AI Enablement Tech Lead (Data & Analytics)
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Role summary:
We are looking for an AI Enablement Tech Lead to lead the development of AI-native data capabilities and drive the adoption of AI across analytics workflows.
This role is part of the Analytics & AI Enablementgroup within the data department and is responsible for establishing the foundational data and AI capabilities that support advanced use cases, including “chat with data,” autonomous analytics, and AI-driven decision-making.
You will act as a technical and strategic bridge between data, engineering, and AI platform teams - owning the design of AI-ready data layers, and taking a significant part in the specification and orchestration of data-ready agent solutions and analytical workflows, from ideation to production.
You are a hands-on builder and a transformation leader, with proven experience delivering AI solutions and a strong foundation in data and analytics.
Hybrid
Full-time
What you’ll do:
- Define and build AI-ready data foundations, including semantic layers optimized for LLM and AI consumption
- Design and standardize AI-native analytics workflows, combining data modeling, LLMs, and orchestration frameworks
- Partner with Data Engineering and AI platform teams to shape infrastructure, tooling, and data interfaces for AI use
- Drive experimentation with new AI capabilities and rapidly iterate from POC to scalable solutions
- Establish best practices for AI usage in analytics, including prompt design, evaluation, monitoring, and governance
- Act as a technical leader and mentor, driving AI knowledge and adoption across the analytics community
Who you are?
- 5+ years of experience in data roles (Analytics / BI / Data Modeling or similar)
- Proven hands-on experience building and deploying AI solutions (GenAI, LLMs, agents, or ML systems)
- Strong understanding of how data modeling and semantic layers support AI applications
- Experience designing end-to-end AI workflows, including data preparation, orchestration, and production deployment
- Familiarity with modern AI stack (LLMs, vector databases, embeddings, orchestration frameworks)
- Experience taking AI initiatives from POC/MVP to scalable production systems
- Strong problem-solving skills and ability to translate business needs into AI-driven solutions
- Excellent collaboration skills, working across Data, Engineering, and AI teams
- Comfortable operating in ambiguity and driving innovation in a fast-evolving space
- Advantage: Experience building data solutions tailored for agent-based consumption (e.g., “chat with your data” use cases), including preparing structured, reliable, and accessible data layers for AI agents.
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The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.