Job Description

• The IT Data Modeler is responsible for designing, developing, and maintaining enterprise data models that support
  insurance operations, reporting, analytics, underwriting, claims, policy administration, risk management, and regulatory
  reporting.
• The role requires strong expertise in insurance data concepts, relational database design, data modeling
  methodologies, and data governance practices.
• A strong candidate will have 5+ years of Data Modeling experience, deep knowledge of relational databases and
  table design, and practical experience in the Property & Casualty Insurance industry including Policy, Claims,
  Underwriting, Risk, and Premium data structures.
  
  Key Responsibilities
  • Design conceptual, logical, and physical data models.
  • Create models for Policy, Claims, Billing, Customer, Broker, Risk, Coverage, and Reinsurance domains.
  • Develop dimensional models for reporting and analytics.
  • Maintain source-to-target mappings, metadata, and data dictionaries.
  • Support database optimization, data quality, governance, audit, and compliance initiatives.
  • Collaborate with Business, Architecture, Engineering, and Analytics teams.

Required Qualifications
• 5+ years Data Modeling and Database Design experience.
• 3+ years Property & Casualty Insurance experience.
• Strong knowledge of insurance business processes and enterprise data structures.

Technical Skills
• Conceptual, Logical & Physical Data Modeling
• ER Modeling and Dimensional Modeling (Star/Snowflake)
• Snowflake, Database Design, Normalization, Denormalization
• Data Governance, Metadata Management, Data Quality
• ER/Studio, PowerDesigner, Visio

Insurance Domain Knowledge
Policy Administration, Claims Management, Underwriting, Risk & Exposure, Premium & Billing, Coverage &
Endorsements, Broker & Customer Data, Regulatory Reporting.
IT Data Modeler - Insurance Domain

Soft Skills
Strong analytical thinking, stakeholder management, communication, problem solving, collaboration, documentation, and Agile delivery experience.

Preferred Qualifications
Azure Data Services knowledge, Data Warehousing/Data Lake experience, and familiarity with MDM and Data Governance frameworks.

Key Competencies
Insurance Business Acumen, Data Architecture, Database Optimization, Data Governance, Business Analysis,
Stakeholder Engagement, Communication, Strategic Thinking, and Delivery Focus.

The base compensation range for this role in the posted location is: 100,000 - 110,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.