mindset: bias toward shipping value iteratively, validating with users, and improving based on feedback. Comfortable with ambiguity: thrive in early‑stage or evolving spaces, adapt quickly, and turn unclear goals into actionable plans. Integrity and stewardship: handle sensitive data responsibly, respect governance and advocate secure‑by‑design patterns while enabling the business to move fast. The estimated base salary for this job is $140,000 – $190,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes and required travel. This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay‑for‑performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $161,000 – $237,500 USD. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future. Position Level – Manager Country – United States of America #J-18808-Ljbffr Huron