Enterprise Data Solutions Manager

Role overview Own the governed data products, reporting experiences, and applied AI tools that business teams use to make decisions. The role focuses on the consumption layer: turning established requirements and upstream data into semantic models, standardized metrics, BI solutions, and secure AI applications, with delivery responsibilities extending through production support.

Responsibilities - Build and maintain gold-layer data products, semantic models, and business metrics, coordinating with data engineering on upstream pipelines. - Develop Power BI reports and Copilot-enabled experiences over governed datasets. - Create usage and adoption reporting for BI, automation, and AI tools, then use findings to improve them. - Design and deploy AI agents, retrieval-augmented generation applications, and related workflows; maintain embeddings, vector stores, and grounding strategies. - Evaluate AI quality, reliability, latency, and usability; implement monitoring, logging, error handling, and human review. - Apply data classification, PII safeguards, access controls, and protections against prompt injection; own technical delivery, documentation, and production support.

Requirements - A relevant bachelor’s degree or equivalent combination of education and experience. - Three to five years in BI, analytics or data engineering, or software development. - Hands-on work with Microsoft Fabric or a comparable cloud data platform; strong SQL and working Python skills, including notebook or PySpark work. - Power BI experience with semantic models, DAX, and report development. - Built at least one generative AI solution, such as a RAG application, agent, or LLM-integrated workflow. - Experience using Git-based version control. Permanent U.S. work authorization is required; employment visa sponsorship is unavailable.

Nice to have - Fabric Analytics Engineer certification; production experience with agents, RAG, embeddings, vector databases, or Azure AI Foundry. - Power Platform, row-level security, Entra ID, or Purview experience; manufacturing experience or familiarity with Sage X3 or Salesforce data.

Benefits and work setup The listing cites day-one health coverage and holiday pay, accrued vacation and personal time, tuition reimbursement, employee discounts, training, and a 401(k) with company match.