Director, Data Quality Analysis

4 weeks ago

Canada BeInCrypto Full time

## WHAT YOU’LL DO:
????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.

## WHAT YOU'LL BRING:
????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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