Head of Insights and Analytics

AXIS (AXIS Capital)•New York, NY

1d•$280,000 - $325,000•Hybrid

About The Position

The Head of Insights & Analytics leads a multidisciplinary team that transforms data into actionable insights and measurable business value. This role is accountable for both traditional reporting and advanced analytics, data science, and AI solution delivery. The purpose of the role is to ensure the business gets the right solutions for the right needs, whether that’s a dashboard, a predictive model, an AI-driven tool or an agentic solution, always focused on delivering optimal business outcomes rather than analytics for its own sake. This is a high-impact leadership role, requiring a blend of strategic vision, technical acumen, and exceptional people leadership to drive a culture of continuous improvement, innovation, and business partnership.

Requirements

Proven experience within the Insurance sector
Leadership & Team Management: Proven leadership experience in analytics, business intelligence, data science, or related fields, ideally including insurance exposure. Ability to build and inspire a diverse team, set direction, and create a high-performance culture.
Analytics & Data Science Expertise: Deep understanding of a broad range of analytics approaches. Hands-on experience delivering data-driven solutions that meet business needs. Familiarity with modern data & AI tools and platforms.
Business Acumen: Strong knowledge of insurance industry dynamics and core processes. Able to quickly grasp business problems and industry-specific challenges, then lead the design of analytics/AI solutions that address them
Strategic & Outcome Orientation: Strategic thinker who can define a vision for analytics in line with business strategy. Relentlessly outcome-focused, ensuring projects have clear objectives and deliver tangible business value.
Stakeholder Engagement & Communication: Excellent communication skills, especially in bridging the gap between technical teams and business stakeholders. Adept at translating complex analytical and AI concepts into clear, compelling business stories and actionable recommendations.
Change & Innovation Driver: Demonstrated ability to introduce new tools, methods, or technologies and drive adoption. Passion for continuous learning and keeping up-to-date with the latest advancements in data, analytics, and AI. Comfortable leading a team through change, fostering innovation while managing risk appropriately.

Nice To Haves

An advanced degree in a relevant field (e.g., Data Science, Statistics, Business Analytics, Computer Science, or similar) is highly desirable, or equivalent professional experience.

Responsibilities

Lead a High-Performing Analytics Function: Build, inspire, and manage a multidisciplinary team (spanning BI/reporting analysts, data scientists, AI engineers, and data analysts) to deliver insights and analytics to AXIS in support of the business’ goals. Cultivate a culture of excellence, collaboration, and continuous learning.
Drive Outcome-Focused Delivery: Work with business leaders across underwriting, claims, finance, operations, and other functions to understand how analytics and AI can support and enable their goals. Ensure the team delivers practical solutions that drive decision-making and measurable improvements – prioritizing business outcomes over output volume.
Advanced Analytics, Data Science & AI Delivery: Oversee the end-to-end delivery of advanced analytics and AI use cases – from scope definition and data exploration through model development, validation, deployment, and monitoring. Champion the selection of the right analytical approach (e.g., diagnostic analysis, predictive modelling, machine learning, AI automation) to solve each business problem, ensuring solutions are fit-for-purpose and add tangible value (e.g., improved loss ratio, enhanced customer experience, operational efficiency).
Traditional Insights & Management Information: Oversee development and enhancement of dashboards, reports, and key performance indicators (KPIs) that provide a single source of truth. Ensure reporting is accurate, timely, and clearly communicates insights to business stakeholders for areas like underwriting performance, claims trends, customer insights, and financial metrics.
Strategic Planning & Vision: Define and communicate a clear vision and roadmap for the Insights & Analytics function, aligned with the company’s strategy. Identify opportunities to leverage emerging tools and methods to continuously advance analytical capabilities in a pragmatic way.
Stakeholder Engagement & Consulting: Act as a trusted partner to business leaders. Translate complex data science and analytics concepts into clear, actionable business insights. Build strong relationships with key stakeholders (including underwriters, claims managers, actuarial teams, product leaders, and senior executives) to ensure analytical initiatives meet real business needs and are fully adopted.
Cross-Functional Partnership: Partner closely with other Data & Analytics functions, working as one team to ensure the best possible end-to-end outcomes are delivered for the business.
Governance & Best Practices: In partnership with the Data and AI Governance team, establish standards and best practices for analytics and reporting, including data quality control, model governance, and ethical AI use. Ensure adherence to regulatory and compliance requirements relevant to insurance data and models. Promote data-driven decision-making and champion data literacy across the organization.
Performance Management: Define and track key performance indicators for the Insights & Analytics function. Ensure work is prioritized for maximum impact, resources are allocated effectively, and projects are delivered on time and within budget.
Technology & Innovation: Stay abreast of industry trends in insurance analytics, data science, and AI. Evaluate and adopt new technologies and analytical techniques that can drive better outcomes (e.g., new predictive modelling techniques, generative AI, advanced data visualization tools). Foster a test-and-learn environment, encouraging the team to pilot innovative solutions in a controlled, value-focused manner.