Healthcare Insights - Staff Data Engineer, AI & Context Platform

Huron • Chicago, IL

6d • $140,000 - $190,000

About The Position

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 are under 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 meaningful and substantive change. To succeed long-term, healthcare organizations must empower leaders, clinicians, employees, affiliates and communities to build cultures that foster innovation to 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 and optimize existing business operations, improve clinical outcomes, create a more consumer-centric healthcare experience, and drive physician, patient and employee engagement across the enterprise. Join our team as the expert you are now and create your future. This role sits within a strategic investment to embed AI into how we operate, serve customers, and make decisions within our healthcare business. We’re building an healthcare-wide AI data and context platform with a focus on deep domain expertise embedded throughout our architecture. Our goals are: Turn structured and unstructured information into trusted, reusable “building blocks” (semantic layers, retrieval services, and agent-ready interfaces) that accelerate product innovation Deliver transformational speed and leverage —faster time-to-insight, higher automation of knowledge work, and a foundation that scales AI safely and reliably as adoption grows. Unlock new capabilities across our business. Create the foundation that drives deeper domain innovation and allows cross-domain collaboration to flourish. This is a hands-on technical leader who builds core AI/context data capabilities and leads delivery through architecture, implementation, and mentorship. The role owns key parts of the AI context platform—unstructured ingestion, embeddings, retrieval, semantic layers, and governance—while partnering across teams to ship production-grade AI data products. This roles does not have direct reports initially. Leadership is through technical ownership and influence.

Requirements

• 6–10+ years in data engineering/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.

Nice To Haves

• 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.

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, postmortems.
• 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/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.

Benefits

• Huron Consulting Group offers a competitive compensation and benefits package including medical, dental, and vision coverage to employees and dependents; a 401(k) plan with a generous employer match; an employee stock purchase plan; a generous Paid Time Off policy; and paid parental leave and adoption assistance.
• Our Wellness Program supports employee total well-being by providing free annual health screenings and coaching, bank at work, and on-site workshops, as well as ongoing programs recognizing major events in the lives of our employees throughout the year.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed