Agentic Business Intelligence Manager

About DAT

DAT Freight & Analytics is an award-winning employer of choice and a next-generation SaaS technology company that has been at the leading edge of freight and logistics innovation for nearly five decades. Founded in 1978, DAT operates the largest freight marketplace in North America – processing 250 million+ load posts annually and maintaining one of the largest repositories of freight market transaction data in the world.

On a defined path to $1 billion in revenue, DAT deploys a suite of software solutions, machine learning models, and intelligent automation tools that help brokers, carriers, and shippers price freight accurately, source capacity, reduce risk, and operate more efficiently. With nearly 700 teammates across offices in Denver, CO;
Portland, OR;
Seattle, WA;
Springfield, MO;
Toronto, ON; and Bangalore, India, DAT combines the credibility of a multi-decade market leader with the drive of a company that is not done disrupting the industry it helped build. For more information, visit

Final date to receive applications: 6/22/2026

We're hiring an Agentic Business Intelligence Manager to join our Carrier team and help redefine how business intelligence is done s hybrid role sits at the intersection of analytics and applied AI: you'll deliver the rigorous insights leaders rely on for strategic decisions, while designing and deploying AI agents that scale and extend our BI capabilities.

You'll partner with stakeholders across the business to surface high-value problems, develop and report on KPIs that inform target priorities and team performance, and build agentic workflows that turn recurring analytical tasks into self-service tools. With each analysis, you'll ask the natural follow-up: what can an agent do to complement this next time?

This is a high-impact IC role with meaningful visibility at the leadership level. Agents are rapidly transforming the business intelligence function, and you'll shape how we incorporate them into ours.

• KPI development & ownership:
  Develop and own the key performance indicators that leadership uses to measure business health, ensuring metrics stay aligned with evolving strategic priorities.
• Strategic & ad‑hoc analysis:
  Partner with stakeholders across Operations, Finance, Product, and Marketing to scope analytical questions, deliver deep‑dive insights, and translate findings into clear recommendations that drive business decisions.
• BI development & reporting:
  Build and maintain dashboards, reports, and data models that make key business metrics accessible, accurate, and trustworthy across the organization.
• Agent design & deployment:
  Design, prototype, and deploy AI agents that augment BI workflows, including agents that monitor metrics for anomalies, generate narrative summaries, answer ad‑hoc data questions, and automate routine reporting cycles.
• Performance monitoring & iteration:
  Track how deployed agents and dashboards perform in the wild, gather feedback from end users, and continuously refine outputs to improve accuracy, usefulness, and adoption over time.
• Automation opportunity identification:
  Spot repetitive analytical tasks across the organization and evaluate which are best suited for agentic automation versus traditional BI tooling, balancing impact, complexity, and risk.
• Data quality & integrity:
  Partner with Data Engineering to validate source data, surface inconsistencies, and ensure that both human‑facing analyses and agent outputs are built on a trustworthy foundation.
• Documentation & enablement:
  Document agent capabilities, limitations, and intended use cases so stakeholders know when to trust outputs and when to verify.

• 3–8 years in a business intelligence, data analytics, or analytical consulting role with a track record of turning data into decisions.
• Demonstrated ability to translate ambiguous business questions into structured analyses and clear recommendations.
• Fluency with AI tools in your day‑to‑day work; comfortable writing clear prompts, evaluating outputs, debugging agent behavior, and knowing when human judgment must override automation.
• Ability to distill…