Principal AI Enablement Lead

Stealth • Texas Metropolitan Area
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AI Summary

Seeking a Principal Technical Product Manager to transition into a Director of AI Enablement role, leading AI adoption and integration across the organization. This role involves identifying high-potential AI use cases, acting as an internal thought leader, and driving the development and deployment of AI solutions. Requires strong understanding of AI/ML, experience in enterprise transformations, and cross-functional leadership.

Key Highlights
Lead AI strategy and operational transformation across the company.
Identify, develop, and deploy high-impact AI use cases, including LLMs and generative AI.
Drive AI adoption, cultural change, and establish governance frameworks.
Key Responsibilities
Define and lead AI strategy across the company.
Partner with senior leaders to define and execute the company-wide AI operational transformation strategy.
Lead executive reviews of AI outcomes to inform strategy and investment decisions.
Develop and lead the execution of the overall AI Transformation roadmap for our company.
Spearhead the deployment and integration of advanced AI and machine learning capabilities across the company, embedding tools such as LLMs and generative AI into critical processes.
Identify and drive high-impact AI use cases.
Partner with business leaders across functions to surface, evaluate, and prioritize AI opportunities aligned with strategic goals.
Translate business challenges into scalable AI/ML solutions that drive revenue, efficiency, and customer engagement.
Focus on the highest-impact use cases by assessing feasibility, value potential, and strategic alignment.
Lead cross-functional teams to scope, validate, and launch AI solutions with measurable ROI.
Use rapid experimentation through MVPs or low-code prototypes to quickly test, learn, and scale successful use cases.
Collaborate closely with our AI Solutions Architect to design, deploy, and operationalize AI solutions enterprise-wide.
Maintain an enterprise AI use case portfolio, including business case, feasibility, and implementation roadmap.
Develop AI performance and accountability models.
Design and implement frameworks and KPIs to measure business value from AI initiatives.
Define the AI Governance Framework and lead the Governance / Enablement working group to enable AI adoption across our company safely, with minimal friction & highest impact.
Create dashboards and reporting structures for AI performance monitoring.
Partner with finance, legal compliance, and data teams to align AI measurement with enterprise standards.
Champion AI change management and cultural adoption.
Define the AI Cultural framework and champion the AI mindset.
Drive change management and adoption of deployed AI solutions.
Create tailored education materials, quick-reference guides, and enablement content that resonate with leaders and their teams, ensuring clarity, relevance, and impact.
Deliver engaging presentations, demos, and coaching sessions to leadership and their staff, translating complex technology into business-relevant insights.
Set up and lead a network of cross departmental AI Champions to scale adoption across the organization.
Technical Skills Required
AI/ML technologies Data architecture Cloud platforms (Azure, AWS, GCP) LLMs Generative AI
Benefits & Perks
Relocation assistance
Flexible hybrid onsite in Austin TX (Summer 2026)

Job Description


Location: Remote - USA

Reports To: VP of Business Operations

Job Type: Full-time


*This role will begin remotely and will transition to flexible hybrid-onsite in Austin TX sometime in Summer of 2026.


*This role is eligible for relocation


Overview:

We are looking for a Principal Level Technical Product Manager who is interested in transitioning into an in-house Principal or Director of AI Enablement. This person will lead the adoption, impact, and integration of AI across our organization. This person will be responsible for identifying and prioritizing high-potential AI use cases both existing and emerging by deeply understanding operations and core processes. They will serve as the internal thought leader on AI trends and capabilities, educating teams on what’s possible and helping them envision how AI can enhance quality, speed, and labor productivity. This includes conducting proactive value stream mapping to uncover opportunities for automation, efficiency gains, and better quality output.


This individual will also play a hands-on role in turning ideas into action by developing MVPs or leveraging low-code tools and coordinating closely with technical partners to formally build and deploy solutions. They will be accountable for driving adoption of high-impact tools and tracking their results through a robust, evolving measurement framework. This role is central to embedding AI into the way we work ensuring it becomes a sustainable, value-generating capability across the company


Responsibilities:


Define and lead AI strategy across the company

  • Partner with senior leaders to define and execute the company-wide AI operational transformation strategy; Lead executive reviews of AI outcomes to inform strategy and investment decision
  • Develop and lead the execution of the overall AI Transformation roadmap for our company
  • Spearhead the deployment and integration of advanced AI and machine learning capabilities across the company, embedding tools such as LLMs and generative AI into critical processes.


Identify and drive high-impact AI use cases

  • Partner with business leaders across functions to surface, evaluate, and prioritize AI opportunities aligned with strategic goals
  • Translate business challenges into scalable AI/ML solutions that drive revenue, efficiency, and customer engagement
  • Focus on the highest-impact use cases by assessing feasibility, value potential, and strategic alignment
  • Lead cross-functional teams to scope, validate, and launch AI solutions with measurable ROI
  • Use rapid experimentation through MVPs or low-code prototypes to quickly test, learn, and scale successful use cases
  • Collaborate closely with ourl AI Solutions Architect to design, deploy, and operationalize AI solutions enterprise-wide
  • Maintain an enterprise AI use case portfolio, including business case, feasibility, and implementation roadmap


Develop AI performance and accountability models

  • Design and implement frameworks and KPIs to measure business value from AI initiatives
  • Define the AI Governance Framework and lead the Governance / Enablement working group to enable AI adoption across our company safely, with minimal friction & highest impact
  • Create dashboards and reporting structures for AI performance monitoring
  • Partner with finance, legal compliance, and data teams to align AI measurement with enterprise standards


Champion AI change management and cultural adoption

  • Define the AI Cultural framework and champion the AI mindset
  • Drive change management and adoption of deployed AI solutions
  • Create tailored education materials, quick-reference guides, and enablement content that resonate with leaders and their teams, ensuring clarity, relevance, and impact
  • Deliver engaging presentations, demos, and coaching sessions to leadership and their staff, translating complex technology into business-relevant insights
  • Set up and lead a network of cross departmental AI Champions to scale adoption across the organization


Qualifications:


  • Bachelor’s degree in computer science, Information Systems, Business Administration, or a related field—or equivalent practical experience
  • 5+ years of experience in consulting, technology enablement, digital transformation, or related field.
  • Experience leading enterprise-wide transformations, and defining the strategy & deployment from scratch
  • Experience partnering with business, product, marketing, customer service, and/or operations teams to deliver AI-powered solutions
  • Experience leading automation, process re-engineering, or digital innovation initiatives using AI or analytics.
  • Strong understanding of AI/ML technologies, data architecture, and cloud platforms (e.g., Azure, AWS, GCP)


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