Cyber Risk Analytics & Automation Manager

SEARGIN IS HIRING! As a dynamic multinational tech company operating in 50 countries, we drive innovation and create projects that shape the future and greatly enhance the quality of life. You will find our solutions in the space industry, supporting scientists in the development of cancer drugs, and implementing innovative technological solutions for industrial clients worldwide. These are just some of the areas in which we operate! Currently, for the new Seargin project, we are looking for Cyber Risk Analytics & Automation Manager. Contract: B2B FTE: full-time Location: Cyber Risk Analytics Product Ownership • Serve as the product owner for cyber risk data and analytics capabilities, including dashboards, analytical models, automation workflows, and decision-support tools. • Define and maintain the product vision, strategy, and multi-year roadmap for cyber risk analytics aligned with organizational cybersecurity and enterprise risk objectives. • Translate business and cybersecurity needs into analytics product requirements and prioritized feature backlogs. Data Storytelling & Risk Communication • Develop compelling data-driven narratives and visualizations that translate complex cyber risk information into clear insights for diverse stakeholders. • Ensure analytics outputs enable stakeholders to quickly understand risk exposure, trends, and recommended actions. • Design dashboards, reports, and analytical outputs that support effective storytelling with data for senior leadership and Board-level audiences. • Establish standards and best practices for communicating cyber risk through data visualization, narrative framing, and decision-oriented analytics. User-Centered Analytics Design • Develop deep understanding of user personas and decision journeys, including: - Business risk owners - Technology leaders - Cybersecurity leadership - Risk and compliance teams - Executive leadership and Board reporting stakeholders • Design analytics products that enable stakeholders to: - Understand cyber risk exposure - Evaluate risk treatment options - Prioritize security investments - Track accountability and risk reduction outcomes Data & Analytics Platform Development • Partner with data engineering and architecture teams to build scalable cyber risk data platforms and analytics pipelines. • Design and implement quantitative risk analytics, metrics frameworks, and statistical models to support risk measurement and decision-making. • Enable advanced analytics capabilities including: - Predictive risk indicators - Control effectiveness analytics - Investment prioritization models - Scenario and impact analysis. Automation & Intelligent Systems • Identify opportunities to apply automation, machine learning, and generative/agentic AI to improve cyber risk analytics and operational efficiency. • Lead the development of automated workflows, intelligent analytics tools, and decision-support systems that scale risk insights across the organization. Cross-Functional Collaboration • Collaborate with cybersecurity engineering, risk management, GRC, enterprise architecture, and business teams to ensure analytics solutions meet operational needs. • Partner with data science and technology teams to deliver robust, scalable analytics capabilities. • Drive adoption and value realization of cyber risk analytics products across stakeholder groups. Risk Transparency & Executive Reporting • Enable clear, defensible risk reporting and assurance for senior leadership and the Board of Directors. • Translate complex technical risk data into clear narratives and insights that support executive decision-making. Requirements • 4+ years of professional experience in analytics, data science, cybersecurity, or risk management roles. • Experience designing and delivering analytical decision-support systems or analytics products. • Experience applying product management principles to analytics or data platforms. • Experience working with quantitative models, statistical analysis, and data-driven decision frameworks. Nice to have: • Strong background in statistics, quantitative analysis, and data modeling. • Experience with data engineering or large-scale data architectures (data lakes, analytics platforms, or big data environments). • Familiarity with machine learning, generative AI, agentic AI, or intelligent automation technologies. • Ability to translate complex analytical insights into clear, actionable business intelligence and narratives. • Experience in or strong interest in cybersecurity, cyber risk management, or technology risk. • Familiarity with cyber risk frameworks, control environments, and risk measurement concepts. • Demonstrated ability to act as the voice of the customer in prioritizing product capabilities. • Strong track record of driving outcomes through cross-functional collaboration. • Ability to define product strategy, roadmap, and feature prioritization in a complex environment. Discover the Power of IT Excellence. Apply! To learn more about Seargin, please visit our web page: www.seargin.com