Senior Manager, Data Science – Enterprise AI

October 14

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CrowdStrike

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Cybersecurity • SaaS • Artificial Intelligence

CrowdStrike is a cybersecurity company that provides cloud-based security services to stop breaches. It is recognized as a leader in endpoint protection, identity and cloud security, and managed detection and response. CrowdStrike's platform, Falcon, integrates artificial intelligence to offer real-time visibility, detection, and protection against sophisticated cyber threats. The company is lauded for its effectiveness in securing networks and data, making it a trusted partner for businesses worldwide.

5001 - 10000 employees

Founded 2011

🔒 Cybersecurity

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• Lead, mentor, and develop a team of data scientists, fostering collaboration, innovation, and delivery excellence. • Partner with business leaders across the enterprise to define priorities, shape data-driven strategies, and align analytics initiatives with organizational objectives. • Oversee the development of predictive models, advanced analytics, and automation solutions that improve forecasting, retention, financial planning, and operational performance. • Guide the use of enterprise data from Snowflake and other Data Lake solutions to ensure data is effectively extracted, transformed, and applied to key business initiatives. • Drive the creation of impactful dashboards and visualizations in Tableau, ensuring insights are accessible and actionable for executives and functional leaders. • Present findings, trends, and predictive model outcomes to senior stakeholders, translating complex analytics into clear recommendations. • Champion data governance, quality, and compliance standards in analytics and reporting. • Stay current with trends in AI, ML, and business analytics, identifying opportunities for innovation and automation across the organization.

🎯 Requirements

• 10+ years of experience in data science, predictive analytics, and AI, with at least 3+ years in a people management role leading high-performing teams. • Proven track record of managing and mentoring data science professionals, balancing technical excellence with business impact. • Expertise in Python, R, or SQL for data manipulation, statistical modeling, and machine learning. • Hands-on experience with Snowflake or other cloud-based Data Lake solutions for enterprise data processing. • Strong proficiency in Tableau (preferred BI tool) for data visualization and reporting. • Demonstrated ability to communicate complex findings to executive leadership and business stakeholders in a clear, actionable manner. • Experience partnering with multiple business units (Sales, Finance, Customer Success, Operations) to drive analytics adoption and strategy. • Strong understanding of business KPIs, forecasting methods, customer segmentation, and operational analytics. • Ability to oversee large-scale enterprise data initiatives while ensuring scalability, efficiency, and security. • Excellent storytelling and communication skills, with the ability to align data science strategy to enterprise objectives.

🏖️ Benefits

• Remote-friendly and flexible work culture • Market leader in compensation and equity awards • Comprehensive physical and mental wellness programs • Competitive vacation and holidays for recharge • Paid parental and adoption leaves • Professional development opportunities for all employees regardless of level or role • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections • Vibrant office culture with world class amenities • Great Place to Work Certified™ across the globe