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Lead the organization's data, analytics, and artificial intelligence transformation agenda. This role will be responsible for shaping and executing the enterprise Data & AI strategy, building scalable data platforms, advancing AI capabilities, and driving data-driven decision-making across the business

Job Qualifications

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related Engineering discipline. A Master's degree and professional AI/Data certifications are highly preferred
• Proven experience designing enterprise data architecture, modern data platforms, AI/GenAI solutions, machine learning models, and MLOps environments. The hiring manager is looking for a builder and architect, not solely a governance or program management leader
• Strong expertise in Machine Learning, Predictive Analytics, NLP, Generative AI/LLMs, AI Governance, and Responsible AI
• Experience with platforms and technologies related to Data & AI development such as Azure AI/OpenAI, AWS AI/ML, Google Cloud AI, Databricks, Snowflake, Python, SQL, and AI deployment frameworks
• Ability to define and execute Data & AI strategy, align AI initiatives with business value, lead transformation roadmaps, advise executive leadership, and manage multidisciplinary teams
• Preference for candidates from Financial Services, Insurance, Banking, Digital Businesses, or other technology-driven organizations where data governance and strategic AI adoption are critical

Job Accountabilities - Key Accountabilities

• Leads the development of next-generation market leading analytic techniques to build the data engineering capabilities across the organization
• They complete in-depth diagnostics of project needs issues and business drivers and recommend process and system improvement to enhance customer service
• They develop propose and lead the implementation of data initiatives to improve processes develop policies and generate innovation to maintain regulatory compliance andor deliver process or product enhancements
• They establish maintain and grow strong collaborative relationships with key internal and external partners leveraging relationships to drive ongoing improvements to the organizations data strategy

Why Zurich

• At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right?
• We are an equal opportunity employer who knows that each employee is unique - that’s what makes our team so great! , Join us as we constantly explore new ways to
• protect our customers and the planet