RingCentral

Senior Manager, Data Science – Data Engineering

RingCentral

full-time

Posted on:

Location Type: Remote

Location: Germany

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Job Level

Senior

Tech Stack

AWSETLHadoopOracle

About the role

  • Lead, mentor, and grow a multidisciplinary EU team of data scientists and data engineers
  • Foster a culture of innovation, collaboration, and accountability
  • Partner with cross-functional stakeholders across product, sales, marketing, and customer success
  • Design and deploy customer intelligence models, including upsell and cross-sell propensity models and customer churn prediction models
  • Develop and enhance pricing models to optimize revenue and customer value
  • Drive experimentation, model validation, and continuous improvement
  • Oversee the design, development, and maintenance of scalable ETL pipelines
  • Ensure high standards of data quality, reliability, and observability
  • Manage large-scale data systems and architectures across modern platforms
  • Own and evolve the internal customer intelligence platform (RingIQ)
  • Leverage and optimize a modern data stack including Oracle, Hadoop, Snowflake, Databricks, and AWS ecosystem
  • Evaluate and integrate emerging AI/ML technologies and tools
  • Ensure all data practices comply with GDPR and EU data protection regulations

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
  • 10+ years of experience in data science, data engineering, or related roles
  • 3+ years of experience managing high-performing technical teams
  • Strong expertise in machine learning, statistical modeling, and customer analytics
  • Hands-on experience with modern data platforms (Oracle, Hadoop, Snowflake, Databricks, AWS)
  • Proven experience building and scaling ETL pipelines and data infrastructure
  • Deep understanding of GDPR and data privacy frameworks in the EU
  • Excellent communication and stakeholder management skills
Benefits
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data sciencedata engineeringmachine learningstatistical modelingcustomer analyticsETL pipelinesdata infrastructurecustomer intelligence modelspricing modelsdata quality
Soft Skills
leadershipmentoringcollaborationaccountabilitycommunicationstakeholder managementinnovationcontinuous improvement