Head of Business Optimization

hace 2 días


Santiago, Chile dLocal A tiempo completo

Join to apply for the Head of Business Optimization role at dLocal Why should you join dLocal?dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets.By joining us you will be a part of an amazing global team that makes it all happen, in a flexible, remote‑first dynamic culture with travel, health and learning benefits, among others. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer‑centric, and if this sounds like you, we know you will thrive in our team. What’s the opportunity? We’re looking for a Head of Business Optimization – a data‑driven leader who can turn complex processing economics into smarter decisions, higher margins, and lasting competitive advantage. In this role, you’ll own the strategy to optimize dLocal’s total processing cost per transaction, leading a global team that analyzes performance across markets, drives automation, and partners with Product, Finance, Country Managers, and Technology to unlock efficiency at scale. If you love digging into data, automating what others do manually, and spotting smart levers that move millions in margin, this role is for you. What will you be doing? Processing Strategy & Cost Efficiency Own the global strategy to reduce total processing costs across payment flows. Lead continuous optimization of acquirer pricing, scheme fees, interchange, microservices, and APM economics. Maintain and evolve dLocal’s Processing Cost Database (Cost Manager) to ensure transparency and traceability. Build methodologies and standards for automated cost analysis across markets. Define annual cost‑saving targets together with Country Managers, Finance, and Operations. Analytics, Insights & Automation Build and maintain cost baselines per market and per cost component to enable smarter pricing and margin strategies. Develop benchmarks and comparative analyses across countries to surface new optimization opportunities. Automate dashboards, time‑series reports, and KPI monitoring to eliminate manual work. Provide actionable insights to Commercial, Product, and Operations teams for deal structuring and network optimization. Continuously enhance the Processing Cost Dashboard to enable self‑service access for internal stakeholders. Cross‑Functional Leadership Excellent interpersonal skills, with a proven ability to foster trust and collaboration with key stakeholders across all levels of the organization. Partner with Product and Engineering to integrate efficiency metrics (retry logic, network tokens, ABU, microservices) into cost and conversion models. Support Business Assurance and Accounting with monthly reconciliations and adjustments. Technology & Tooling Lead the adoption of BI, automation, AI, and ML tools that improve forecasting, monitoring, and financial accuracy. Continuously evolve the Processing Cost Dashboard for self‑service analytics across teams. Team Leadership Build and scale a global, high‑performing analytics team. Drive career development, mentorship, and succession planning. Integrate new analytical roles, including Data Science capabilities. What skills do you need? Degree in Data Science, Computer Engineering, Finance, Economics, or related field (MBA preferred) Minimum 7+ years’ experience in payments, financial services, or cost optimization roles Deep understanding of payment processing economics: interchange, scheme fees, acquirer pricing, and transaction routing Proven track record of cost reduction and margin improvement initiatives in PSP or acquiring environments Strong analytical and financial modeling skills Experience with automation and AI‑driven reporting tools preferred Excellent communication and stakeholder management skills, with the ability to translate data into executive insights Leadership experience in cross‑functional, global environments Excellent organizational and multitasking abilities, thriving in fast‑paced, ever‑changing environments People’s Manager experience, and a proven ability to energise, motivate and direct a high‑performance team What do we offer? Remote work: work from anywhere or one of our offices around the globe Flexibility: we have flexible schedules and we are driven by performance Fintech industry: work in a dynamic and ever‑evolving environment, with plenty to build and boost your creativity Referral bonus program: our internal talents are the best recruiters – refer someone ideal for a role and get rewarded Learning & development: get access to a Premium Coursera subscription Language classes: we provide free English, Spanish, or Portuguese classes Social budget: you’ll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections dLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back For people based in Montevideo (Uruguay), 55% of the monthly attendance at the office is required. This requirement does not apply to IT and Fraud roles. Additional information Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us. We will review your CV and keep you posted by email at every step of the processAlso, you can check out our webpage, Linkedin, Instagram, and Youtube for more about dLocalWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr



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