AI Transformation Lead at Payoneer

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Full Time

Start Date

Immediate

Expiry Date

27 Apr, 26

Salary

0.0

Posted On

27 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Transformation, Project Management, Stakeholder Management, Analytical Mindset, Value Tracking, ROI, Governance, Automation, Data Dependencies, Cross Functional Initiatives, Operational Delivery, MVP, Complex Initiatives, Risk Management, KPI Definition, Adoption Metrics

Industry

Financial Services

Description

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. Israel Hybrid Full-time We are building a distributed AI Transformation Network to execute and scale AI across the organization. As an AI Transformation Lead, you will own AI execution and value realization within a specific business or platform domain. What you'll do: Own and manage the end to end AI transformation roadmap for your domain Drive AI initiatives from MVP to scale, ensuring production readiness and adoption Apply structured lifecycle management from ideation through operationalized capability Track, validate, and report AI value across efficiency, quality, and cost savings Define KPIs, success criteria, and adoption metrics per initiative Ensure reuse of AI components, agents, prompts, and patterns across domains Enforce AI standards, governance, and paved execution paths Surface risks, dependencies, and scaling blockers early and proactively Who you are: Proven experience in PMO, FinOps, Transformation Office, or Value Office roles Demonstrated ownership of complex, cross functional initiatives with measurable outcomes Solid understanding of AI concepts, including automation, agents, models, and data dependencies Experience moving initiatives from pilot or MVP into scaled, operational delivery Strong analytical mindset with experience in value tracking, ROI, or benefits realization Excellent stakeholder management and execution discipline Ability to operate with ambiguity while maintaining structure and accountability Advantage: Hands on experience working with AI, automation, or data driven products Background in platform, operations, or large scale transformation programs Experience defining standards, playbooks, or governance frameworks #LI-AG2 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.

Responsibilities

The AI Transformation Lead will own and manage the end-to-end AI transformation roadmap for their domain, driving AI initiatives from MVP to scale. They will track, validate, and report AI value across efficiency, quality, and cost savings.