Agentic Business Intelligence Manager

DAT•Seattle, WA

7d•$141,000 - $190,000•Hybrid

About The Position

We're hiring an Agentic Business Intelligence Manager to join our Carrier team and help redefine how business intelligence is done at DAT. This 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.

Requirements

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 analytical work into digestible presentations and communicate learnings clearly.
Growth mindset and a willingness to work hard – this will be a high-effort, high-reward type role for those excited about building business leverage with AI.

Nice To Haves

Experience deploying AI agents or LLM-powered tools, including thinking through evaluation, monitoring, and failure modes.
Experience in fintech, payments, banking, or logistics.

Responsibilities

Develop and own the key performance indicators that leadership uses to measure business health, ensuring metrics stay aligned with evolving strategic priorities.
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.
Build and maintain dashboards, reports, and data models that make key business metrics accessible, accurate, and trustworthy across the organization.
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.
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.
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.
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.
Document agent capabilities, limitations, and intended use cases so stakeholders know when to trust outputs and when to escalate or verify.