What will I be doing?
- Data Strategy and Leadership: Develop and implement a comprehensive data strategy that supports overall business objectives and ensures alignment with company goals. Champion the strategic vision for data usage and analytics, promoting adoption and understanding across all levels of the organization.
- Strategic Data Architecture Oversight: Guide and oversee the design and optimization of robust, scalable data architecture, ensuring data availability, integrity, and security. AI-Driven Data Analytics and Insights: Integrate AI and machine learning models into analytics solutions to enhance predictive capabilities and deliver actionable insights. Leverage AI-driven tools to automate data processing, improve decision-making, and identify emerging trends and opportunities. Collaborate with cross-functional teams to ensure AI models align with business objectives and demonstrate measurable impact.
- Business-Driven Data Analytics: Lead the creation and continuous improvement of analytics solutions to deliver actionable insights to stakeholders. Work closely with business, especially Product teams, to identify and prioritize data-driven opportunities and effectively demonstrate measurable business impact.
- Executive Stakeholder Management: Regularly engage with senior management, including C-Level and Heads of Product, to present strategic insights, report on initiative progress, and showcase clear impacts on the business. Effectively manage expectations and articulate the strategic value delivered by data initiatives.
- Vendor and Cost Management: Evaluate and manage vendor relationships, ensuring efficient use of external partnerships. Oversee and optimize data infrastructure costs, focusing on cloud services efficiency in collaboration with Platform leadership.
- Data Governance, Security, and Compliance: Develop and enforce robust data governance frameworks to maintain data quality, compliance, and security. Collaborate closely with InfoSec to ensure data security standards and compliance with privacy regulations are consistently upheld.
What skills do I need?
- Bachelor's degree in Computer Science, Information Systems, Data Science, or related field. Master's degree preferred.
- Deep understanding and familiarity with AWS and GCP services, especially at a strategic oversight level.
- Demonstrated success in leading strategic data initiatives, ideally in cloud migration contexts.
- Proven track record managing executive-level stakeholders and effectively communicating complex data initiatives clearly and persuasively.
- Exceptional skills in fostering team cohesion, collaboration, and breaking down functional silos.
- Experience in implementing AI and machine learning solutions to drive business insights and operational efficiency.
- Strong knowledge of AI frameworks, tools, and platforms, with a focus on integrating them into existing data ecosystems.
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What We Do
dLocal started with one goal – to close the payments innovation gap between global enterprise companies, and customers in emerging economies. We have over 900 payment methods, in more than 40 countries.
With the ability to accept local payment methods and facilitate cross-border fund settlement worldwide, our merchants reach billions of underserved consumers in the high-growth markets of Africa, Asia, and Latin America. dLocal offers the ideal payment solutions for global commerce:
Payins: Accept local payment methods
Payouts: Compliantly send funds cross-border
Defense Suite: Manage fraud effectively
dLocal for Platforms: Unify your platform’s payment solution
Local Issuing: Localize payments for your gig-economy workers, suppliers, and partners







