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 worlds underserved businesses to a rising global economy. Were a community with over 2500 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 workflowsincluding everything from global payments and compliance to multi-currency and workforce management to providing working capital and business intelligencewe give businesses the tools they need to work efficiently worldwide and grow with confidence.

Rolesummary:

We are looking for anAI Enablement TechLeadto lead the development of AI-native data capabilities and drive the adoption of AI across analytics workflows.
This role is part of theAnalytics & AI Enablementgroupwithin the data departmentandis responsible forestablishingthe foundationaldata 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 datalayersandtaking 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 anda strong foundationin data and analytics.

Hybrid

Full-time

What youll do:

• Define and buildAI-ready data foundations including semantic layersoptimizedfor 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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