Sr. Manager, Data Science- Enterprise AI; Remote

Crowd Strike, Inc.

Full time

R24942

As a global leader in cybersecurity, Crowd Strike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed — we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. Our customers span all industries, and they count on Crowd Strike to keep their businesses running, their communities safe and their lives moving forward.

We're also a mission-driven company. We cultivate a culture that gives every Crowd Striker both the flexibility and autonomy to own their careers. We're always looking to add talented Crowd Strikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters?

The future of cybersecurity starts with you.

We are seeking a Sr Manager, Data Science Enterprise AI to lead a team delivering AI-driven insights and predictive analytics that support enterprise-wide business applications. This role will manage and mentor a team of data scientists while partnering closely with leaders across Sales, Finance, Customer Success, and GTM Operations to deliver high-impact analytics solutions and automation initiatives. The Sr Manager will balance technical leadership with business strategy, ensuring the team's predictive models and data-driven insights are translated into clear, actionable outcomes that drive decision-making and operational excellence at scale.

• 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.

• 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.

• Familiarity with cloud platforms (AWS, GCP, Azure) for AI/ML deployments.
• Strong understanding of data governance, compliance, and regulatory reporting.
• Experience managing analytics functions in B2B SaaS,…