Data Modeler

Intelix.AI; Chicago (IL); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Intelix.AI is seeking a Senior Principal Data Modeller to own the core credit data model within a global data and analytics environment. You will shape conceptual, logical, and physical models and define key entities across multiple products and consumers.

You will partner with product, engineering, and domain stakeholders to drive decisions, produce governance artefacts, and establish standards that others can build against in a flexible hybrid Chicago setting.

Qualifications

• Extensive experience owning enterprise data models (conceptual, logical, physical).
• Strong background with financial services data (credit/risk/markets/reference).
• Ability to work in messy environments and reverse‑engineer data structures.
• Experience producing canonical models and governance artefacts.

Responsibilities

• Own the conceptual → logical → physical data model for a core credit domain.
• Define and refine entities such as issuer, instrument, rating, event, and time/history.
• Work across fragmented sources to establish clean, canonical definitions.
• Produce source‑to‑target mappings, data dictionaries, and lineage artefacts.
• Ensure models align with downstream data products, feeds, APIs.

Skills

Enterprise data modelling

Financial data domain knowledge

Stakeholder engagement

Independent working

Tools

Snowflake

Cloud data platforms

Data governance tooling

Job description

Principal Data Modeller | Credit / Financial Data

Contract

Chicago | Hybrid / flexible working

This role requires a senior data modeller/architect to take ownership of a complex financial data domain within a global data and analytics environment focused on defining and stabilising a core credit data model used across multiple products and consumers. You'll be expected to operate independently, make modelling decisions with incomplete information, and leave behind a clear, buildable structure for engineering teams.

This is a hands-on modelling authority position!

THE ROLE:

• Own the conceptual → logical → physical data model for a core credit domain
• Define and refine key entities such as issuer, instrument, rating, event, and time/history
• Work across fragmented and under-documented data sources to establish clean, canonical definitions
• Produce source-to-target mappings, data dictionaries, and lineage artefacts
• Ensure models are aligned with downstream delivery (data products, feeds, APIs)
• Partner with product, engineering, and domain stakeholders to drive decisions and resolve ambiguity
• Set modelling standards that others can follow and build against

THE REQUIREMENTS:

• Strong experience owning enterprise data models (conceptual, logical, physical)
• Proven background in financial services data (credit, risk, markets, or reference data)
• Ability to work in messy environments and reverse-engineer existing data structures
• Experience producing canonical models and governance artefacts
• Comfortable operating independently without heavy oversight
• Strong stakeholder engagement and ability to challenge where needed
• Exposure to Snowflake / modern cloud data platforms
• Experience working with data products, feeds, or APIs
• Familiarity with Data Vault / dimensional modelling approaches
• Experience in environments with multiple data consumers and distribution channels