transparent, client-focused, and technically robust insurance broking services
across India. Our growth journey is built upon a strong foundation of trust, operational excellence, and a deep understanding of evolving risk landscapes across industries
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:
15-18 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
Job Type: Full-time
Pay: Up to ₹3,000,000.00 per year
Work Location: In person
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