Head of Data and Analytics

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.

Key Responsibilities:

• 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.

Qualifications:

• 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.
• Proven ability to lead and develop high-performing teams, with excellent communication and interpersonal skills.
• 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.