Chief Technical Officer
1 week ago
Role & responsibilities
Technology & AI Strategy
- Develop and implement the organization's overall technology vision, focusing on AI-driven process automation, data intelligence, and customer-centric digital solutions.
- Define and lead the AI adoption roadmap for underwriting support, pricing analytics, claims management, accounts receivable management, and customer service automation.
Product & Platform Development
- Oversee the development of internal AI tools and platforms to enhance underwriting decision support, claims analysis, risk management, receiving reconciliation (end to end process management) and client servicing.
- Manage the enhancement and scalability of existing CRM, Policy Management, and digital customer engagement platforms.
Data Strategy & Analytics
- Build robust AI/ML models and analytics frameworks to convert business data into actionable insights.
- Develop predictive models for customer risk profiling, claims forecasting, premium optimization, and process efficiency metrics.
Process Automation & Operational Efficiency
- Drive adoption of AI technologies like OCR, NLP, Chatbots, and RPA across operational processes.
- Reduce manual intervention in policy issuance, documentation review, claims advisory, and regulatory reporting through AI-based automation.
IT Infrastructure & Cybersecurity
- Ensure secure, scalable, and agile IT infrastructure capable of supporting AI and data-driven operations.
- Lead cybersecurity strategies to protect sensitive customer, claims, and policyholder data.
Team Leadership & Vendor Management
- Build and mentor a high-performance, AI-literate tech team.
- Manage relationships with AI solution vendors, software providers, and digital partners.
Leadership & Business Collaboration
- Act as a strategic advisor to the CEO and Board on emerging technologies and digital business models in the insurance broking sector.
- Collaborate with underwriting, claims, finance, and sales teams to align technology initiatives with business goals.
Key Requirements:
Education:
- Bachelors or masters degree in computer science, AI, Data Science, Engineering, or a related discipline.
- Executive certifications in AI/ML, Data Strategy, or Insurance Technology would be advantageous.
Experience:
- 12-18 years of progressive technology leadership experience, including 5+ years in AI/ML-driven projects.
- Strong experience in BFSI/Insurance domain, preferably in General Insurance or Insurance Broking.
- Proven track record of driving enterprise digital transformation and AI adoption.
- Familiarity with insurance broking systems like CRM, ERP, Claims Management, and Regulatory Tech (RegTech) tools
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