AI Transformation Lead

Xplor•Dallas, TX

8h•$150,000 - $160,000•Remote

About The Position

Join our Xplor Pay team as AI Transformation Lead in the United States to make a real impact every day. We say that because we know that every conversation we have, every code line we write and every interface we design is another opportunity for us to elevate everyday life experiences for our customers and the people and communities they serve. Reporting into the Chief Product Officer, you will help us define, own, and execute Xplor's artificial intelligence strategy, bridging business objectives, product vision, and technical capabilities to ensure AI investments drive measurable value.

Requirements

8 to 12 or more years of experience in strategy, product, data, technology, or consulting roles
Demonstrated experience leading AI, data, or advanced analytics initiatives from strategy through to execution
Strong understanding of AI and ML concepts, generative AI, and data-driven systems, with technical depth that allows you to engage meaningfully without needing to write code daily
Proven ability to influence senior stakeholders and operate confidently at the executive level
Experience translating complex business problems into scalable, pragmatic AI solutions
Ability to establish and maintain governance frameworks covering transparency, security, and regulatory compliance

Nice To Haves

Experience working in highly regulated or complex business environments
Familiarity with MLOps practices and the tooling ecosystem around LLMs and generative AI
Track record of managing AI vendor relationships and making informed build vs. buy decisions
Experience driving organizational change management and building AI literacy across non-technical teams
Exposure to the payments, fintech, or vertical SaaS industry

Responsibilities

Defining and maintaining a clear, company-wide AI strategy aligned with business goals and long-term roadmap, including identifying high-impact use cases across products, operations, risk, customer experience, and internal workflows
Owning the AI initiative portfolio, including prioritization, sequencing, and resourcing to ensure solutions are pragmatic and scalable
Translating business problems into AI opportunities and driving pilots from concept to production, with a focus on measurable outcomes
Partnering closely with Product, Engineering, Data Science, Security, Legal, and Compliance teams to deliver AI solutions embedded into core workflows
Acting as the primary interface between executive leadership and technical teams for AI-related decisions
Establishing AI governance frameworks covering transparency, security, and regulatory compliance, and ensuring responsible use of generative AI, machine learning, and automation technologies
Monitoring evolving AI regulations and industry standards, adapting strategy as the landscape changes
Building internal AI literacy through frameworks, playbooks, and best practices, and influencing a culture shift toward AI-driven decision-making and automation
Evaluating build vs. buy decisions, managing key AI vendor relationships, and staying current on AI trends, platforms, and tooling including GenAI, LLMs, and MLOps