Chief Technical Officer (CTO) AI & Digital Transformation

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