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

CrowdStrike•New York City, NY

10d•$160,000 - $250,000•Hybrid

About The Position

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.

Requirements

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, schema registries, metadata platforms, or semantic layers
Experience with modern cloud-native data ecosystems (e.g., Kafka, Spark, Flink, data lake/lakehouse architectures, distributed systems)
Solid design and problem-solving skills, with a clear passion for engineering excellence, quality, security, and performance
Proven ability to influence and partner across organizational boundaries. Building trust, articulating value, and driving alignment with teams you don't directly control
Excellent communication skills with the ability to present complex technical concepts clearly to engineers, data scientists, product managers, and senior executives
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

Responsibilities

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

Benefits

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
health insurance
401k
paid time off