Data Analytics Manager: Lead Trusted AI-Driven Insights

Betenbough Companies; United States; On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Comprehensive Benefits

Life AD&D LTD Insurance

ESOP Retirement Benefit

Paid Time Off

Company Cell Phone

Monthly Internet Stipend

Training Opportunities

Vision Trips

Job summary

Betenbough Companies seeks a Business Analytics Manager to lead a team ensuring data accuracy, accessibility, and trust across the organization. You will craft data ecosystems with business context to empower AI products and tools, and provide guardrails for accurate AI outputs.

You’ll train leaders in self-service analytics, partner on data architecture, and champion a culture where data quality and accountability are shared responsibilities across departments.

Qualifications

• Strong experience writing complex SQL queries.
• Experience with Microsoft SQL Server data architecture or data design.
• Experience with data warehouses or enterprise BI data models.
• Hands on experience with large language models (LLMs) and connecting AI tools to data sources.

Responsibilities

• Own the accuracy and trustworthiness of company data everywhere it is used.
• Design ecosystems that combine business knowledge with data for AI access.
• Provide business context, terminology, relationships, and guardrails for AI tools.
• Equip and train leaders to get insights via self-service and AI tools.
• Partner with related teams on data architecture and standards.
• Coach and mentor the analytics team daily to understand the business drivers.
• Build a culture that surfaces errors quickly and without fear.

Skills

Advanced SQL

Strong communication

Leadership / team management

Data modeling concepts

Tools

Microsoft SQL Server

Data warehouses / BI models

LLMs integration

Tableau

Power BI

Python

Job description

Betenbough Companies seeks a Business Analytics Manager to lead a team ensuring data accuracy, accessibility, and trust across the organization. You will craft data ecosystems with business context to empower AI products and tools, and provide guardrails for accurate AI outputs.

You’ll train leaders in self-service analytics, partner on data architecture, and champion a culture where data quality and accountability are shared responsibilities across departments.