cyberhaven - Manager, Data Protection Analysts (Americas)
Requirements
• 7+ years of experience working with data protection products, including 2+ years leading or managing technical teams (security analysts, consultants, or managed services) • Proven track record of hiring, developing, and retaining high-performing technical talent, and of scaling a team through growth • Deep expertise in DLP, Insider Threat, and CASB solutions, with familiarity with SIEM/SOAR integrations (including those adjacent to Cyberhaven) • Experience advising on security issues affecting data protection and insider risk, both accidental and malicious • Strong understanding of endpoint protection best practices and of macOS, Linux, and Windows environments • Knowledge of security controls for handling sensitive data types • Experience overseeing technical analysis and the documentation and project management aspects of incident response for data security issues • Familiarity with cloud apps and services; passion for cloud technologies • Familiarity with AI tools such as Claude, Codex and building and developing agents • Experience operating in a SaaS, services, or managed-services delivery model, including managing priorities across multiple customers • Excellent problem-solving and analytical abilities, with both creative and logical thinking • Customer-centric, highly motivated, with strong empathy and focus • Excellent written and verbal communication skills; able to create and deliver management-level presentations and analysis on incident investigations • Effective collaborator in a global, cross-functional team • Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. • AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking.
Responsibilities
• Lead, coach, and develop a team of Data Protection Analysts in the Americas, setting clear goals, giving regular feedback, and building career paths • Recruit, hire, and onboard analysts, and build the team structure, processes, and capacity plans needed to scale with customer growth • Own the quality, consistency, and timeliness of the team’s work across customer engagements, including incident analysis, policy and dataset tuning, forensic investigations, and executive reporting • Establish and maintain playbooks, templates, and best practices for incident investigation, noise and false-positive reduction, and incident-response workflows • Define and track team KPIs (such as response times, customer satisfaction, and risk-reduction outcomes) and report on them to leadership • Serve as an escalation point for complex investigations and a trusted advisor to customer security leaders (CISOs, SOC managers, and insider risk teams) • Partner with clients to develop incident response workflows that map to their security objectives and policies, and guide the team as customers’ data risk strategies mature • Present formal summaries, trend analyses, and realized-value readouts to both technical and non-technical audiences, including executives • Stay current on external DLP, Insider Risk, and CASB market trends, and use those insights to shape team strategy and demonstrate customer value • Collaborate with Cyberhaven’s Product and Development teams to relay customer and analyst feedback, drive requirements, and develop innovative strategies for monitoring and preventing data loss • Work with Sales, Customer Success, and Support to ensure smooth handoffs and consistent customer experiences • Work with Service leaders in other regions to align methodologies, share learnings, and operate as one global team
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