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Director Data and Analytics
at Ripple
7 months ago | 486 views | 1 applications

Director Data and Analytics

Per year
$116,000 To $150,000

About the company

Our team is working on the next generation of crypto solutions. Whether you are looking for a role as a Blockchain Software Engineer in San Francisco, a Partner Engineer in London or a Sales Representative in Singapore, Ripple is the place to build something transformative.

Job Summary


📍Co-lead the development and implementation of a comprehensive data and analytics strategy aligned with Ripple's objectives and goals. 📍Lead and manage a team of data analysts, engineers, and scientists. 📍Co-develop and maintain data governance policies and procedures with key partners to ensure compliance with relevant regulations and industry standards. 📍Play a critical role in defining the data architecture and a system design that will guarantee real-time data availability, consistency, and integrity. 📍Work with cross-functional teams including product, engineering, marketing, finance, Revenue 📍Operations to understand their needs. 📍Stay on top of the emerging trends to drive innovation and improvement. 📍Foster a data-driven culture across the organization by promoting data literacy and the use of data-driven decision frameworks. 📍Role model and cultivate operational excellence by monitoring and reporting on all key engineering metrics related to data and analytics. 📍Achieve best-in-class customer experience at optimal infrastructure cost. 📍Support, grow, and mentor Engineering Managers and individual contributors in your org. 📍Be responsible for budgeting within the department and resource planning to meet project objectives.


📍15 years of experience in a Data and analytics environment, 10+ years of engineering management experience in building and scaling a data infrastructure team operating high-scale cloud infrastructure 📍Proven technical background and large-scale practical experience with Databricks, NoSQL, ETL, Tableau, reporting and self-serve analytical tools DevOps and test frameworks. 📍Proven experience with various data modeling techniques. 📍Solid understanding of data integration, quality, and governance. 📍Experience building multi-petabyte data warehouses and understanding of the challenges building analytical solutions for both internal and external customers. 📍Understanding of AI/ML technologies and experience building experimentation frameworks. 📍Proficiency in programming languages such as Python, SQL, AWS data solutions and offerings 📍Excellent communication skills and ability to empower and inspire teams. 📍Excellent communication and presentation skills, with the ability to articulate sophisticated data topics into easy to understand insights for non-technical audiences. 📍The capability to synthesize inputs from engineering teams and develop a streamlined long-term roadmap, that can adjust and realign at the speed of the business. 📍Bachelor's degree in Computer Science, Engineering or related field, equivalent training, or work experience.

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