Senior Manager – Data Analytics

A leading life insurance company is seeking a high-impact Senior Manager – Data Analytics to join its Decision Science team. In this pivotal role, you will work at the intersection of data science and business strategy to make insurance more personalized and efficient. Furthermore, you will apply advanced AI and Machine Learning to solve critical problems such as customer acquisition, underwriting, and claims management. Consequently, this position is vital for driving data-led decision-making across the entire life insurance value chain.

The Senior Manager – Data Analytics must be a business-oriented data scientist capable of extracting insights from complex, large-scale datasets. Additionally, you will collaborate with cross-functional teams like Actuarial, Marketing, and Risk to deploy scalable predictive models. Therefore, the company is looking for a professional with 4 to 8 years of experience in advanced analytics and AI. If you are a first-principles thinker with a passion for numbers and technology, this Senior Manager – Data Analytics role offers a premier platform for innovation.

Key Responsibilities

• Drive data-driven strategies by solving complex business problems using data and decision science.
• Develop and deploy statistical, predictive, and Machine Learning (ML/GenAI) models to steer business growth.
• Analyze structured and unstructured data to generate actionable insights for customer acquisition and persistency.
• Collaborate with stakeholders in Product, Sales, and Underwriting to optimize campaigns and automate solutions.
• Create robust machine learning pipelines and deploy scalable models that impact operational efficiency.
• Identify customer friction points and produce innovative, data-backed ideas to enhance the user journey.
• Utilize advanced analytics to improve risk assessment, fraud prevention, and dynamic pricing models.
• Participate in key strategic decisions, charting the company’s path in the competitive landscape.
• Leverage cloud environments (AWS/Sagemaker) and visualization tools to present data-driven narratives.
• Mentor junior team members and foster a culture of structured problem-solving and excellence.

Requirements and Qualifications

• Bachelor’s degree in Engineering, Technology, or Statistics (MBA from a premium school is a plus).
• 4 to 8 years of hands-on experience in core Advanced Analytics, Data Science, and Predictive Modeling.
• Strong proficiency in SQL, Python, and respective libraries for statistical data analysis.
• In-depth knowledge of Machine Learning, AI, GenAI, and core statistical concepts.
• Experience with AWS (Lambda, Sagemaker, QuickSight) or Google Cloud/BigQuery environments is preferred.
• Previous experience in Insurance, FinTech, or the broader Financial Services industry is highly desirable.