CTO - AI, IT Infrastructure and Cybersecurity

Job Title:
Chief Technical Officer (CTO)

Location: Kolkata

Reporting To: Executive Director

Job Purpose:

As the Chief Technical Officer (CTO), you will lead the technology strategy and digital transformation journey of the organization, placing AI-driven capabilities at the core of operational excellence, underwriting support, claims management, and customer experience. The CTO will be responsible for defining and executing a comprehensive technology roadmap that integrates AI, data analytics, and automation to improve productivity, reduce manual interventions, and create competitive advantages in the general insurance broking space.

Key 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:

• Bachelor's or master's 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.

Technical Expertise:

• Deep understanding of AI/ML frameworks (TensorFlow, PyTorch), RPA, NLP, OCR, and predictive analytics.

• Hands-on experience in data platform management, cloud technologies (AWS/Azure/GCP), and cybersecurity best practices.

• Familiarity with insurance broking systems like CRM, ERP, Claims Management, and Regulatory Tech (RegTech) tools.

Leadership Competencies:

• Visionary leadership with strategic problem-solving skills.

• Strong business acumen and understanding of general insurance broking operations.

• Excellent stakeholder management and cross-functional collaboration abilities.

Key Deliverables / KPIs:

• Execution of AI-driven process automation projects

• Reduction in underwriting and claims advisory turnaround time

• Uptime and security of digital platforms and IT infrastructure

• Customer engagement metrics via AI-driven channels

• ROI on technology investments and operational cost optimization