Actuarial Data Science Senior Manager

Key Skills

Aartificial intelligence, Big Data Technology, Data Governance, Data Modeling, Data science techniques, Data Visualization, Database, Effective communication skills

Job Description

The Actuarial Data Science Senior Manager will lead a talented team of data scientists and credentialed actuaries in shaping the future of data-driven decision-making in Personal Lines at Westfield. The Actuarial Data Science Senior Manager will drive innovation and shape the strategic direction across our Personal Lines business—partnering closely with leaders in Product, Underwriting, Marketing, and beyond.

The Actuarial Data Science Senior Manager will closely collaborate with senior leaders across the company to identify impactful opportunities, bring new analytical approaches to life, and accelerate innovation. The Senior Manager will lead complex, visible projects that directly influence business outcomes and enhance our competitive position. The Actuarial Data Science Senior Manager will play a central role in shaping its direction, growing talent, and creating lasting business value through innovative analytics and storytelling.

This individual will need to bring technical depth, strategic perspective, and a passion for mentorship, and also be willing to challenge the status quo and push the boundaries of what’s possible with data.

Responsibilities

• Develops and executes strategy to advance organizational maturity of Personal Lines data science and actuarial pricing models.
• Leads a team of data scientists and/or actuaries in support of the development and/or research, learning, and application of novel techniques to create solutions for problems.
• Identifies opportunities for and initiates projects aligned with data science strategy.
• Establishes aspirational goals for data science research and translates them into actionable projects and milestones.
• Proactively develops and maintains business partner relationships across the organization (leadership, customers and IT partners) to identify the opportunity for and to facilitate adoption of data science solutions.
• Promotes and upholds ethical AI standards in alignment with insurance regulations and industry laws.
• Owns accountability for talent management and navigation of employee related issues that impact morale and work environment to ensure a high performing team including hiring and selection, succession planning, performance and compensation management, and employee development and career coaching as required.
• Sets priorities, manages workload distribution, and removes organizational roadblocks.
• Stays connected to insurance industry trends and emerging techniques through ongoing learning and external engagement.

Qualifications

Job Qualifications

• 10+ years of experience in Data Science, Actuarial, Computer Science, Information Technology, or a related field.
• 7+ years of experience building, validating, and applying predictive analytics and methods to real world problems.
• 3+ years of managing professional data scientists.
• Bachelor's degree in computer science, Data Science, Actuarial Science or a related field.
• Advanced degree in Data Science or Actuarial Credential preferred.

Location

• Hybrid work arrangement preferred, with flexibility for fully remote candidates demonstrating strong qualifications.

Behavioral Competencies

• Directs work
• Collaborates
• Develops talent
• Customer focus
• Communicates effectively
• Ensures accountability
• Decision quality
• Business insight
• Nimble learning
• Builds effective teams
• Manages complexity

Technical Skills

• Big data AI technologies
• Data modeling
• Data governance
• Database management
• Business requirements gathering
• Data visualization
• Budget management
• Strategic planning

This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.