Business Intelligence (BI) Lead

Job Title: Business Intelligence (BI) Lead

Location: Remote (CST Hours)

Onsite/Remote/Hybrid: Remote

ROLE DESCRIPTION:

As an AI Tech Business Intelligence (BI) Lead, you will serve as the analytical and quantitative engine of the organization. You will leverage Google's internal analytics infrastructure-including Plx Dashboards, GoogleSQL, query engines, and Plx Workflows-to design executive-ready dashboards, automate recurring data pulls, and perform deep-dive statistical analyses.

In this role, you will collaborate closely with Strategy & Operations (S&O), Engineering leadership, and Go-To-Market teams to define canonical metrics, track customer engagement ROI, and monitor the velocity of AI transformations. You will be responsible for building self-service BI tools, conducting bespoke quantitative studies (e.g., measuring the activation gap across accounts), and translating complex datasets into clear, narrative reporting for VP and director-level stakeholders.

RESPONSIBILITIES:

• Plx Dashboard Architecture: Design, develop, and maintain highly performant, automated Plx Dashboards (and Looker/Tableau reporting suites) to visualize key AI Tech operational metrics, FDE allocation efficiency, and customer engagement outcomes, among others.
• Complex SQL & Data Pulls: Write, optimize, and execute advanced GoogleSQL queries across internal Google data repositories (including deepmind_analytics, Buganizer, CRM, and Plx tables) to generate rapid, highly accurate data pulls for executive leadership.
• Data Pipeline Automation (ETL): Build, monitor, and maintain reliable data pipelines using Plx Workflows and automated scripting to ingest, clean, transform, and aggregate raw operational data into curated data tables.
• Deep-Dive Quantitative Analysis: Perform ad-hoc statistical and exploratory data analyses to answer critical strategic questions, evaluate engagement ROI, analyze customer adoption patterns, and identify operational efficiency bottlenecks.
• Metric Governance & Standardization: Partner with Strategy & Operations (S&O) to define, standardize, and govern canonical business and operational metrics across the AI Tech organization.
• Executive Reporting & Storytelling: Synthesize complex data findings into structured visual charts, executive briefing summaries, and narrative presentations for the leadership
• Self-Service BI Enablement: Empower field teams and program managers with self-service data tools and documentation, reducing manual reporting overhead and accelerating time-to-insight.

MINIMUM QUALIFICATIONS:

• Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, Information Systems, or equivalent practical experience.
• 8+ years of relevant experience in Business Intelligence, Data Analytics, Quantitative Analysis, or technical consulting within an enterprise technology environment.
• Advanced proficiency in writing complex SQL queries (e.g., GoogleSQL, ANSI SQL) and querying large-scale relational databases and data warehouses.
• Proven experience designing and deploying interactive BI dashboards and reporting applications (e.g., Plx Dashboards, Looker, Tableau, or Power BI).
• Experience building and maintaining data transformation workflows and ETL pipelines.