Description
GSK is seeking a Senior Manager, Risk Intelligence & Decision Support to lead the analytics and decision support elements of the Risk Automation & Intelligence portfolio. This role combines hands-on work with team and stakeholder management, and is critical in enabling leaders at all levels and functions of GSK to rapidly identify, evaluate and make decisions on risk.
Responsibilities:
- Lead a defined area of the capability, including its people, delivery and outcomes.
- Manage delivery against the capability roadmap and escalate blockers early.
- Bring a product management and Agile delivery mindset to the roadmap for risk intelligence and decision support tooling.
- Develop team capability through coaching, review and structured feedback.
- Represent the area in CSO governance and cross-functional forums.
- Own the Key Risk Indicators (KRIs) used across GSK.
- Define and instrument the internal performance indicators that measure the effectiveness and efficiency of the Risk and Compliance programme.
- Build and maintain the data platform underpinning cyber risk intelligence and reporting.
- Work with partner teams to engineer data pipelines that bring risk, control, threat and asset data into a single model.
- Partner with security product teams to identify and leverage the data and telemetry produced by their tools and technologies.
- Develop analytics and models that quantify cyber risk and support prioritisation decisions.
- Build dashboards and reporting for CSO leadership, business units and governance committees.
Requirements:
- Bachelor's degree in Computer Science, Data Science, Cyber Security or Engineering.
- Experience in risk analytics, data engineering or security data science.
- Experience using data visualization and intelligent automation tools to act on data insights.
- Experience applying product management and Agile delivery approaches to a data, analytics or automation roadmap.
- Experience in data modelling and pipeline development.
- Experience developing reports and data visualizations.
- Cyber security experience.
- Experience leading a team or a programme of work.
- Experience managing project delivery against plans, quality standards and timelines.
- Experience managing stakeholder relationships.
Preferred Qualifications:
- Familiarity with modern Risk Operations Centre (ROC) concepts and operating models.
- Experience with continuous controls monitoring.
- Experience with cyber risk quantification methods.
- Cloud data platform experience in Azure, AWS or GCP.
- Relevant certification such as CRISC, CISSP, cloud data or analytics certifications.
- Experience in pharmaceutical, life sciences or another highly regulated industry.
Typical tools and technologies: Python, SQL, Azure data stack, Power BI, Tableau, data pipeline and orchestration tooling.
Benefits:
- Health care and other insurance benefits (for employee and family)
- Retirement benefits
- Paid holidays
- Vacation
- Paid caregiver/parental and medical leave