- Lead a greenfield initiative to architect and implement Pure's AI/ML framework, fostering collaboration between data science, IT, and business units to ensure resilient, repeatable, compliant, and accurate models- Design and implement a scalable MLOps infrastructure, integrating cutting-edge technologies such as Large Language Models (LLMs) and AutoML platforms while increasing efficiency through automated testing and CI/CD- Develop strategies to accelerate model development with an emphasis on Explainable AI (XAI) through automation and best practices, facilitating knowledge sharing and collaboration between data science teams and domain experts- Establish robust governance frameworks for ethical AI implementation and regulatory compliance, partnering with legal, compliance, and business stakeholders to ensure alignment with company values and industry standards while continuously monitoring for bias and fairness- Create environments that empower data scientists to innovate and deliver high-impact solutions, fostering a culture of cross-functional collaboration and continuous learning- Collaborate with cross-functional teams to align AI/ML capabilities with broader business objectives

- Spearheaded the development and execution of a comprehensive data strategy, collaborating with C-suite executives and department heads to align it with PURE's business objectives and drive data-driven decision-making across all functions.- Led the transformation of the company's data infrastructure, implementing modern data architecture to support advanced analytics and AI/ML initiatives, while ensuring seamless integration with existing systems and processes.- Established a data governance framework, bringing together stakeholders from legal, compliance, IT, and business units to ensure data quality, consistency, and regulatory compliance across the organization.- Developed and implemented a company-wide dashboard strategy, working closely with department leaders to enhance data visualization and reporting capabilities, providing actionable insights to leadership at all levels.- Collaborated with cross-functional teams to identify and prioritize high-impact data science and AI projects, driving innovation and operational efficiency- Mentored and developed a team of data professionals, fostering a culture of continuous learning and innovation in data science and AI technologies

- Provide leadership, coaching, and training to ensure team members are knowledgeable and preparing for the next step in their careers.- Led the digital transformation of claims operations, leveraging data analytics to optimize processes and improve customer experience- Orchestrated the integration of data-driven decision making into shared services operations, significantly improving efficiency and customer satisfaction- Implemented predictive analytics models to enhance claims triage and fraud detection, resulting in significant cost savings and improved accuracy- Developed and executed a data-driven strategy for vendor management, utilizing advanced analytics to optimize partnerships and reduce costs- Automated the generation, distribution, and collection of claims quality assurance audits- Established a centralized data repository for claims, enabling advanced reporting and analytics capabilities across the organization- Implemented robotic process automation (RPA) and machine learning solutions to streamline back-office operations, resulting in substantial cost savings- Led cross-functional teams in developing and implementing KPIs and dashboards to monitor operational performance and drive continuous improvement

- Architected and implemented a global claims data strategy, unifying data across all lines of business and geographical regions- Led the development of a centralized claims data model, enabling advanced analytics and automated reporting capabilities- Evaluated and integrated predictive modeling and AI-driven solutions for claims triage, fraud detection, litigation strategy, and subrogation, resulting in significant operational improvements- Established a global center of excellence for claims analytics, driving innovation and best practice sharing across regions- Developed and implemented a comprehensive data governance framework, ensuring data quality, privacy, and regulatory compliance across all claims systems- Led the digital transformation of claims operations, implementing real-time analytics dashboards and mobile solutions for claims staff

- Established a new analytics team focused on delivering actionable insights for global property and specialty lines- Developed and implemented advanced catastrophe modeling and reporting systems, leveraging predictive modeling for enhanced risk assessment- Created a data-driven portfolio optimization strategy, resulting in improved underwriting performance and risk management- Implemented near-real-time analytics dashboards for executive leadership, enabling data-driven decision-making at the highest levels- Led the development of predictive models for property risk assessment, improving underwriting accuracy and efficiency- Collaborated with actuarial and underwriting teams to develop a location 360 report, enhancing competitiveness in the market

- Developed and implemented a global analytics framework for quality assurance, leveraging machine learning for anomaly detection and process improvement- Led the design and implementation of scoring systems for operational exceptions, significantly improving efficiency and accuracy- Implemented proactive models to identify potential quality issues, enabling proactive intervention and continuous improvement- Developed global KPIs and analytics dashboards, providing insights into quality performance across regions and business units- Collaborated with IT to implement data integration solutions, enabling comprehensive analysis across multiple systems and data sources

- Led development and implementation of data-driven workforce management strategies for a 1,600-employee organization- Implemented predictive analytics models for claims volume forecasting, optimizing resource allocation, and improving operational efficiency- Developed comprehensive reporting and analytics capabilities, providing actionable insights to executive leadership- Participated in the design and implementation of a claims data warehouse, enabling advanced analytics and reporting capabilities

- Developed and implemented a data-driven approach to total loss evaluations, improving accuracy and customer satisfaction- Created automated systems for regulatory compliance checks, ensuring 100% adherence to state-specific requirements- Collaborated with IT to implement automated generation of claim correspondence- Developed analytics dashboards to monitor performance metrics and identify opportunities for process improvement