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Position Overview

The Regional Head of Data, Analytics, and AI for Asia Pacific at Chubb is a senior leadership role accountable for crafting and driving the region's strategy concerning data, analytics, and AI. As a vital member of the executive leadership team, this leader spearheads advanced data and AI projects, ensuring alignment with global initiatives while encouraging innovation throughout multiple countries. Collaborating closely with business and functional heads, this role focuses on prioritizing and delivering solutions that support Chubb's strategic aims. Engagement with Chubb’s clients, partners, brokers, and their analytics teams is a key function to co-develop data solutions that foster profitable growth.

Primary Responsibilities

Shape and implement the regional data, analytics, and AI strategies consistent with global objectives and business priorities.
Act as a key thought leader within the Asia Pacific executive leadership team for data-driven and AI transformation.
Promote a culture centered on data innovation and continuous improvement region-wide.
Identify and champion business cases leveraging analytics and AI to enhance profitability and operational efficiency.
Collaborate with commercial and consumer business leaders to pinpoint and prioritize impactful analytics and AI projects.
Work alongside functional units such as Underwriting, Claims, Finance, IT, and Marketing to unlock cross-departmental value.
Serve as the main regional liaison with global data and AI teams to ensure seamless alignment and exchange of knowledge.
Direct the crafting, rollout, and maintenance of cutting-edge analytics, AI, and data solutions across various countries.
Ensure solutions are scalable, secure, comply with regulations, and meet business objectives.
Regularly assess and present the returns and impact of data and AI investments.
Lead and inspire a diverse, geographically dispersed team of data and AI professionals, promoting talent growth and a high-performance culture.
Uphold Chubb's data and AI governance, privacy, and quality standards in accordance with global and regional laws and internal requirements.

Qualifications and Experience

Extensive leadership background in data, analytics, and AI, preferably within general insurance or financial services sectors.
Successful experience in driving data strategy and executing large-scale transformations across multiple regions.
Proven expertise managing multicultural and geographically spread teams.
Strong proficiency in AI technologies, advanced analytics, machine learning, and data management methodologies.
Ability to collaborate with senior stakeholders to translate data insights into business value.
Skilled in influencing clients and sponsors to co-create data analytics capabilities.
Experience in matrixed global organizations with exceptional stakeholder management skills.
Outstanding communication, influence, and change management abilities.
Preferred advanced degree in Data Science, Computer Science, Statistics, Business, or related disciplines.

Technical Expertise

Strong knowledge of contemporary data platforms including cloud, lakehouse architectures, and ETL/ELT processes.
Hands-on experience deploying machine learning, generative AI, NLP, and large language models in production.
Expertise in data pipelines, feature stores, and model lifecycle monitoring.
Proficiency with enterprise analytics tools for driving commercial and operational insights.
In-depth understanding of data governance, quality assurance, lineage tracking, and regulatory compliance.

Core Competencies

Strategic thinking with clear vision for data and AI in business.
Executive presence with ability to influence at senior leadership levels.
Strong business acumen with results-driven mindset.
Effective collaboration and stakeholder relationship management.
Change leadership and talent development capabilities.
Deep technical knowledge in AI and data domains.

Regional Head of Data and Analytics, APAC

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