About the Role:

This role will be responsible for the development and implementation of a global claims data strategy that delivers reporting, insights and analytics to improve claim outcomes, and inform the overall product strategy. The Director of Analytics is expected to interface with senior leadership and stakeholders, as well as participate in cross functional initiatives to deliver new capabilities including efforts to incorporate AI/ML, Gen AI and automation into claims processes and workflows.

Role & Responsibilities (include but not limited to):

• Developing analytics frameworks for CLARA’s product suite around KPI’s, ROI reporting, and detailed trending/behavioral analysis

• Develop analytics content and facilitate executive level presentations

• Manage CLARA’s Analytics team, ensuring alignment and efficiency.

• Deliver comprehensive dashboarding and reporting solutions that drive insights and transparency.

• Collaborate with CSMs and Solutions Consultants to deliver and refine performance metrics.

• Oversee the deployment and integration of third-party data sources.

• Collaborate with the Data Quality and Onboarding teams to track, manage and enhance data quality.

• Collaborate with the Data Science and Data Engineering teams to leverage predictive analytics and automated workflows.

• Implement a strategic vision for claims data, incorporating automation, AI/ML predictive modeling & benchmarking, generative AI, and large language models.

• Ensure that all data and analytics outputs are reviewed for clarity, quality and accuracy.

• Develop and present Analytical Roadmap as well as Resourcing and Product Feature plans, aligning resources with strategic goals.
  
  

Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Statistics, or related field; Master’s preferred.

• Proven experience in data management, with a focus on insurance claims data.

• Strong leadership experience in managing cross-regional teams.

• Deep understanding of predictive analytics and data quality management.

• Familiarity with Automation, AI/ML predictive modeling & benchmarking, Generative AI, and LLM technologies.

• Excellent communication and presentation skills, with the ability to influence stakeholders.
  
  

Knowledge, Skills & Competencies:

• Proficiency in data analytics tools and software, such as SQL, Python, R, and BI tools.

• Strong analytical and problem-solving skills, with an eye for detail and accuracy.

• Ability to develop and execute strategic plans, with a focus on innovation and improvement.

• Excellent project management skills, with the ability to manage multiple priorities.

• Adept at working collaboratively across teams and departments.

• Commitment to continuous learning and staying up to date with industry trends and best practices.