Data Architect - Healthcare Insights - Supply Chain (Manager)

Key Responsibilities Architect and own the AI context platform, delivering core AI/context data capabilities. Design end‑to‑end platform architecture covering ingestion, parsing, chunking, enrichment, embeddings, vector indexing, and retrieval/serving. Define scalable patterns for incremental refresh, backfills, re‑embeddings, deduplication, and lineage across unstructured sources. Set technical direction for retrieval quality, query strategies, hybrid search, metadata filtering, and reranking in partnership with AI engineers. Evaluate and select infrastructure, tooling, and cloud services across AWS/Azure/GCP to support platform needs. Deliver semantic and governed data products and implement semantic layers (metrics/entities) that power BI and agent reasoning. Define data contracts and context contracts for AI inputs, ensuring schemas, metadata, freshness, and citation expectations. Establish standards for discoverability, documentation, and reusability across datasets and indexes. Own the dbt or semantic layer tooling strategy and enforce consistent application across workstreams. Ensure reliability and performance at the platform level: monitoring, alerting, SLAs/SLOs, runbooks, incident response, and post‑mortems. Drive cost and latency optimization across Snowflake, lakehouse, and vector infrastructure. Set engineering standards for CI/CD, testing, and evaluation, including retrieval eval sets, regression tests, and online telemetry. Implement AI safety, governance, and compliance, including RBAC/ABAC patterns, PII redaction, retention controls, audit logging, and safe access pathways. Partner with Security/Legal/Compliance to define and enforce guardrails for AI access to enterprise knowledge. Own governance patterns for sensitive data handling across the platform. Drive technical roadmap decomposition with product, AI, and application stakeholders, facilitating architectural decisions across teams without direct authority. Mentor engineers through design reviews, code reviews, and documentation, setting best practices. Future Scope Expected to evolve into direct people leadership over time, managing a small team of engineers with hiring input, technical development oversight, and delivery supervision. Travel Expectations Ability to travel as needed up to four times per year. Required Qualifications 8–12+ years experience in data engineering, data architecture, or platform roles with significant hands‑on delivery. Expertise in SQL and strong Python (or Scala/Java); deep production engineering habits. Hands‑on Snowflake expertise including advanced data modeling, pipeline design, performance tuning, and production scale operation. Proven design of cloud data architectures on AWS, Azure, or GCP with storage, compute, orchestration, and networking considerations. Experience with vector search and embeddings (pgvector, Pinecone, Weaviate, OpenSearch, Elastic) and retrieval patterns such as semantic retrieval, hybrid search, and reranking. Experience with dbt or comparable semantic layer tooling in a production environment. Demonstrated ability to lead cross‑functional technical initiatives and drive alignment across teams. Strong written and verbal communication skills, presenting architecture decisions to both technical and non‑technical audiences. Preferred Qualifications 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 data governance programs. Familiarity with Iceberg, Delta Lake, or other open table formats in a lakehouse context. Prior experience as a formal or informal technical lead or staff engineer. Example Success Measures Improved 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, context contracts, and platform standards across teams. Architecture decisions well‑documented, defensible, and enabling downstream engineers to deliver faster. Platform design earns trust from Security, Compliance, and business stakeholders. Behavioral Attributes Business‑curious and domain‑eager: proactively learns healthcare processes, terminology, and KPIs. Stakeholder‑first collaborator: builds strong relationships, clarifies goals, and communicates risks. Consultative problem‑solver: diagnoses before prescribing, asks smart questions, and guides teams toward durable solutions. Influence without authority: leads through expertise, drives alignment, and unblocks teams without positional power. High ownership and follow‑through: treats reliability, documentation, and operational readiness as part of the work. Clear communicator for mixed audiences: deep technical explanations for engineers and plain explanations for non‑technical partners. Pragmatic builder mindset: biases toward shipping value in iterations and validating with users. Comfortable with ambiguity: thrives in early‑stage spaces and turns unclear goals into actionable architectural plans. Integrity and stewardship: handles sensitive data responsibly and advocates secure‑by‑design patterns. Position Level Manager Country United States of America Salary Base salary: $140,000–$190,000USD Estimated total compensation (including incentive): $161,000–$237,500USD Benefits Health, dental, and vision coverage; 401(k) plan with employer match; employee stock purchase program; generous paid time off; paid parental leave; adoption assistance; wellness programs including free annual health screenings and coaching, on‑site workshops, and other well‑being support. Equal Employment Opportunity Huron is fully committed to providing equal employment opportunity to job applicants and employees in recruitment, hiring, employment, compensation, benefits, promotions, transfers, training, and all other terms and conditions of employment. Huron will not discriminate on the basis of age, race, color, gender, marital status, sexual orientation, gender identity, pregnancy, national origin, religion, veteran status, physical or mental disability, genetic information, creed, citizenship or any other status protected by laws or regulations in the locations where we do business. Additional Information All benefits and programs are subject to applicable eligibility requirements. All data pertaining to compensation and benefits comply with relevant state and local laws regarding salary transparency. #J-18808-Ljbffr Huron Consulting Group Inc.