Insurance Analytics Leader
Bengaluru, India · Full-time
- Posted 1mo ago
- From Sigmoid’s careers page
- Location
- Bengaluru, India
- Type
- Full-time
- Level
- Senior
- Experience
- 10+ years
- Department
- Data and Analytics
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About the role
About the Company:
Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions by building modern data architecture using cloud and open-source technologies. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps.
About the Role:
Sigmoid is looking to board a Leader for our Insurance Consulting Practice who can bridge the gap between high-level strategy and granular operational reality. A true expert in the insurance space must understand the interconnectedness of insurance products, claims ecosystems, underwriting dynamics, customer journeys, regulatory requirements, and operational processes.
Roles and Responsibilities:
- Strong understanding of Insurance sub sectors operating model, value drivers and underlying mechanics
- Insurance Operations - Ability to understand how core insurance functions interact across sales, enrollment, eligibility, underwriting, policy issuance, premium collection, claims processing, customer servicing, and renewal workflows.
- Knowledge of Disability insurance (short and long term, wage replacement models and return to work customer journeys) preferred
- In-depth knowledge of the data and process landscape within insurance organizations, including customer data, policy data, claims data, billing data, agent/broker data, operational data, and third-party data used for decision-making.
- Good understanding on Life & Supplemental Benefits: group life, voluntary life, accident, critical illness, hospital indemnity, and related employee benefits products and Absence & Leave Management: leave intake, case management, compliance workflows, employee communication, and employer reporting.
- The leader must be aware of the latest technologies used by insurance institutions across Data Engineering, Data Science, AI/ML, GenAI, workflow automation, and digital product platforms, and translate these capabilities into measurable business outcomes.
- Drive cultural transformation and buy-in across business, operations, claims, actuarial, technology, and analytics teams, while helping clients adopt modern ways of working and partner effectively across enterprise silos.
- Collaborate with sales, marketing, and business development teams to develop go-to-market strategies, identify key insurance clients, and drive new business opportunities in analytics, AI, and data transformation.
- Work in a matrix environment to manage and deliver solutions, POVs, and transformation programs across multiple accounts, stakeholders, and regions.
- Translate insurance business challenges into descriptive, diagnostic, predictive, prescriptive, and AI/ML-led solutions across claims, underwriting, customer operations, policy servicing, distribution, and absence management.
- Stay abreast of emerging trends in employee benefits, disability and absence management, digital claims transformation, and data democratization, leveraging technology to define and deliver value to clients.
- Monitor and analyze industry trends, regulatory changes, and competitive dynamics, adjusting strategy and offerings as needed.
- Lead a diverse team of consultants and subject matter experts, fostering a culture of collaboration, innovation, and execution excellence.
- Partner with clients to understand their business challenges and opportunities, providing strategic guidance and innovative solutions.
- Drive thought leadership initiatives, representing our company at industry events, conferences, and executive forums.
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About Sigmoid
Agentic AI and data transformation for enterprisesSigmoid provides AI, data engineering, analytics, and business consulting services to help enterprises modernize processes and make decisions using data.
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