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Required BI Team Lead
Tel Aviv, Israel
About us:
A global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, we provide comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy.
About the Role:
The successful BI Team lead, will play a key role in managing and growing a team responsible for delivering impactful data products and solutions.
As a BI Team Lead, you will oversee the personal and professional development of your team, while also being the main point of contact for client-facing data initiatives. Youll drive data strategy and contribute to new initiatives that support cross-company objectives. This role involves collaborating with product managers, business stakeholders, and leadership to design, develop, and maintain scalable analytics solutions. You will also enhance the companys understanding of key business metrics by building automated tools and insightful visualizations in a rich data environment.
You will also be responsible for integrating AI and machine-learning capabilities into BI solutions, including developing automation processes and AI agents to support decision-making.

We're building the data foundation that will power at massive scale. We're looking for a battle-tested Data Engineering Tech Lead who has built and scaled data infrastructure at companies where the bar is exceptionally high.
This is a ground-up, architect-and-build role. You'll own the entire data infrastructure layer - caching, indexing, storage architecture, scalability patterns - and set the standard for how data flows across the organization at scale.
What Youll be Doing:
Own and architect \entire data infrastructure from the ground up - storage, caching, indexing, and platform foundations.
Make the hard technology calls: which databases, caching layers, orchestration systems, and data patterns we adopt - and why - based on scale, performance, and long-term engineering excellence.
Drive data scalability across the engineering organization, partnering closely with platform, backend, and product engineers.
Lead hands-on - you design, you build, you review, you mentor.