Lead the design and delivery of analytics solutions addressing workforce and human capital challenges, building scalable data pipelines and dashboards using SQL, Python, Databricks/Snowflake, and Tableau. Translate business problems into structured analytical approaches, integrate AI-enabled capabilities and LLM applications into client solutions, and communicate findings to both technical and non-technical stakeholders.… Requires 2+ years of data engineering or analytics experience, 2+ years with modern data & AI engineering (data modeling, batch/streaming pipelines, feature engineering), and 1+ years with machine learning concepts or LLM applications. Collaborate across service lines on data governance, quality controls, and operationalizing MLOps workflows.