Senior Manager, Data Science & Data Engineering

Experienced and strategic Senior Manager of Data Science and Data Engineering to lead our EU-based data team. This role will be responsible for managing and scaling a high-performing team of data scientists and data engineers, driving advanced analytics initiatives, and ensuring robust, compliant data infrastructure across the European region.

The Senior

Manager will brings deep expertise in both data science and data engineering, a strong understanding of GDPR and data governance, and a proven track record of delivering business impact through machine learning models, pricing strategies, and customer intelligence platforms.

Key Responsibilities Leadership &

• Team Management 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 Data Science &

• Advanced Analytics Design and deploy customer intelligence models, including: Upsell and cross-sell propensity models Customer churn prediction models Develop and enhance pricing models to optimize revenue and customer value Drive experimentation, model validation, and continuous improvement Data Engineering &

• Infrastructure 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 Technology &

• Platform Ownership 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 Data Governance &

• Compliance Ensure all data practices comply with GDPR and EU data protection regulations Manage secure access to sensitive customer data Establish best practices in data governance, privacy, and security Qualifications 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 Preferred Qualifications Experience managing geographically distributed teams Familiarity with customer success tools or CRM analytics platforms Exposure to AI initiatives such as generative AI, NLP, or advanced automation Strong business acumen with the ability to translate data insights into strategic decisions RingCentral, Inc. (NYSE: RNG) is a leading provider of global enterprise cloud communications, collaboration, and contact center solutions. More flexible and cost-effective than legacy on-premises systems, the RingCentral platform empowers employees to Work as OneTM from any location, on any device, and via any mode to better serve customers, improving business efficiency and customer satisfaction. The company provides unified voice, video meetings, team messaging, digital customer engagement, and integrated contact center solutions for enterprises globally. RingCentral’s open platform integrates with leading business apps and enables customers to easily customize business workflows. RingCentral is headquartered in Belmont, California, and has offices around the world. RingCentral is an EEO/AA employer.