Insurance Analytics Consulting Leader

About Sigmoid

Sigmoid enables business transformation using data and analytics - building modern data architecture with cloud and open-source technologies, with deep expertise in data engineering, predictive analytics, AI and DataOps. Offices: New York, Dallas, San Francisco, Lima, Bengaluru.

Location: Bengaluru/Gurugram

Experience: 10-15 Years

The Role

Leading Sigmoid's Insurance Consulting Practice - bridging high-level strategy and granular operational reality across insurance analytics and AI-led transformation. The role spans strategic accounts, new business development, account growth, and defining analytics use cases across Data Engineering, Data Science, Product Engineering and Consulting.

Responsibilities

• Partner with clients on business challenges, provide strategic guidance and drive thought leadership
• Translate insurance business challenges into analytics and AI/ML-led solutions across claims, underwriting, customer operations, policy servicing, distribution and absence management
• Lead consultants and subject matter experts, managing solutions and transformation programs across accounts and stakeholders
• Partner with sales and business development teams on go-to-market strategy, client identification and new business
• Drive transformation and buy-in across business, operations, claims, actuarial, technology and analytics teams

Requirements

• 10–15 years in analytics consulting, insurance consulting, AI/ML transformation or data-driven business consulting
• Strong insurance domain exposure - disability, life, supplemental benefits or group insurance preferred
• Understanding of insurance operations: sales, enrollment, eligibility, underwriting, policy issuance, premium collection, claims, servicing, renewal
• Understanding of insurance data and process landscapes across customer, policy, claims, billing, agent/broker, operational and third-party data
• Proven experience with senior client stakeholders on strategic, analytics-led initiatives
• Strong understanding of at least one of Data Engineering, Data Science, AI/ML, digital product development or consulting-led transformation
• Bachelor's in Engineering, Statistics, Mathematics, Computer Science, Economics or related; MBA preferred

Preferred

• Knowledge of short- and long-term disability, wage replacement models and return-to-work journeys
• Exposure to Life & Supplemental Benefits and Absence & Leave Management
• Experience in delivery oversight, pre-sales, account growth and global team collaboration
• Exposure to claims analytics, customer analytics, risk analytics and data platforms
• Active B1 visa - the role involves extensive US client travel