AI Business Partner

Atlas Energy Solutions•Austin, TX

2h•Onsite

About The Position

The AI Business Partner acts as the front door between business units and the AI builders/developers, helping shape AI use cases, requirements, and success criteria before anything is built.

Requirements

Bachelor’s degree (in disciplines relevant to business process improvement or technology adoption) or equivalent practical experience/training.
Strong communication and facilitation skills; Initiative to ask clarifying questions and manage ambiguity
Eligible to work in the U.S. without future sponsorship.
Willingness to work and travel to assigned business locations / sites, as needed.
Ability to work in a cross‑functional environment while embedded with a business unit and reporting through Technology.

Nice To Haves

Experience (internship, project, or coursework) with process mapping, continuous improvement, operations analytics, or change management.
Familiarity with AI productivity tools (e.g., copilots/assistants) and an interest in responsible, compliant usage aligned to guardrails.
Familiarity with Microsoft tools such as Power Platform, Copilot Studio, and collaboration platforms (e.g., Teams and SharePoint)
Completion of relevant AI-focused certifications and/or accredited boot camps.
Demonstrated experience through relevant personal projects with publicly shareable artifacts (e.g., GitHub repositories, demos, technical write-ups, or case studies).

Responsibilities

Lead discovery with business stakeholders to clarify problem statements, users, workflows, constraints, and desired outcomes.
Translate business needs into actionable requirements (success metrics, data needs, integration points, acceptance criteria) and support prioritization.
Partner with AI Developers to shape solution approach, manage tradeoffs (scope, risk, cost), and ensure readiness for build and release.
Drive adoption and change management (communications, enablement, stakeholder feedback loops) to maximize realized value.
Measure and report impact and track ROI from pilot through scale.
Ensure responsible and compliant AI usage by reinforcing approved tools, data handling, and governance guardrails; coordinate privacy/security reviews and escalate risks and exceptions as needed.