Data Modeler - Life Insurance Domain - ONSITE

Req ID: 354137 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Data Modeler - Life Insurance Domain - ONSITE to join our team in Addison, Texas (US-TX), United States (US).

Day to Day Job Duties:  

• Design high-quality domain (canonical) data models, consumption-layer dimensional models, ensuring compliance with data architecture and governance standards.
• Collaborate with business and technical stakeholders to define, document, and govern how data flows across the organization – supporting analytics, reporting, operational use cases, and advanced data science initiatives.
• Work under the guidance of Core Data Architects to create data models for the different layers (Domain and Consumption) of our enterprise data platform hosted in Databricks on Azure.
• Collaborate with Application Data SMEs to understand the complete structure and business definition of the source data.
• Collaborate with business analysts and business analytics SMEs to understand the BUS Matrix and associated requirements definition for the data needs.
• Create and maintain data model using ER Studio tool, complete with DDL generation.
• Define end to end data lineage (S2T) and document them on Confluence pages as per given standards.
• Generate SQL query snippets for explaining data transformation logic.
• Profile and analyze source data to ensure data quality and recommend data refinement and cleansing methods.
• Perform necessary reviews and obtain sign offs prior to delivery to the DEV and QA teams.
• Perform handoff walkthroughs of model and S2T to the DEV team and participate in design review sessions for any refinements as necessary.
• Perform handoff walkthroughs of model and S2T to the QA team and participate in defect triage sessions as necessary.
• Build SQL queries for end consumption business views in alignment with the business requirements.
• Participate with business UAT teams to clarify data model questions and business view questions.
• Provide any other necessary support through the engineering build, QA and UAT phases.

Basic Qualifications: 

• 5+ years in data architecture, data modeling, or enterprise analytics.
• 3+ years of experience in life insurance, annuities, policy administration, claims, actuarial, or related financial services data will be excellent.
• 5 years’ experience working with Data Modeling tools (e.g., Erwin, ER/Studio, or similar)

Preferred Skills:

• Strong experience with canonical / domain modeling, dimensional modeling, and semantic modeling
• Proficiency in documenting data lineage and metadata (e.g., Purview, Collibra, Alation, or native Databricks capabilities).
• Understanding of ACORD data standards, product hierarchies, distribution channels, customer/party models, and regulatory reporting will be an added advantage.
• Any prior experience with the conceptual understanding of IBM IIW, Teradata ILDM, Oracle OIDF, etc., will be helpful
• Proficiency in defining SQL queries is a must
• Experience working with Azure Databricks (Delta Lake, Unity Catalog, DBFS, SQL endpoints) will be an added advantage
• Familiarity with Data Mesh, Kimball, Inmon, Data Vault, and Lakehouse modeling patterns.
• Excellent communication and ability to translate complex concepts for non-technical audiences.
• Ability to lead architecture discussions and influence stakeholders.
• Comfortable working in agile delivery environments.
• Strong documentation habits and detail orientation.
• Experience with data contracts, API modeling, or event-driven architecture will be helpful
• Experience working with Alteryx and/or Tableau will be an added advantage
• Experience with SSIS will be helpful
• Knowledge of Python will be helpful

Degree: BA or BS degree with a STEM major is preferred. Relevant advanced degree is a plus.

#LI-NorthAmerica 

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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