AI Transformation Lead

DISCO•Austin, TX

About The Position

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. 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. You will serve as the bridge between business functions and technical capabilities, ensuring AI is deployed in practical, high-impact ways across the organization.

Requirements

8–12 years of experience in consulting, operations, or technology roles
Background at firms like McKinsey & Company, Boston Consulting Group, Deloitte, or similar high-performance environments
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
High business acumen across multiple functions (Sales, Marketing, Customer Success, HR, Finance, Ops)
Working knowledge of modern AI tools (LLMs, Agentic frameworks, prompt engineering, workflow automation)
Exceptional stakeholder management and communication skills
Data analysis and visualization skills (SQL, Python, dashboarding tools)
Understanding of AI governance, ethics, and responsible AI practices

Responsibilities

Enterprise AI Strategy & Execution: 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.
Prioritize initiatives based on ROI, scalability, ease of implementation, and alignment with DISCO's strategy.
Build & Deploy AI Solutions: Personally build and deploy AI-powered workflows using tools such as Claude Code/Cowork, Workato, and Amazon Bedrock.
Partner with Business Technology and the AI Innovation Lab, where deeper integration is required, but independently drive lightweight solutions.
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.
Change Management & Enablement: Train and enable teams to adopt AI tools effectively and securely in their day-to-day workflows.
Work in partnership with the AI Governance Team and the AI Champions network to establish best practices, governance, and usage guidelines.
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.
Measurement & Optimization: Define success metrics (time saved, cost reduction, revenue impact).
Continuously iterate on solutions based on feedback and performance data.
Create executive dashboards to track AI adoption and impact.
Conduct post-implementation reviews to capture learnings and improve processes.
Partner with Program Management to communicate the impact of AI to the organization.