Director of Data Science and Insurance Operations
2 weeks ago
About the Role
We are seeking an experienced Director/AVP to lead our Data Science and Insurance Operations team. As a key member of our organization, you will be responsible for developing and executing a data-driven strategy in collaboration with key stakeholders. This will involve leveraging data science, machine learning, and analytical techniques to offer actionable insights for our clients in the insurance industry.
Key Responsibilities
- Manage development right from product conceptualization to general availability and support/maintenance.
- Develop a data science-driven strategy in collaboration with key stakeholders.
- Determine how to leverage data science, machine learning, and other analytical techniques to offer actionable insights for the insurance industry clients.
- Manage projects end to end, including setting up a comprehensive stakeholder management and communication plan with internal and external leadership.
- Develop project plans, manage risk and issues, and implement an effective mitigation strategy.
- Define project schedules, allocate resources, scope, and time management.
- Align project objectives and project team's alignment on objectives.
- Understand customer needs and translate them into creating detailed use cases, design, and/or implementation specifications for complex products/applications/solutions.
- Continuously design, develop, and implement all data science solutions.
- Understand current market trends, risks, and prevalent technologies used in data science and the insurance industry.
Requirements
- Proven experience as a Data Scientist or similar role with 10+ years of experience focused primarily in P&C Insurance segment.
- Experience of implementing multiple AI/ML projects end to end from conceptualization to production deployment.
- Strong technical understanding of data science, machine learning, analytical methodologies, and tools with hands-on experience of when to use what and adapting to client's unique needs and scale.
- Demonstrable track record in leading large, complex data science and analytics projects which drive tangible, significant business gains in P&C insurance domain.
- Someone who knows how to frame business problems, help data scientists abstract that business problem into a technical structure they can model, coach them to explain their results to business leaders, considers usability and deployment, and develop careers.
- Proven project management and delivery expertise.
- A knack for statistical analysis and predictive modeling.
- Versatility with developing products on multiple technology stacks that get delivered in traditional data centers, public clouds, and private clouds.
- Polished verbal and written communication style.
Preferred Qualifications
- Experience and detailed knowledge of the P&C Insurance industry.
- Detailed, practical understanding of insurance operations and underwriting in addition to in-depth knowledge of functional areas within diverse insurance organizations.
- Strong insurance acumen.
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