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

CrowdStrike

75d • $145,000 - $220,000

About The Position

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.

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.

Nice To Haves

• 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, Financial Services, or Enterprise Applications.

Responsibilities

• 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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees