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Analytics Manager/Data Manager
Analytics Manager/Data Manager
Analytics Manager/Data Manager
Posted 8 days ago
- London, Greater London
- Any
- External
I'm partnered with a global market leader in re-insurance, global speciality insurance and digital solutions who are looking to add an experienced Head of Data and Analytics to the team.
Develop and implement a comprehensive data and analytics strategy that aligns with the firm's overall business objectives and drives innovation.
Build, mentor, and lead a high-performing team of data professionals, fostering a culture of collaboration, continuous learning, and excellence.
Oversee the design and implementation of advanced analytics models, including predictive modelling, machine learning, and AI, to deliver actionable insights across the organization.
Establish and enforce data governance frameworks to ensure data quality, security, and compliance with industry regulations.
Work closely with senior leadership, underwriting, risk management, and other key stakeholders to understand business needs and deliver data-driven solutions that support decision-making.
Guide the selection and integration of cutting-edge data technologies and platforms to support the firm's analytics capabilities.
Develop and monitor key performance indicators (KPIs) to measure the impact of data initiatives and drive continuous improvement.
Leverage data to enhance risk assessment models and support the development of innovative reinsurance products.
Utilise data analytics to generate insights that improve client engagement and support the development of tailored reinsurance solutions.
Minimum of 10 years of experience in data and analytics, with at least 5 years in a leadership role, preferably within the insurance or reinsurance industry.
Strong background in data science, analytics, and data engineering, with hands-on experience in machine learning, AI, and big data technologies.
Deep understanding of the reinsurance or financial services industry, with the ability to align data strategies with business goals.
Ability to think strategically and translate complex data into actionable business insights.
Advanced degree in Data Science, Computer Science, Statistics, or a related field is highly desirable.
Familiarity with data privacy regulations, compliance, and industry standards.
Develop and implement a comprehensive data and analytics strategy that aligns with the firm's overall business objectives and drives innovation.
Build, mentor, and lead a high-performing team of data professionals, fostering a culture of collaboration, continuous learning, and excellence.
Oversee the design and implementation of advanced analytics models, including predictive modelling, machine learning, and AI, to deliver actionable insights across the organization.
Establish and enforce data governance frameworks to ensure data quality, security, and compliance with industry regulations.
Work closely with senior leadership, underwriting, risk management, and other key stakeholders to understand business needs and deliver data-driven solutions that support decision-making.
Guide the selection and integration of cutting-edge data technologies and platforms to support the firm's analytics capabilities.
Develop and monitor key performance indicators (KPIs) to measure the impact of data initiatives and drive continuous improvement.
Leverage data to enhance risk assessment models and support the development of innovative reinsurance products.
Utilise data analytics to generate insights that improve client engagement and support the development of tailored reinsurance solutions.
Minimum of 10 years of experience in data and analytics, with at least 5 years in a leadership role, preferably within the insurance or reinsurance industry.
Strong background in data science, analytics, and data engineering, with hands-on experience in machine learning, AI, and big data technologies.
Deep understanding of the reinsurance or financial services industry, with the ability to align data strategies with business goals.
Ability to think strategically and translate complex data into actionable business insights.
Advanced degree in Data Science, Computer Science, Statistics, or a related field is highly desirable.
Familiarity with data privacy regulations, compliance, and industry standards.