Cyber Risk Analytics & Automation Manager

Key Responsibilities 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. Develop data-driven narratives and visualizations translating complex cyber risk information into clear insights. Ensure analytics outputs enable stakeholders to understand risk exposure, trends, and recommended actions. Design dashboards, reports, and analytical outputs 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. Design analytics products to enable stakeholders to understand risk exposure, evaluate risk treatment options, prioritize security investments, and track accountability and risk reduction outcomes. 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 (e.g., predictive risk indicators, control effectiveness analytics, investment prioritization models, scenario and impact analysis). Identify opportunities to apply automation, machine learning, and generative/agentic AI to improve cyber risk analytics and operational efficiency. Lead automated workflows, intelligent analytics tools, and decision-support systems that scale risk insights. Collaborate with cybersecurity engineering, risk management, GRC, enterprise architecture, and business teams to meet operational needs; partner with data science/technology teams. 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 for executive decision-making. Basic Qualifications (Required) 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. Preferred Qualifications 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. Benefits (if explicitly provided in the job description) Depending on role and internal policies: eligible for bonus and/or awards for exceptional performance. Other benefits may include private healthcare, additional paid days off, life insurance, private pension plan, and fully paid parental leave & care of family member leave. Application instructions If you require an accommodation or other assistance to apply for a job at GSK, contact Recruitment Staff at View email address on click.appcast.io. #J-18808-Ljbffr