AI Transformation Enablement Lead

Bridge Business, AI, and Engineering

Role Overview

We are looking for an AI Transformation Enablement Lead to accelerate how our organization uses artificial intelligence to transform the way we work.

This role sits at the intersection of business operations, AI tools, and software development. Your mission is to ensure our company extracts maximum value from the AI platforms we have already built while identifying the data and capability gaps needed to take us further.

You will not be responsible for building production systems. Instead, you will learn them deeply, help teams use them effectively, and translate business needs into scalable technical opportunities.

You will also play a critical role in keeping our development team focused and agile by ensuring that requests coming from the business are well-formed, scalable, and strategically aligned rather than fragmented one-off requests.

If you are obsessed with AI tools, prompt engineering, and helping others unlock new capabilities, this role puts you at the center of our AI transformation.

What You’ll DoBecome the Internal AI Expert

• Master the AI tools, data systems, and internal platforms our company has built
• Continuously explore emerging AI capabilities and experiment with new workflows
• Develop best practices for how AI should be used across the organization
• Document patterns, prompts, and use cases that scale across teams

Drive AI Transformation Across the Business

• Work directly with business leaders to identify opportunities where AI can dramatically improve workflows
• Help teams move from ideas to real AI-enabled solutions using existing tools
• Lead hands-on enablement sessions where employees learn to use AI to solve their own problems
• Foster a culture where AI becomes a daily productivity multiplier

Master Prompt Engineering and AI Workflows

• Develop deep expertise in prompt engineering and AI interaction patterns
• Build reusable prompt frameworks and internal prompt libraries
• Teach teams how to effectively collaborate with AI systems
• Establish standards for reliable and repeatable AI-driven outputs

Translate Business Needs into Scalable Solutions

• Act as the bridge between business teams and developers
• Turn loosely defined operational challenges into structured technical requirements
• Ensure engineering teams receive well-defined, high-leverage requests rather than fragmented ideas
• Identify opportunities where one dataset or system capability can unlock multiple business solutions

Identify Data Gaps that Unlock New Capabilities

• Analyze where current datasets limit what teams can accomplish with AI
• Propose scalable data structures that support multiple use cases
• Work with engineering teams to prioritize high-impact data improvements
• Ensure new data investments generate leverage across the organization

Enable Engineering Agility

• Protect developer focus by filtering and refining incoming ideas from the business
• Convert scattered feature requests into strategic platform improvements
• Help engineering teams understand how tools are actually being used by the business
• Ensure the development roadmap stays aligned with transformation goals

What We’re Looking ForObsession with AI

You are constantly experimenting with AI tools, studying prompt engineering techniques, and pushing systems to see what they can do.

Natural Translator

You are comfortable moving between technical and non-technical conversations and can simplify complex ideas without losing their meaning.

Systems Thinker

You instinctively look for scalable solutions that solve multiple problems rather than building one-off fixes.

Teacher and Enabler

You enjoy helping others succeed with technology and are energized by mentoring people through new tools and workflows.

Curious Builder Mindset

You may not be the person writing production code, but you understand how systems work and love learning how they fit together.

Ideal Background

• Experience working with AI tools such as ChatGPT, Claude, Copilot, or similar systems
• Strong interest in prompt engineering and AI-assisted workflows
• Experience bridging business teams and technical teams
• Background in operations, analytics, consulting, product management, or technical enablement
• Comfortable working with developers and understanding technical architecture

What Success Looks Like

• Teams across the company actively use AI tools to solve problems and improve workflows
• The organization moves faster because employees can prototype solutions themselves
• Developers remain focused on building scalable systems rather than reacting to scattered requests
• Data improvements unlock multiple new capabilities across departments
• AI becomes a core operating layer of the business

Why This Role Matters

Technology alone does not transform organizations.

Transformation happens when people understand how to use powerful tools to rethink how work gets done.

• This role sits at the center of that shift, helping the company move from experimenting with AI to operating as an AI-enabled organization.

The annual salary for this position ranges from $90,000 to $120,000, commensurate with experience.