Csdisco

AI Transformation Lead

Austin, TX · Staff+

No sponsorshipDetected 14 days ago

PythonSQLData AnalysisLLMsStakeholder ManagementCustomer SuccessCommunication

About the role

This role operates in the grey space between business process and technology and will lean heavily on hands-on technical skills and translating business processes into scalable, AI-enabled solutions.
Our scalable, integrated solution enables legal departments to easily collect, process and review enterprise data that is relevant or potentially relevant to legal matters.
We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Partner with leaders and process owners across business teams to identify high-impact AI opportunities
Translate business workflows into AI-enabled solutions (automation, augmentation, decision support)
Develop business case and ROI models for AI investments
Personally build and deploy AI-powered workflows using tools such as Claude Code/Cowork, Workato, and Amazon Bedrock
Design and implement prompt engineering strategies and reusable templates
Create repeatable frameworks and playbooks to scale responsible, secure AI adoption.
Implements AI testing strategy using AI testing frameworks to ensure continuous quality improvement
Build AI literacy and act as an internal evangelist to drive an "AI-first" mindset across the company through workshops, office hours and self-service resources
DISCO is seeking an AI Transformation Lead to define and operationalize the use of artificial intelligence across the enterprise.
This individual will partner cross-functionally with business leaders and process owners to identify, design, and implement AI-driven solutions that enhance productivity, improve decision-making, and drive measurable business outcomes.

8-12 years of experience in consulting, operations, or technology roles
Proven track record of driving cross-functional initiatives and technology-enabled process transformation
Hands-on experience implementing AI/automation solutions with production-grade testing in a business setting
Experience driving measurable business outcomes (revenue growth, cost reduction, time savings) through technology initiatives
Strong systems thinking and ability to map complex workflows
Working knowledge of modern AI tools (LLMs, Agentic frameworks, prompt engineering, workflow automation)

Authorization to Work in the U.S.: Candidates must be legally authorized to work in the United States without sponsorship now or in the future.

This listing is sourced directly from Csdisco's careers page and normalized into a canonical job model.