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Sr. Manager, Data Science- Enterprise AI (Remote)

CrowdStrike
USA CA Remote, United States, United StatesRemotefull_timeVerifiedPosted 14 Oct 2025
💰 $220,000/yr($145,000/yr$220,000/yr)

About the role

As a global leader in cybersecurity, CrowdStrike 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 CrowdStrike 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 CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers 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.

About the Role:
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.


What You'll Do:

  • 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.

What You'll Need:

  • 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.

Bonus Points:

  • F

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Company

CrowdStrike

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