AVP, Cyber Analytics

Overview
The AVP – Cyber Analytics will lead Lockton’s cyber analytics strategy, delivering advanced insights to help clients navigate complex cyber risk landscapes. This role combines deep cyber expertise, data-driven decision-making, and AI-first mindset, and innovative solution development to strengthen Lockton’s position as a leader in cyber risk advisory.
Responsibilities

Growth & Client Impact: Lead high-value prospect and client conversations to demonstrate Lockton’s differentiated cyber analytics capabilities; provide actionable insights on emerging cyber threats, regulatory changes, and competitor offerings to inform Lockton’s cyber product roadmap.
Innovation & Product Development: Collaborate with Risk Solutions and Analytics leadership to define future cyber analytics initiatives and enhance digital solutions (e.g. Associate Hub) with cyber-specific value; continuously assess client needs related to cyber risk modeling, threat intelligence, and vulnerability analysis to drive solution enhancements; support development of new insurance products with innovative cyber analytics capabilities.
Adoption & Training: Design and deliver training programs for brokerage teams focused on cyber risk analytics, modeling methodologies, and technology tools; establish transparency into adoption metrics for cyber analytics tools and develop strategies to increase engagement.
Communication & Thought Leadership: Equip client teams with compelling messaging and positioning strategies for Lockton’s cyber analytics capabilities; integrate cyber risk insights into prospecting materials and maintain a structured cadence of data-driven updates on cyber trends and best practices.
Data Analysis & Technology Leadership: Serve as a subject matter expert (SME) in analyzing cyber-related datasets, including threat intelligence feeds, incident data, and vulnerability metrics, transforming raw data into actionable client insights; act as an SME for digital / analytics technology initiatives, ensuring cyber analytics features align with business value and client needs.

Qualifications

Education: Bachelor’s degree in Cybersecurity, Data Analytics, Risk Management, or related field
Experience: 7+ years in cyber risk analytics, cybersecurity consulting, or insurance-related roles
Technical Skills: Familiarity with cyber risk modeling tools, threat intelligence platforms, and data visualization tools (e.g., Power BI, Tableau); understanding of enterprise data strategy, data governance, and how analytics capabilities scale across platforms and stakeholders. Experience with Azure and Databricks is preferred
Industry Knowledge: Deep understanding of cyber risk frameworks (NIST, ISO), regulatory requirements, and cyber insurance market dynamics
Leadership: Proven ability to lead cross-functional teams and influence senior stakeholders

Core Competencies

Strategic thinking with a focus on cyber risk mitigation/quantification
Strong communication and presentation skills
Ability to translate complex cyber data into actionable insights
Collaborative mindset with a focus on innovation

Success Metrics

Identification and growth of data-driven revenue opportunities for cyber including cross-selling, analytics-supported insurance product development (e.g. cyber triggered physical damage, technology E&O, media E&O, etc.), industry vertical-specialized analytics
Increased adoption of cyber analytics tools across brokerage teams
Growth in cyber analytics-driven client engagements
Positive feedback from clients on cyber risk advisory and analytics initiatives
Timely delivery of cyber-focused product enhancements and training programs

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