Chief Technology Officer

1 week ago


Kolkata, West Bengal, India salasar services insurance brokers private limited Full time ₹ 15,00,000 - ₹ 30,00,000 per year

About US

At Salasar Services Insurance Brokers Pvt. Ltd., we are committed to delivering 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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