Sr. Manager, Engineering - Semantic Data Modeling Framework (Hybrid)

About this 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. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. 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 proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. 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: CrowdStrike's Data Platform team is expanding on the foundational infrastructure that powers the world's most advanced cybersecurity platform. We are seeking a Sr. Engineering Manager to lead the team responsible for the development, evolution, and enterprise-wide adoption of our ontology-based semantic data modeling framework. This is a critical system that enables consistent, interoperable, and intelligence-rich data representations across CrowdStrike's product portfolio, 3rd party and customer data modeling.

In addition to being a deeply technical leadership role, success will require more than strong engineering execution. We are looking for a leader who can build excitement, drive adoption, and form strong partnerships with internal product teams, data producers, data consumers, security researchers, AI/ML teams, and customer-facing stakeholders. You will help make semantic modeling a practical, scalable, and widely adopted capability across CrowdStrike’s data ecosystem.

What You'll Do: • Lead and grow a high-performing engineering team responsible for designing, building, and maintaining CrowdStrike's ontology-based semantic data modeling framework

• Define and own the end-to-end architecture for semantic modeling capabilities, including ontology design, schema management, validation, versioning, and integration with downstream data systems

• Drive the development of scalable, production-grade tooling and services that enable teams to define, discover, extend, and govern semantic data models across CrowdStrike's data ecosystem

• Establish engineering best practices around ontology governance, model lifecycle management, data quality, interoperability, and extensibility

• Partner with Data Platform architecture leadership to ensure alignment with cloud-native infrastructure, graph databases, streaming systems, and data lake/lakehouse architectures

• Evaluate and integrate emerging technologies and standards with a pragmatic, value-driven approach

• Define and execute a roadmap that drives measurable adoption of the semantic data modeling framework across CrowdStrike engineering

• Serve as the primary advocate and trusted advisor for ontology-based data modeling across the organization by translating complex semantic concepts into clear value propositions for assorted technical and non-technical audiences

• Build deep, consultative relationships with internal customer teams to understand their data modeling challenges, identify high-value use cases, and co-develop solutions that demonstrate framework value

• Develop enablement programs including documentation, training, workshops, office hours, and reference implementations that lower the barrier to adoption

• Create and communicate success metrics, adoption dashboards, and impact narratives to senior leadership

• Proactively identify friction points in the developer experience and prioritize improvements that accelerate time-to-value for adopting teams

• Define and communicate a clear multi-quarter vision and roadmap for the ontology framework, balancing platform innovation with customer-driven priorities

• Partner with product management, data engineering, threat graph, detection engineering, and AI/ML teams to identify high-leverage integration opportunities

• Maintain awareness of industry developments in ontology engineering, semantic technology, knowledge graphs, data mesh/data products, and AI-ready data architectures

• Translate CrowdStrike's cybersecurity domain complexity into well-structured, reusable, and extensible ontological models that improve data consistency, discoverability, and analytical power

• Build, lead, mentor, and develop an international team of engineers and ontology/data modeling specialists

• Foster a team culture of technical rigor, customer empathy, collaboration, and continuous improvement

• Attract and retain top talent through compelling vision, strong engineering culture, and meaningful career development

• Set clear goals, provide regular feedback, and create accountability aligned with both technical delivery and adoption outcomes

What You'll Need: • 10+ years of progressive software engineering experience, with 4+ years in engineering management leading teams of 6+ engineers

• Proven expertise in data modeling, ontology design, semantic modeling, knowledge graphs, or domain-driven data architecture

• Demonstrated experience building and shipping platforms, frameworks, or developer tools that required driving adoption across an engineering organization

• Strong understanding about technologies and standards such as: graph databases (e.g., Neo4j, Neptune, JanusGraph), RDF/OWL/SHACL/SPARQL, sche

Similar jobs

• Sr. Manager, Engineering - Data Analytics Infrastructure (Hybrid) — CrowdStrike · USA - Austin, TX
• Sr. Data Architect — Sharp HealthCare · Chula Vista, CA
• Senior Engineering Manager, Data — Getbuilt · Nashville, TN (Hybrid) or Remote
• Senior Manager - Data Engineering — 3M · Maplewood, Minnesota, United States
• Senior Manager, Data Engineering — Dropbox · Remote
• Senior Manager, Data Engineering — Justworks · New York, New York
• Senior Manager, Data Engineering — Formativgroup · Remote
• Senior Manager, Data Engineering — Fartherfinance · Hybrid - New York, NY