Director of Business Relations for the International AI Hub enhancing AI adoption across Tokio Marine Group companies. Connecting AI initiatives with business challenges, ensuring operational readiness, and mentoring teams.
Responsibilities
Serves as a strategic advisor and liaison between Group Companies and the AI Hub, translating business needs into actionable AI initiatives across Training, R&D, and Governance workstreams
Facilitates cross-functional workshops to identify high-impact AI opportunities in underwriting, claims, operations, and support functions
Shapes, validates, and prioritizes AI use cases with measurable ROI/IRR, ensuring alignment with legal, risk, IT, and data governance
Shares lessons learned, adoption challenges, and success stories across GCs to enhance maturity and reuse of proven solutions
Builds and maintains executive relationships with internal and external leaders to identify opportunities and ensure operational readiness
Guides business direction by anticipating needs, identifying opportunities, and making strategic recommendations that support the desired future state
Communicates effectively with stakeholders to ensure transparency around progress, risks, and outcomes
Participates in leadership meetings and facilitates strategic planning sessions to align business and technology objectives
Leads prioritization of AI initiatives based on organizational strategy, workload, and budget, and oversees resolution of escalated issues
Advocates for change management and facilitates adoption of AI-enabled business transformation
Represents Tokio Marine Group at industry events, articulating corporate goals and building external partnerships
Provides input on strategic direction to senior business and IT executives
Collaborates with global technology teams to ensure effective implementation and governance of AI projects.
Requirements
15+ years of progressive experience in the insurance or reinsurance industry, with a focus on analytics, data science, or other quantitative disciplines
Proven success leading and mentoring high-performing technical or cross-functional teams
Demonstrated ability to influence executive leadership and deliver strategic initiatives across global, federated organizations
Advanced degree (Master’s or Ph.D.) in a quantitative field such as Mathematics, Statistics, Computer Science, or Machine Learning preferred
Strong business acumen, executive presence, and the ability to operate effectively across cultures and regions
Deep understanding of decentralized organizational structures and the ability to drive collaboration through influence
Familiarity with AI project lifecycles—from ideation through implementation and monitoring
Excellent leadership, communication, and interpersonal skills.
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