Cyber Risk Analytics & Automation Manager
GSK
5 months ago
Remote friendly (Philadelphia, PA)
United States
IT
The Cyber Risk Analytics & Automation Manager serves as the business product owner for cyber risk data, analytics, and automation capabilities used to drive risk-informed decision making across the enterprise.
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 usrecruitment.adjustments@gsk.com.
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 usrecruitment.adjustments@gsk.com.