Hiring.Camp

Insurance Analytics Leader Onsite

Sigmoid

·

Today

Location
Canada · Onshore
Type
Full-time
Department
Business Consulting and Solutions
Seniority
Lead
Experience
10+ years
Education
Master
Source
Greenhouse

Description

Insurance Analytics Leader

Sigmoid Analytics


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
  • DataOps

Global Offices: New York | Dallas | San Francisco | Lima | Bengaluru


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 onboard 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.
  • Provide visionary direction to our insurance practice.
  • Focus strongly 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
  • Consulting

Roles and Responsibilities

  • Strong understanding of insurance subsectors, operating models, value drivers, and underlying business 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-term and long-term disability, 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
    • Third-party data used for decision-making
  • Good understanding of:

    • Life & Supplemental Benefits: Group life, voluntary life, accident, critical illness, hospital indemnity, and related employee benefits products.
    • Absence & Leave Management: Leave intake, case management, compliance workflows, employee communication, and employer reporting.
  • Awareness of the latest technologies used by insurance institutions across Data Engineering, Data Science, AI/ML, GenAI, workflow automation, and digital product platforms, with the ability to 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 analytics solutions
    • Diagnostic analytics solutions
    • Predictive analytics solutions
    • Prescriptive analytics solutions
    • 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
    • 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 the 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 to 15 years of experience in:
    • Analytics Consulting
    • Insurance Consulting
    • AI/ML Transformation
    • Data-driven Business Consulting
  • Strong domain exposure to the insurance sector, preferably in:
    • Disability Insurance
    • Life Insurance
    • Supplemental Benefits
    • 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 of the following:
    • Data Engineering
    • Data Science
    • AI/ML
    • Digital Product Development
    • 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
    • AI-led Insurance Transformation

    will be an advantage.

  • 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 an active B1 Visa are preferred.


Note

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

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.

Skills

Data ScienceData EngineeringUnderwritingCompliance

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