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We are currently seeking a Data Modeling to join our team in Anywhere, Karnātaka (IN-KA), India (IN).
Role Summary
We seek an accomplished Manager – Data Modeling to lead enterprise‑grade data modeling and information architecture for our insurance portfolio, with preference for specialty lines experience. You will define conceptual, logical, and physical models; standardize data across core domains; partner with underwriting, claims, actuarial, finance, and engineering; and enable analytics/AI use cases that drive measurable business value.
Key Responsibilities
Strategy & Architecture
Own the data modeling strategy across the insurance value chain (underwriting, rating, policy admin, claims, billing, reinsurance, finance, distribution).
Define and maintain enterprise conceptual, logical, and physical models and canonical structures; align to business and digital roadmaps.
Shape target‑state DWH/lakehouse/semantic architectures and integration patterns with core platforms and data products.
Data Modeling & Design
Design robust models for specialty products (e.g., E&O, D&O, Cyber, Marine, Aviation, Umbrella), including risk/exposure, coverage, limits, locations, modifiers.
Deliver models for rating engines, pricing analytics, and actuarial studies; implement 3NF, dimensional/star‑schema, data vault, and wide‑table patterns as appropriate.
Create semantic layers and curated data products that accelerate BI and data science.
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Establish standards, naming conventions, conformed dimensions, and model versioning/release practices.
Partner with Data Governance on glossary, metadata, lineage, access controls, and data quality rules/scorecards; chair or co‑chair the Design Authority for models.
Delivery & Change Leadership
Lead modeling for migrations and platform modernizations, including data harmonization across legacy and target cores.
Guide engineering teams implementing models on cloud platforms (Azure/AWS/GCP) and modern lakehouse stacks; ensure performance, partitioning, and cost efficiency.
Enable UAT/SIT for data products, manage risks (DQ, integration complexity, technical debt), and ensure on‑time, on‑budget delivery.
Stakeholder & People Leadership
Engage senior stakeholders (underwriting, claims, actuarial, finance, technology) to prioritize use‑cases and value outcomes.
Lead and mentor a team of data modelers/analysts (5–10+); build accelerators/playbooks and capability uplift.
Communicate complex topics clearly to executive and non‑technical audiences; manage vendors/SIs where required.
Required Experience & Skills
Experience (must meet all minimums)
8+ years total in Data & Analytics.
5+ years in data modeling/information architecture/data design.
5+ years in the insurance domain.
5+ years working with or supporting specialty lines (preferred).
4+ years in leadership/people management, owning modeling workstreams and mentoring teams.
3+ years working with insurance core systems (e.g., Guidewire, Duck Creek, Majesco/Insurity, or equivalent).
Technical Skills
Expert in conceptual, logical, physical modeling; dimensional/star/snowflake, data vault, temporal/versioned data design.
Strong SQL and proficiency
Implementation experience on Azure/AWS/GCP and lakehouse paradigms (e.g., Delta/Iceberg); performance tuning, partitioning, indexing.
Working knowledge of ETL/ELT (ADF, Glue, Talend, Fivetran, Airflow), semantic layers/BI (Power BI/Tableau/Looker), and MDM concepts.
Domain Skills
Deep understanding of policy lifecycle, coverages/endorsements, exposures/locations, claims & reserves, reinsurance (treaty/fac), broker/bordereaux/distribution, and financial data flows.
Ability to translate underwriting, actuarial, and claims requirements into scalable data designs and analytics‑ready structures.
Proven experience in data standards, glossary, lineage and DQ rulebooks.
Leadership & Consulting Skills
Executive presence; structured storytelling and documentation.
Stakeholder management across business and technology; design authority facilitation.
Team development, workload planning, and delivery governance in Agile/hybrid models.
Experience with rating engines and underwriting workbenches.
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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