Advance Ripple's application development, SaaS operations, business operations, and customer use-case analytics and optimization by leading Data Sciences, Data Engineering, and Data Infrastructure teams.
Requirements
- 12+ years of hands-on data science and engineering development leadership experience, managing managers and teams of data scientists and engineers
- Hands-on experience building highly scalable distributed systems in modern technology stacks
- A propensity for hands-on schema design and data parsing/manipulation/analysis via languages such as SQL and Python, spending time writing and/or reviewing code
- Experience with Agile development with a focus on robust software and database design, scalability, and security
Responsibilities
- Be an ambitious builder, combining your data sciences, software engineering, machine learning, and AI expertise to build and lead high-performing teams that create world-class data infrastructure, platform data services, and application-specific data components and algorithms
- Provide hands-on technical leadership as a role model for delivering outstanding results to our customers
- Own and deliver the roadmaps of multiple programs while driving technical and operational excellence across the engineering organization
- Encourage and drive data and engineering best practices
- Translate technical concepts into tailored content for different audiences, including engineers, business, and technical leaders
- Scale the team by attracting and mentoring great leaders, data scientists, and engineers at various levels of experience
Other
- Mentor and guide the professional and technical development of your team, including managers, data scientists, and engineers
- Have a bias towards action and make decisions quickly after considering competing viewpoints
- Collaborate with stakeholders across Ripple
- Establish team objectives and quarterly plans in alignment with business and organizational goals
- BS in Computer Science or similar
