Senior Business Intelligence Engineer (AI-Powered Analytics)

Quick Facts

• Role: Senior Business Intelligence Engineer (AI-Powered Analytics)

• Focus: AI-powered analytics, proactive root-cause investigation, and automation for trusted business insights

Description

The Senior Business Intelligence Engineer will drive AI and automation in analytics to power executive-level decision making. The role owns end-to-end BI solutions for governed, scalable analytics—including standardized metrics, dashboards, and automated reporting—so insights are accurate, auditable, and actionable. The team’s next goal is to move from answering questions to explaining why metrics moved and what to do next.

Responsibilities

• Own the technical roadmap for the analytics stack, including data models, semantic layers, governance controls, and AI integration patterns

• Design and build AI-powered analytics for root-cause investigation, anomaly detection, and proactive insights using LLMs, Retrieval-Augmented Generation (RAG), and agent frameworks

• Define and enforce metric governance (definitions, lineage, freshness, validation) and evaluate AI outputs for accuracy and auditability

• Automate recurring KPI reporting by delivering self-service and agent-generated insights

• Perform technical review for data quality, scalability, latency, security, and performance; make build-vs-buy and migration decisions across analytics platforms

• Apply statistical rigor for KPI definition, calibration, and monitoring, including alarms and experiment-based business impact measurement

• Write design docs and communicate trade-offs, capabilities, and limitations to senior stakeholders

• Mentor BI engineers and raise engineering standards through code reviews, naming conventions, metric definitions, and operational excellence

Requirements

• 10+ years professional or military experience

• Bachelor’s degree in a relevant field (Computer Science, Engineering, Mathematics, Statistics, Economics, or related)

• 8+ years SQL experience

• 8+ years processing large multi-dimensional datasets from multiple sources

• 8+ years statistical analysis experience

• 8+ years experience as a Data Analyst, Data Engineer, Business Intelligence Analyst, or related occupation

• Experience programming to extract, transform, and clean large (multi-TB) datasets

• Experience with data visualization using Tableau, Quicksight, or similar tools

• Experience with AWS technologies

• Experience scripting for automation (e.g., Python) and advanced SQL skills

Benefits

• Comprehensive benefits including health insurance (medical, dental, vision, prescription), Basic Life & AD&D with optional Supplemental Life, EAP, Mental Health Support, and Medical Advice Line

• Flexible Spending Accounts, adoption and surrogacy reimbursement coverage

• 401(k) matching, paid time off, and parental leave