# Insurance Analytics Leader

- Link: https://100xfounder.com/job/sigmoid-insurance-analytics-leader-e5badd/
- Published: 2026-06-09T12:24:15+05:30
- Author: Ishaan Vardhan

### 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.

**Offices: **New York | Dallas | San Francisco | Lima | Bengaluru. The role below
is for our **Bengaluru office.**

### Why Join Sigmoid?

Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly
combining technical expertise and creativity to tackle complex business problems
and convert them into straightforward data solutions. You will work in a fast-paced,
high-impact environment and help shape data, analytics, and AI-led transformation
for leading global insurance enterprises.

### 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.

In this role, you will drive strategic initiatives, foster innovation, and provide
visionary direction to our insurance practice with a strong focus on insurance analytics
and AI-led transformation. The role requires a strong portfolio leader responsible
for managing strategic accounts across new business development and account growth,
while partnering with senior client stakeholders to define analytics use cases across
Data Engineering, Data Science, Product Engineering, and Consulting.

### 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.

### Qualifications

 * Bachelor’s degree in Engineering, Statistics, Mathematics, Computer Science, 
   Economics or a related field; MBA preferred.
 * 10–15 years of experience in analytics consulting, insurance consulting, AI/ML
   transformation, or data-driven business consulting roles.
 * Strong domain exposure to the insurance sector, preferably in disability, life,
   supplemental benefits, or group insurance environments.
 * Proven track record of working with senior client stakeholders to shape strategic
   initiatives and analytics-led transformation programs.
 * Strong understanding of one or more areas such as Data Engineering, Data Science,
   AI/ML, digital product development, and consulting-led transformation.

### Desired Skills

 * Strong problem-solving, executive communication, workshop facilitation, and stakeholder
   management capabilities.
 * Ability to connect business context with analytical approaches and convert business
   priorities into scalable transformation roadmaps.
 * Experience in delivery oversight, pre-sales, account growth, and global team 
   collaboration is highly desirable.
 * Exposure to claims analytics, customer analytics, risk analytics, data platforms,
   and AI-led insurance transformation will be an advantage.
 * A self-starter who can work with minimal guidance and thrive in a fast-paced 
   consulting environment.
 * Role involves extensive travel to client locations in the US; candidates with
   active B1 visa is preferrable

### Note

_By submitting your application, you consent to being contacted by our Talent Acquisition
team via phone call, email, SMS, WhatsApp, or other communication channels regarding
your application and relevant career opportunities._