
5001 - 10000 employees
Founded 2002
🤝 B2B
🏢 Enterprise
💸 Finance
B2B • Enterprise • Finance
Huron Consulting Group is a global consultancy that provides a wide range of services including strategy, operations, advisory, digital, technology, and analytics solutions to various sectors such as healthcare, education, energy, and financial services. Huron helps organizations navigate complex challenges and drive growth through tailored solutions and innovative strategies. The company employs a team of experts dedicated to delivering high-impact solutions that address the unique needs of each client, focusing on areas such as managed services, outsourcing, and leadership development.
🕒 June 7
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5001 - 10000 employees
Founded 2002
🤝 B2B
🏢 Enterprise
💸 Finance
B2B • Enterprise • Finance
Huron Consulting Group is a global consultancy that provides a wide range of services including strategy, operations, advisory, digital, technology, and analytics solutions to various sectors such as healthcare, education, energy, and financial services. Huron helps organizations navigate complex challenges and drive growth through tailored solutions and innovative strategies. The company employs a team of experts dedicated to delivering high-impact solutions that address the unique needs of each client, focusing on areas such as managed services, outsourcing, and leadership development.
• Build and contribute to the AI context platform • Implement end-to-end pipelines: ingestion → parsing/chunking → enrichment → embeddings → vector indexing → retrieval/serving • Build and maintain patterns for incremental refresh, backfills, re-embeddings, deduplication, and lineage across unstructured sources • Contribute to retrieval quality improvements (query strategies, hybrid search, metadata filtering) in partnership with AI engineers • Deliver semantic and governed data products • Implement semantic layers (metrics/entities) that power BI and agent reasoning consistently • Ensure datasets and indexes are documented and reusable • Support reliability and performance across assigned workstreams: monitoring, alerting, runbooks, and incident response
• BA or BS required, preferably in Computer Science, Engineering, or a technology-based discipline • 3–6 years in data engineering or data platform roles with strong hands-on delivery • Strong SQL and Python (or Scala/Java); solid production engineering habits • Experience designing and operating cloud data pipelines at scale • Experience working with unstructured data processing and search/retrieval concepts
• Medical, dental, and vision coverage • 401(k) plan with generous employer match • Employee stock purchase plan • Generous Paid Time Off policy • Paid parental leave and adoption assistance • Wellness Program supporting total well-being
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