October 20
• As the Director of Data you will lead our data strategy, overseeing the development and implementation of data products, governance, and analytics. • Reporting to the CEO and collaborating closely with the CTO and Product team, you will drive the entire product lifecycle and balance immediate needs with long-term scalable growth. • Your role involves simplifying implementation, scaling operations, accelerating launch cycles, and enhancing our products through ML models and AI applications. • You will advance data practices, mentor team members, and contribute to building a world-class company in the Fintech sector. • Act as data captain (lead and persist all the time) within the company, driving our data strategy, including the development and implementation of data products, data management, governance, and data analytics. • Key member of the senior leadership team reporting to CEO and intimate collaboration with CTO and Product to complete the PLC Product Life Cycle) Data lifecycle glue, and when required, a builder that can apply frameworks that balance the short-term needs with the need to build reusable core capabilities for scalable growth over the long term. • Exceptional ability to reduce implementation complexity, scale, and mature delivery operations and accelerate launch cycles. • Define, understand, and test opportunities and levers to improve the product through ML models and applications, and drive ML-modeling roadmaps through insights and recommendations. • Drive the development and deployment of machine learning models and AI applications to enhance our products. • Contribute towards advancing the Data domain at the company, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation, machine learning), improving analytical processes, scaling knowledge and tools, and mentoring other data players.
• + 7 years in data management, governance, and analytics • Experience with delivering global or regional programs for fraud prevention products or dynamic credit underwriting models • Experience with Python, AWS, Cloud Providers, Jupyter Notebooks, and SQL. • Experience in building, operating, and optimizing large-scale data platforms, distributed systems, high-performance, scalable real-time processing architecture, analytics infrastructure, visualizations, data platforms, advanced analytics management and implementation • Experience managing Data teams at scale, including data classification, lineage, quality, metadata ownership and management, provisioning, usage, retention, and change management. • Experience with demand management, QBRs, and OKRs, the operational cadence of dashboards, and periodic business reviews for KPIs to drive decision-making. • Early-stage experience, with an appetite to transform the unknown through discovery into solutions • Being based in Mexico is a plus.
• Performance bonus equivalent to 1-2x monthly amount • ESOP grant equivalent to 2-3x monthly amount • Monthly stipend for medical insurance and utilities • 3 weeks of paid leave • 2 weeks of paternity leave • Work from anywhere! • Structured Independent Development Plan (IDP) and on-the-job training • Business travel stipend (if required)
Apply NowSeptember 27
Lead customer service excellence for Kueski's operations in Mexico.